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        <title>Journal of Digital Imaging via MedWorm.com</title>
        <description>MedWorm.com provides a medical RSS filtering service. Over 6000 RSS medical sources are combined and output via different filters. This feed contains the latest items from the 'Journal of Digital Imaging' source.</description>
        <link><![CDATA[http://www.medworm.com/rss/search.php?qu=Journal+of+Digital+Imaging&t=Journal+of+Digital+Imaging&s=Search&f=source]]></link>
        <lastBuildDate>Thu, 09 Feb 2012 03:37:37 +0100</lastBuildDate>
        <item>
            <title>Efficient Denoising Technique for CT images to Enhance Brain Hemorrhage Segmentation</title>
            <link>http://www.medworm.com/index.php?rid=5640093&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff212307p4p7147h5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents an adaptive denoising approach aiming to improve the visibility and detectability of hemorrhage from brain
 computed tomography (CT) images. The suggested approach fuses the images denoised by total variation (TV) method, denoised
 by curvelet-based method, and edge information extracted from the noise residue of TV method. The edge information is extracted
 from the noise residue of TV method by processing it through curvelet transform. The visual interpretation shows that the
 proposed approach not only reduces the staircase effect caused by total variation method but also reduces visual distortion
 induced by curvelet transform in the homogeneous areas of the CT images. The denoising abilities of the proposed method are
 further evaluated by segme...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5640093</comments>
            <pubDate>Wed, 25 Jan 2012 06:53:16 +0100</pubDate>
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        <item>
            <title>Accuracy and Reliability of Length Measurements on Three-Dimensional Computed Tomography Using Open-Source OsiriX Software</title>
            <link>http://www.medworm.com/index.php?rid=5640094&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F618246q463q6060x%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;There is a growing interest in three-dimensional computed tomography (3D-CT) as a research tool for the study of bone, joint
 anatomy, and kinematics. However, when CT data are processed and handled manually using image processing programs to yield
 3D image and coordinate value, systematic and random errors should be validated. We evaluated the accuracy and reliability
 of length measurement on CT with OsiriX software. 3D-CT scans were made of 14 frozen pig knees with five transosseous holes
 in the metaphyseal portion of femur. The lengths between tunnel orifices were measured using Mitutoyo Digimatic digital calipers
 to establish the gold standard, and with the OsiriX program in 3D multi-planar reformatting mode for comparison. All measurements
 were recorded by a p...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5640094</comments>
            <pubDate>Tue, 24 Jan 2012 07:54:56 +0100</pubDate>
            <guid isPermaLink="false">5640094</guid>        </item>
        <item>
            <title>A Comparison of Logistic Regression Analysis and an Artificial Neural Network Using the BI-RADS Lexicon for Ultrasonography in Conjunction with Introbserver Variability</title>
            <link>http://www.medworm.com/index.php?rid=5640095&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm72266028xt01047%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;To determine which Breast Imaging Reporting and Data System (BI-RADS) descriptors for ultrasound are predictors for breast
 cancer using logistic regression (LR) analysis in conjunction with interobserver variability between breast radiologists,
 and to compare the performance of artificial neural network (ANN) and LR models in differentiation of benign and malignant
 breast masses. Five breast radiologists retrospectively reviewed 140 breast masses and described each lesion using BI-RADS
 lexicon and categorized final assessments. Interobserver agreements between the observers were measured by kappa statistics.
 The radiologists’ responses for BI-RADS were pooled. The data were divided randomly into train (n = 70) and test sets (n = 70). Using train set, opti...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5640095</comments>
            <pubDate>Tue, 24 Jan 2012 07:54:54 +0100</pubDate>
            <guid isPermaLink="false">5640095</guid>        </item>
        <item>
            <title>Prepopulated Radiology Report Templates: A Prospective Analysis of Error Rate and Turnaround Time</title>
            <link>http://www.medworm.com/index.php?rid=5640096&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F5221k047780p37g4%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Current speech recognition software allows exam-specific standard reports to be prepopulated into the dictation field based
 on the radiology information system procedure code. While it is thought that prepopulating reports can decrease the time required
 to dictate a study and the overall number of errors in the final report, this hypothesis has not been studied in a clinical
 setting. A prospective study was performed. During the first week, radiologists dictated all studies using prepopulated standard
 reports. During the second week, all studies were dictated after prepopulated reports had been disabled. Final radiology reports
 were evaluated for 11 different types of errors. Each error within a report was classified individually. The median time required
 to dicta...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5640096</comments>
            <pubDate>Tue, 24 Jan 2012 07:54:53 +0100</pubDate>
            <guid isPermaLink="false">5640096</guid>        </item>
        <item>
            <title>Automatic Patient Table Removal in CT Images</title>
            <link>http://www.medworm.com/index.php?rid=5621910&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh86187531p4k6n44%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In many medical imaging applications, it is desirable and important to localize and remove the patient table from CT images.
 However, existing methods often require user interactions to define the table and sometimes make inaccurate assumptions about
 the table shape. Due to different patient table designs, shapes, and characteristics, these methods are not robust in identifying
 and removing the patient table. This paper proposes a new automatic approach which first identifies and locates the patient
 table in the sagittal planes and then removes it from the axial planes. The method has been tested successfully against different
 tables in different products from multiple vendors, showing it is both a versatile and robust technique for patient table
 removal.
 
 
	Con...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5621910</comments>
            <pubDate>Thu, 19 Jan 2012 06:48:35 +0100</pubDate>
            <guid isPermaLink="false">5621910</guid>        </item>
        <item>
            <title>An Open-Standards Grammar for Outline-Style Radiology Report Templates</title>
            <link>http://www.medworm.com/index.php?rid=5621911&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq3640985r175105w%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Structured reporting uses consistent ordering of results and standardized terminology to improve the quality and reduce the
 complexity of radiology reports. We sought to define a generalized approach for radiology reporting that produces flexible
 outline-style reports, accommodates structured information and named reporting elements, allows reporting terms to be linked
 to controlled vocabularies, uses existing informatics standards, and allows structured report data to be extracted readily.
 We applied the Regular Language for XML–Next Generation (RELAX NG) schema language to create templates for 110 reporting templates
 created as part of the Radiological Society of North America reporting initiative. We evaluated how well this approach addressed
 the project’s ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5621911</comments>
            <pubDate>Thu, 19 Jan 2012 06:48:28 +0100</pubDate>
            <guid isPermaLink="false">5621911</guid>        </item>
        <item>
            <title>Computerized Analysis of Mammographic Parenchymal Patterns on a Large Clinical Dataset of Full-Field Digital Mammograms: Robustness Study with Two High-Risk Datasets</title>
            <link>http://www.medworm.com/index.php?rid=5600444&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F3n77412573418436%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study was to demonstrate the robustness of our prior computerized texture analysis method for breast cancer
 risk assessment, which was developed initially on a limited dataset of screen-film mammograms. This current study investigated
 the robustness by (1) evaluating on a large clinical dataset, (2) using full-field digital mammograms (FFDM) as opposed to
 screen-film mammography, and (3) incorporating analyses over two types of high-risk patient sets, as well as patients at low
 risk for breast cancer. The evaluation included the analyses on the parenchymal patterns of women at high risk of developing
 of breast cancer, including both BRCA1/2 gene mutation carriers and unilateral cancer patients, and of women at low risk of
 developing breast canc...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5600444</comments>
            <pubDate>Fri, 13 Jan 2012 16:56:40 +0100</pubDate>
            <guid isPermaLink="false">5600444</guid>        </item>
        <item>
            <title>Enhancing Image Analytic Tools by Fusing Quantitative Physiological Values with Image Features</title>
            <link>http://www.medworm.com/index.php?rid=5600445&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F23563x88786mu885%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Computer-aided diagnosis systems (CADs) can quantify the severity of diseases by analyzing a set of images and employing prior
 statistical models. In general, CADs have proven to be effective at providing quantitative measurements of the extent of a
 particular disease, thus helping physicians to better monitor the progression of cancer, infectious diseases, and other health
 conditions. Electronic Health Records frequently include a large amount of clinical data and medical history that can provide
 critical information about the underlying condition of a patient. We hypothesize that the fusion of image and clinical–physiological
 features can be used to enhance the accuracy of automatic image classification models. In particular, this paper shows how
 image analyti...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5600445</comments>
            <pubDate>Fri, 13 Jan 2012 16:56:39 +0100</pubDate>
            <guid isPermaLink="false">5600445</guid>        </item>
        <item>
            <title>An Effective Approach of Lesion Segmentation Within the Breast Ultrasound Image Based on the Cellular Automata Principle</title>
            <link>http://www.medworm.com/index.php?rid=5600446&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq13233r80j7551k5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, a novel lesion segmentation within breast ultrasound (BUS) image based on the cellular automata principle is
 proposed. Its energy transition function is formulated based on global image information difference and local image information
 difference using different energy transfer strategies. First, an energy decrease strategy is used for modeling the spatial
 relation information of pixels. For modeling global image information difference, a seed information comparison function is
 developed using an energy preserve strategy. Then, a texture information comparison function is proposed for considering local
 image difference in different regions, which is helpful for handling blurry boundaries. Moreover, two neighborhood systems
 (von Neumann and Moore ne...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5600446</comments>
            <pubDate>Thu, 12 Jan 2012 06:42:32 +0100</pubDate>
            <guid isPermaLink="false">5600446</guid>        </item>
        <item>
            <title>An Interactive System for Computer-Aided Diagnosis of Breast Masses</title>
            <link>http://www.medworm.com/index.php?rid=5586629&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx010u27430133508%2F</link>
            <description>This study demonstrated the feasibility of developing an interactive CAD system with a large reference database
 and achieving improved performance.
 
 
	Content Type Journal ArticlePages 1-10DOI 10.1007/s10278-012-9451-0Authors
		Xingwei Wang, Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pittsburgh, PA 15213, USALihua Li, College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018 ChinaWei Liu, College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018 ChinaWeidong Xu, College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou, 310018 ChinaDror Lederman, Department of Radiology, University of Pittsburgh, 3362 Fifth Avenue, Pi...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5586629</comments>
            <pubDate>Tue, 10 Jan 2012 16:49:53 +0100</pubDate>
            <guid isPermaLink="false">5586629</guid>        </item>
        <item>
            <title>From the Editor’s Desk</title>
            <link>http://www.medworm.com/index.php?rid=5586630&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fln11664n6h147332%2F</link>
            <description>Content Type Journal ArticlePages 1-2DOI 10.1007/s10278-011-9447-1Authors
		Janice Honeyman-Buck, 508 Bramble Fern Ave, Deland, FL 32720, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5586630</comments>
            <pubDate>Sat, 07 Jan 2012 06:44:47 +0100</pubDate>
            <guid isPermaLink="false">5586630</guid>        </item>
        <item>
            <title>Influence of Image Metrics When Assessing Image Quality from a Test Object in Cardiac X-ray Systems: Part II</title>
            <link>http://www.medworm.com/index.php?rid=5573663&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk223532752721741%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The images generated in modern IC laboratories are created with high-quality standard (1,024 × 1,024 pixels and 10–12 bits/pixel)
 enabling cardiologists to perform interventions in the best conditions. But these images are in most of the cases archived
 in a basic quality standard (512 × 512 pixels and 8 bits/pixel). The purpose of this work is to complete the research developed
 in a previous paper and analyze the influence of the matrix size and the bit depth reduction on the image quality acquired
 on a polymethylmethacrylate (PMMA) phantom with a test object. The variation in contrast-to-noise ratio (CNR) and high contrast
 spatial resolution (HCSR) were investigated when the matrix size and the bit depth were independently modified for different
 phant...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5573663</comments>
            <pubDate>Fri, 06 Jan 2012 06:44:51 +0100</pubDate>
            <guid isPermaLink="false">5573663</guid>        </item>
        <item>
            <title>Computer-Aided Diagnosis for Detection of Lacunar Infarcts on MR Images: ROC Analysis of Radiologists’ Performance</title>
            <link>http://www.medworm.com/index.php?rid=5573664&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F80m3m2l615571871%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study was to retrospectively evaluate radiologist performance in detection of lacunar infarcts on T1- and T2-weighted images, without and with the use of a computer-aided diagnosis (CAD) scheme. Thirty T1-weighted and 30 T2-weighted MR images obtained from 30 patients were used for assessing observer performance. These images were acquired using
 the fast spin-echo sequence with a 1.5-T MR imaging scanner. The group included 15 patients (age range, 48–83&amp;nbsp;years; mean
 age, 67.2&amp;nbsp;years; 10 men and five women) with a lacunar infarct and 15 patients (age range, 39–76&amp;nbsp;years; mean age, 64.0&amp;nbsp;years;
 eight men and seven women) without lacunar infarcts. Nine radiologists participated in the study. The radiologists initially
 interpreted...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5573664</comments>
            <pubDate>Wed, 04 Jan 2012 07:01:40 +0100</pubDate>
            <guid isPermaLink="false">5573664</guid>        </item>
        <item>
            <title>PACS Bypass: A Semi-automated Routing Solution to Enable Filmless Operations When PACS Fails</title>
            <link>http://www.medworm.com/index.php?rid=5546481&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F7h3q556338009gq3%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In the filmless imaging department, an integrated imaging and reporting system is only as strong as its weakest link. An outage
 or downtime of a key segment, such as the Picture Archive Communications System (PACS), is a significant threat to efficient
 workflow, quality of image interpretation, ordering clinician’s review, and ultimately patient care. A multidisciplinary team
 (including physicists, technologists, radiologists, operations, and IT) developed a backup system to provide business continuity
 (i.e., quality control, interpretation, reporting, and clinician access) during an extended outage of the main departmental
 PACS.
 
 
	Content Type Journal ArticlePages 1-5DOI 10.1007/s10278-011-9446-2Authors
		Steve G. Langer, Radiology Informatics Lab, Mayo Clini...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5546481</comments>
            <pubDate>Fri, 23 Dec 2011 06:47:31 +0100</pubDate>
            <guid isPermaLink="false">5546481</guid>        </item>
        <item>
            <title>Automatic medical image annotation and keyword-based image retrieval using relevance feedback</title>
            <link>http://www.medworm.com/index.php?rid=5546480&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fpt844082u1416x77%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents novel multiple keywords annotation for medical images, keyword-based medical image retrieval, and relevance
 feedback method for image retrieval for enhancing image retrieval performance. For semantic keyword annotation, this study
 proposes a novel medical image classification method combining local wavelet-based center symmetric–local binary patterns
 with random forests. For keyword-based image retrieval, our retrieval system use the confidence score that is assigned to
 each annotated keyword by combining probabilities of random forests with predefined body relation graph. To overcome the limitation
 of keyword-based image retrieval, we combine our image retrieval system with relevance feedback mechanism based on visual
 feature and pattern cla...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5546480</comments>
            <pubDate>Fri, 23 Dec 2011 06:47:31 +0100</pubDate>
            <guid isPermaLink="false">5546480</guid>        </item>
        <item>
            <title>Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database</title>
            <link>http://www.medworm.com/index.php?rid=5546482&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F61427264171l3473%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Traditionally, image studies evaluating the effectiveness of computer-aided diagnosis (CAD) use a single label from a medical
 expert compared with a single label produced by CAD. The purpose of this research is to present a CAD system based on Belief
 Decision Tree classification algorithm, capable of learning from probabilistic input (based on intra-reader variability) and
 providing probabilistic output. We compared our approach against a traditional decision tree approach with respect to a traditional
 performance metric (accuracy) and a probabilistic one (area under the distance–threshold curve—AuCdt). The probabilistic classification technique showed notable performance improvement in comparison with the traditional one
 with respect to both evaluation metrics...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5546482</comments>
            <pubDate>Fri, 23 Dec 2011 06:47:29 +0100</pubDate>
            <guid isPermaLink="false">5546482</guid>        </item>
        <item>
            <title>Image Analysis Approach for Development of a Decision Support System for Detection of Malaria Parasites in Thin Blood Smear Images</title>
            <link>http://www.medworm.com/index.php?rid=5489413&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq5176845n3147k7k%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper describes development of a decision support system for diagnosis of malaria using color image analysis. A hematologist
 has to study around 100 to 300 microscopic views of Giemsa-stained thin blood smear images to detect malaria parasites, evaluate
 the extent of infection and to identify the species of the parasite. The proposed algorithm picks up the suspicious regions
 and detects the parasites in images of all the views. The subimages representing all these parasites are put together to form
 a composite image which can be sent over a communication channel to obtain the opinion of a remote expert for accurate diagnosis
 and treatment. We demonstrate the use of the proposed technique for use as a decision support system by developing an android
 applicatio...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5489413</comments>
            <pubDate>Wed, 07 Dec 2011 10:51:06 +0100</pubDate>
            <guid isPermaLink="false">5489413</guid>        </item>
        <item>
            <title>Handheld Device Review of Abdominal CT for the Evaluation of Acute Appendicitis</title>
            <link>http://www.medworm.com/index.php?rid=5489414&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F016767n054671766%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Advances in handheld computing now allow review of DICOM datasets from remote locations. As the diagnostic ability of this
 tool is unproven, we evaluated the ability to diagnose acute appendicitis on abdominal CT using a mobile DICOM viewer. This
 HIPAA compliant study was IRB-approved. Twenty-five abdominal CT studies from patients with RLQ pain were interpreted on a
 handheld device (iPhone) using a DICOM viewer (OsiriX mobile) by five radiologists. All patients had surgical confirmation
 of acute appendicitis or follow-up confirming no acute appendicitis. Studies were evaluated for the ability to find the appendix,
 maximum appendiceal diameter, presence of an appendicolith, periappendiceal stranding and fluid, abscess, and an assessment
 of the diagnosis of acute a...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5489414</comments>
            <pubDate>Wed, 07 Dec 2011 10:51:05 +0100</pubDate>
            <guid isPermaLink="false">5489414</guid>        </item>
        <item>
            <title>Innovation Strategies for Combating Occupational Stress and Fatigue in Medical Imaging</title>
            <link>http://www.medworm.com/index.php?rid=5489416&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd566434tr5251037%2F</link>
            <description>Content Type Journal ArticlePages 1-4DOI 10.1007/s10278-011-9437-3Authors
		Bruce I. Reiner, Department of Radiology, Veterans Affairs Maryland Healthcare System, 10 North Greene Street, Baltimore, MD 21201, USAElizabeth Krupinski, Department of Radiology, Psychology and the Arizona Telemedicine Program, University of Arizona, 1609 N Warren, Bldg 211, Rm 112, Tucson, AZ 85724, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5489416</comments>
            <pubDate>Tue, 06 Dec 2011 06:58:46 +0100</pubDate>
            <guid isPermaLink="false">5489416</guid>        </item>
        <item>
            <title>Histomorphometry of the Ligaments Using a Generic-Purpose Image Processing Software, a New Strategy for Semi-Automatized Measurements</title>
            <link>http://www.medworm.com/index.php?rid=5489415&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm3406315x5238uh6%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Gold chloride technique can be combined with Adobe Photoshop® software to yield a quantitative assessment of the different
 areas in heterogeneous structures as are ligament. A semi-automatized method based on the sum of two- and three-dimensional
 morphological criteria upon colorimetric criteria allows the identification and measurement of the area occupied by a structure
 of interest. It also allows the quantification of color intensity to differentiate structures with similar staining avidity,
 like vessels and nerves. This computer-assisted, semiquantitative procedure for computerized morphometry is relatively simple
 to perform. The accuracy, efficiency, and reproducibility of this method based on a commercially available imaging program
 were considered adequate...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5489415</comments>
            <pubDate>Tue, 06 Dec 2011 06:58:46 +0100</pubDate>
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        <item>
            <title>Demystifying Occupational Stress and Fatigue Through the Creation of an Adaptive End-User Profiling System</title>
            <link>http://www.medworm.com/index.php?rid=5489417&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fv257g328497x5456%2F</link>
            <description>Content Type Journal ArticlePages 1-5DOI 10.1007/s10278-011-9441-7Authors
		Bruce I. Reiner, Department of Radiology, Veterans Affairs Maryland Healthcare System, 10 North Greene Street, Baltimore, MD 21201, USAElizabeth Krupinski, Department of Radiology, Psychology and the Arizona Telemedicine Program, University of Arizona, 1609 N Warren, Bldg 211, Rm 112, Tucson, AZ 85724, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5489417</comments>
            <pubDate>Tue, 06 Dec 2011 06:58:45 +0100</pubDate>
            <guid isPermaLink="false">5489417</guid>        </item>
        <item>
            <title>The Insidious Problem of Fatigue in Medical Imaging Practice</title>
            <link>http://www.medworm.com/index.php?rid=5479380&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd4rl613280605148%2F</link>
            <description>Content Type Journal ArticlePages 1-4DOI 10.1007/s10278-011-9436-4Authors
		Bruce I. Reiner, Department of Radiology, Veterans Affairs Maryland Healthcare System, 10 North Greene Street, Baltimore, MD 21201, USAElizabeth Krupinski, Department of Radiology, Psychology and the Arizona Telemedicine Program, University of Arizona, 1609 N Warren, Bldg 211, Rm. 112, Tucson, AZ 85724, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5479380</comments>
            <pubDate>Mon, 05 Dec 2011 17:36:24 +0100</pubDate>
            <guid isPermaLink="false">5479380</guid>        </item>
        <item>
            <title>How to Measure Scapholunate and Cobb’s Angles on MRI and CT</title>
            <link>http://www.medworm.com/index.php?rid=5470832&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F46628q5vv683w825%2F</link>
            <description>We present a simple solution to measure angles between structures
 on different images that can be used both in CT and MR.
 
 
	Content Type Journal ArticlePages 1-4DOI 10.1007/s10278-011-9438-2Authors
		Zeev V. Maizlin, Department of Radiology, McMaster University Medical Centre, 1200 Main St. West, Hamilton, ON L8N 3Z5, CanadaPatrick M. Vos, Department of Radiology, St.Paul’s Hospital, Vancouver, BC, Canada
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5470832</comments>
            <pubDate>Wed, 30 Nov 2011 09:21:49 +0100</pubDate>
            <guid isPermaLink="false">5470832</guid>        </item>
        <item>
            <title>Real-Time Occupational Stress and Fatigue Measurement in Medical Imaging Practice</title>
            <link>http://www.medworm.com/index.php?rid=5470833&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa795762308l95520%2F</link>
            <description>Content Type Journal ArticlePages 1-6DOI 10.1007/s10278-011-9439-1Authors
		Elizabeth Krupinski, Department of Radiology, Psychology and the Arizona Telemedicine Program, University of Arizona, 1609 N Warren, Bldg 211, Rm 112, Tucson, AZ 85724, USABruce I. Reiner, Department of Radiology, Veterans Affairs Maryland Healthcare System, 10 North Greene Street, Baltimore, MD 21201, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5470833</comments>
            <pubDate>Tue, 29 Nov 2011 22:19:01 +0100</pubDate>
            <guid isPermaLink="false">5470833</guid>        </item>
        <item>
            <title>Automatic Segmentation of Ground-Glass Opacities in Lung CT Images by Using Markov Random Field-Based Algorithms</title>
            <link>http://www.medworm.com/index.php?rid=5433921&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fdp3j01106887580p%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Chest radiologists rely on the segmentation and quantificational analysis of ground-glass opacities (GGO) to perform imaging
 diagnoses that evaluate the disease severity or recovery stages of diffuse parenchymal lung diseases. However, it is computationally
 difficult to segment and analyze patterns of GGO while compared with other lung diseases, since GGO usually do not have clear
 boundaries. In this paper, we present a new approach which automatically segments GGO in lung computed tomography (CT) images
 using algorithms derived from Markov random field theory. Further, we systematically evaluate the performance of the algorithms
 in segmenting GGO in lung CT images under different situations. CT image studies from 41 patients with diffuse lung diseases
 were enroll...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5433921</comments>
            <pubDate>Thu, 17 Nov 2011 06:58:54 +0100</pubDate>
            <guid isPermaLink="false">5433921</guid>        </item>
        <item>
            <title>Shape-Based Classification of 3D Facial Data to Support 22q11.2DS Craniofacial Research</title>
            <link>http://www.medworm.com/index.php?rid=5424531&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp55763942j3775p8%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;3D imaging systems are used to construct high-resolution meshes of patient’s heads that can be analyzed by computer algorithms.
 Our work starts with such 3D head meshes and produces both global and local descriptors of 3D shape. Since these descriptors
 are numeric feature vectors, they can be used in both classification and quantification of various different abnormalities.
 In this paper, we define these descriptors, describe our methodology for constructing them from 3D head meshes, and show through
 a set of classification experiments involving cases and controls for a genetic disorder called 22q11.2 deletion syndrome that
 they are suitable for use in craniofacial research studies. The main contributions of this work include: automatic generation
 of novel globa...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5424531</comments>
            <pubDate>Wed, 16 Nov 2011 06:49:06 +0100</pubDate>
            <guid isPermaLink="false">5424531</guid>        </item>
        <item>
            <title>Computer-Based Route-Definition System for Peripheral Bronchoscopy</title>
            <link>http://www.medworm.com/index.php?rid=5424532&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fv8717131777p5x63%2F</link>
            <description>We present a system for the robust definition
 of complete airway routes suitable for image-guided bronchoscopy. The system incorporates both automatic and semiautomatic
 MDCT analysis methods for this purpose. Using an intuitive graphical user interface, the user invokes automatic analysis on
 a patient’s MDCT scan to produce a series of preliminary routes. Next, the user visually inspects each route and quickly corrects
 the observed route defects using the built-in semiautomatic methods. Application of the system to a human study for the planning
 and guidance of peripheral bronchoscopy demonstrates the efficacy of the system.
 
 
	Content Type Journal ArticlePages 1-11DOI 10.1007/s10278-011-9433-7Authors
		Michael W. Graham, Department of Electrical Engineering, Penn State University...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5424532</comments>
            <pubDate>Tue, 15 Nov 2011 06:47:44 +0100</pubDate>
            <guid isPermaLink="false">5424532</guid>        </item>
        <item>
            <title>User Evaluation of an Innovative Digital Reading Room</title>
            <link>http://www.medworm.com/index.php?rid=5412600&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp771146242064827%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Reading room design can have a major impact on radiologists’ health, productivity, and accuracy in reading. Several factors
 must be taken into account in order to optimize the work environment for radiologists. Further, with the advancement in imaging
 technology, clinicians now have the ability to view and see digital exams without having to interact with radiologists. However,
 it is important to design components that encourage and enhance interactions between clinicians and radiologists to increase
 patient safety, and to combine physician and radiologist expertise. The present study evaluates alternative workstations in
 a real-world testbed space, using qualitative data (users’ perspectives) to measure satisfaction with the lighting, ergonomics,
 furniture, c...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5412600</comments>
            <pubDate>Sat, 12 Nov 2011 06:47:29 +0100</pubDate>
            <guid isPermaLink="false">5412600</guid>        </item>
        <item>
            <title>A Flexible Database Architecture for Mining DICOM Objects: the DICOM Data Warehouse</title>
            <link>http://www.medworm.com/index.php?rid=5412601&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F77448527x3k40221%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Digital Imaging and Communications in Medicine (DICOM) has brought a very high level of standardization to medical images,
 allowing interoperability in many cases. However, there are still challenges facing the informaticist attempting to data mine
 DICOM objects. Images (and other objects) from different vintage equipment will encompass different levels of the standard,
 and there are also proprietary “shadow” tags to be aware of. The database architecture described herein “flattens” such differences
 by compiling a knowledge base of specific DICOM implementations and mapping variable data elements to a common lexicon for
 subsequent queries. The project is open sourced, built on open infrastructure, and is available at GitHub.
 
 
	Content Type Journal Articl...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5412601</comments>
            <pubDate>Sat, 12 Nov 2011 06:47:28 +0100</pubDate>
            <guid isPermaLink="false">5412601</guid>        </item>
        <item>
            <title>Towards a Repository for Standardized Medical Image and Signal Case Data Annotated with Ground Truth</title>
            <link>http://www.medworm.com/index.php?rid=5412602&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff0t13w6664403546%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Validation of medical signal and image processing systems requires quality-assured, representative and generally acknowledged
 databases accompanied by appropriate reference (ground truth) and clinical metadata, which are composed laboriously for each
 project and are not shared with the scientific community. In our vision, such data will be stored centrally in an open repository.
 We propose an architecture for a standardized case data and ground truth information repository supporting the evaluation
 and analysis of computer-aided diagnosis based on (a) the Reference Model for an Open Archival Information System (OAIS) provided
 by the NASA Consultative Committee for Space Data Systems (ISO 14721:2003), (b) the Dublin Core Metadata Initiative (DCMI)
 Element Set (ISO ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5412602</comments>
            <pubDate>Fri, 11 Nov 2011 06:55:03 +0100</pubDate>
            <guid isPermaLink="false">5412602</guid>        </item>
        <item>
            <title>Facial Recognition Software Success Rates for the Identification of 3D Surface Reconstructed Facial Images: Implications for Patient Privacy and Security</title>
            <link>http://www.medworm.com/index.php?rid=5412603&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F443453x4x9712110%2F</link>
            <description>This study assessed the ability
 of a computer application to match research subjects’ 3D facial reconstructions with conventional photographs of their face.
 In a prospective study, 29 subjects underwent CT scans of the head and had frontal digital photographs of their face taken.
 Facial reconstructions of each CT dataset were generated on a 3D workstation. In phase 1, photographs of the 29 subjects undergoing
 CT scans were added to a digital directory and tested for recognition using facial recognition software. In phases 2–4, additional
 photographs were added in groups of 50 to increase the pool of possible matches and the test for recognition was repeated.
 As an internal control, photographs of all subjects were tested for recognition against an identical photograph. Of 3D reco...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5412603</comments>
            <pubDate>Tue, 08 Nov 2011 06:47:27 +0100</pubDate>
            <guid isPermaLink="false">5412603</guid>        </item>
        <item>
            <title>Barton F. Branstetter 4th, Daniel L. Rubin, D. Scott Griffin, David L. Weiss (eds): Practical Imaging Informatics. Foundations and Applications for PACS Professionals</title>
            <link>http://www.medworm.com/index.php?rid=5391866&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd221715556016506%2F</link>
            <description>Content Type Journal ArticlePages 1-3DOI 10.1007/s10278-011-9427-5Authors
		Thomas M. Deserno, Department of Medical Informatics, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5391866</comments>
            <pubDate>Thu, 03 Nov 2011 16:58:23 +0100</pubDate>
            <guid isPermaLink="false">5391866</guid>        </item>
        <item>
            <title>Development of Automated Detection of Radiology Reports Citing Adrenal Findings</title>
            <link>http://www.medworm.com/index.php?rid=5391867&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fn1427402414n56k6%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The aim of this study was to determine the feasibility of automated detection of adrenal nodules, a common finding on CT,
 using a newly developed search engine that mines dictated radiology reports. To ensure Health Insurance Portability and Accountability
 Act compliance, we utilized a preexisting de-identified database of 32,974 CT reports from February 1, 2009 to February 28,
 2010. Common adrenal descriptors from 29 staff radiologists were used to develop an automated rule-based algorithm targeting
 adrenal findings. Each sentence within the free text of reports was searched with an adapted NegEx negation algorithm. The
 algorithm was refined using a 2-week test period of reports and subsequently validated using a 6-week period. Manual review
 of the 3,693 CT repor...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5391867</comments>
            <pubDate>Tue, 01 Nov 2011 05:54:10 +0100</pubDate>
            <guid isPermaLink="false">5391867</guid>        </item>
        <item>
            <title>Image Data Sharing for Biomedical Research—Meeting HIPAA Requirements for De-identification</title>
            <link>http://www.medworm.com/index.php?rid=5368310&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk392v5225v04m215%2F</link>
            <description>This article describes the
 development of an open-source software suite that implements DICOM Supplement 142 as part of the National Biomedical Imaging
 Archive (NBIA). It also describes the lessons learned by the authors as NBIA has acquired more than 20 image collections encompassing
 over 30 million images.
 
 
	Content Type Journal ArticlePages 1-11DOI 10.1007/s10278-011-9422-xAuthors
		John B. Freymann, SAIC-Frederick, Inc., EPN, Room 3006, 6130 Executive Blvd, Rockville, MD 20892, USAJustin S. Kirby, SAIC-Frederick, Inc., EPN, Suite 317, 6130 Executive Blvd, Rockville, MD 20892, USAJohn H. Perry, Radiological Society of North America, 820 Jorie Blvd, Oak Brook, IL 60523, USADavid A. Clunie, CoreLab Partners, Inc., 100 Overlook Center, Princeton, NJ 08540, USAC. Carl Jaffe, Boston Un...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5368310</comments>
            <pubDate>Sat, 29 Oct 2011 05:48:55 +0100</pubDate>
            <guid isPermaLink="false">5368310</guid>        </item>
        <item>
            <title>Automated Detection of Critical Results in Radiology Reports</title>
            <link>http://www.medworm.com/index.php?rid=5368311&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F35k176mj6v773386%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The goal of this study was to develop and validate text-mining algorithms to automatically identify radiology reports containing
 critical results including tension or increasing/new large pneumothorax, acute pulmonary embolism, acute cholecystitis, acute
 appendicitis, ectopic pregnancy, scrotal torsion, unexplained free intraperitoneal air, new or increasing intracranial hemorrhage,
 and malpositioned tubes and lines. The algorithms were developed using rule-based approaches and designed to search for common
 words and phrases in radiology reports that indicate critical results. Certain text-mining features were utilized such as
 wildcards, stemming, negation detection, proximity matching, and expanded searches with applicable synonyms. To further improve
 accuracy, t...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5368311</comments>
            <pubDate>Sat, 29 Oct 2011 05:48:54 +0100</pubDate>
            <guid isPermaLink="false">5368311</guid>        </item>
        <item>
            <title>Influence of Radiology Report Format on Reading Time and Comprehension</title>
            <link>http://www.medworm.com/index.php?rid=5368312&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr618550456012115%2F</link>
            <description>This study examined whether radiology report format influences reading time and comprehension of information. Three reports
 were reformatted to conventional free text, structured text organized by organ system, and hierarchical structured text organized
 by clinical significance. Five attending radiologists, five radiology residents, five internal medicine attendings, and five
 internal medicine residents read the reports and answered a series of questions about them. Reading was timed and participants
 reported reading preferences. For reading time, there was no significant effect for format, but there was for attending versus
 resident, and radiology versus internal medicine. For percent correct scores, there was no significant effect for report format
 or for attending versus resident,...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5368312</comments>
            <pubDate>Sat, 29 Oct 2011 05:48:52 +0100</pubDate>
            <guid isPermaLink="false">5368312</guid>        </item>
        <item>
            <title>Analysis of RadLex Coverage and Term Co-occurrence in Radiology Reporting Templates</title>
            <link>http://www.medworm.com/index.php?rid=5351042&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fcx3117350kv35200%2F</link>
            <description>This report presents the initial analysis of the intersection
 of these two major efforts. From 70 published radiology reporting templates, we extracted the names of 6,489 reporting elements.
 These terms were reviewed in conjunction with the RadLex vocabulary and classified as an exact match, a partial match, or
 unmatched. Of 2,509 unique terms, 1,017 terms (41%) matched exactly to RadLex terms, 660 (26%) were partial matches, and 832
 reporting terms (33%) were unmatched to RadLex. There is significant overlap between the terms used in the structured reporting
 templates and RadLex. The unmatched terms were analyzed using the multidimensional scaling (MDS) visualization technique to
 reveal semantic relationships among them. The co-occurrence analysis with the MDS visualization techniqu...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5351042</comments>
            <pubDate>Thu, 20 Oct 2011 05:55:37 +0100</pubDate>
            <guid isPermaLink="false">5351042</guid>        </item>
        <item>
            <title>Automatic Detection of Pectoral Muscle Using Average Gradient and Shape Based Feature</title>
            <link>http://www.medworm.com/index.php?rid=5339499&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fjgq258016x4q7q41%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In medio-lateral oblique view of mammogram, pectoral muscle may sometimes affect the detection of breast cancer due to their
 similar characteristics with abnormal tissues. As a result pectoral muscle should be handled separately while detecting the
 breast cancer. In this paper, a novel approach for the detection of pectoral muscle using average gradient- and shape-based
 feature is proposed. The process first approximates the pectoral muscle boundary as a straight line using average gradient-,
 position-, and shape-based features of the pectoral muscle. Straight line is then tuned to a smooth curve which represents
 the pectoral margin more accurately. Finally, an enclosed region is generated which represents the pectoral muscle as a segmentation
 mask. The main advan...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5339499</comments>
            <pubDate>Tue, 18 Oct 2011 06:00:11 +0100</pubDate>
            <guid isPermaLink="false">5339499</guid>        </item>
        <item>
            <title>Computerized Segmentation Method for Individual Calcifications Within Clustered Microcalcifications While Maintaining Their Shapes on Magnification Mammograms</title>
            <link>http://www.medworm.com/index.php?rid=5317874&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa16v18v54718l818%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In a computer-aided diagnosis (CADx) scheme for evaluating the likelihood of malignancy of clustered microcalcifications on
 mammograms, it is necessary to segment individual calcifications correctly. The purpose of this study was to develop a computerized
 segmentation method for individual calcifications with various sizes while maintaining their shapes in the CADx schemes. Our
 database consisted of 96 magnification mammograms with 96 clustered microcalcifications. In our proposed method, a mammogram
 image was decomposed into horizontal subimages, vertical subimages, and diagonal subimages for a second difference at scales
 1 to 4 by using a filter bank. The enhanced subimages for nodular components (NCs) and the enhanced subimages for both nodular
 and linear compo...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5317874</comments>
            <pubDate>Wed, 12 Oct 2011 05:46:58 +0100</pubDate>
            <guid isPermaLink="false">5317874</guid>        </item>
        <item>
            <title>Radiology Report Comparator: A Novel Method to Augment Resident Education</title>
            <link>http://www.medworm.com/index.php?rid=5277231&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fu776853ggh17241t%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Attending radiologists routinely edit radiology trainee dictated preliminary reports as part of standard workflow models.
 Time constraints, high volume, and spatial separation may not always facilitate clear discussion of these changes with trainees.
 However, these edits can represent significant teaching moments that are lost if they are not communicated back to trainees.
 We created an electronic method for retrieving and displaying changes made to resident written preliminary reports by attending
 radiologists during the process of radiology report finalization. The Radiology Information System is queried. Preliminary
 and final radiology reports, as well as report metadata, are extracted and stored in a database indexed by accession number
 and trainee/radiologist...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5277231</comments>
            <pubDate>Thu, 29 Sep 2011 06:07:13 +0100</pubDate>
            <guid isPermaLink="false">5277231</guid>        </item>
        <item>
            <title>Detection of Neovascularization in Diabetic Retinopathy</title>
            <link>http://www.medworm.com/index.php?rid=5213259&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F40n1x15820v3k1r2%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Diabetic retinopathy has become an increasingly important cause of blindness. Nevertheless, vision loss can be prevented from
 early detection of diabetic retinopathy and monitor with regular examination. Common automatic detection of retinal abnormalities
 is for microaneurysms, hemorrhages, hard exudates, and cotton wool spot. However, there is a worse case of retinal abnormality,
 but not much research was done to detect it. It is neovascularization where new blood vessels grow due to extensive lack of
 oxygen in the retinal capillaries. This paper shows that various combination of techniques such as image normalization, compactness
 classifier, morphology-based operator, Gaussian filtering, and thresholding techniques were used in developing of neovascularization
 d...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5213259</comments>
            <pubDate>Thu, 08 Sep 2011 06:05:45 +0100</pubDate>
            <guid isPermaLink="false">5213259</guid>        </item>
        <item>
            <title>From the Editor's Desk</title>
            <link>http://www.medworm.com/index.php?rid=5213258&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fc77910058t2526x8%2F</link>
            <description>Content Type Journal ArticleCategory EditorialPages 1-1DOI 10.1007/s10278-011-9415-9Authors
		Janice Honeyman-Buck, 508 Bramble Fern Ave, DeLand, FL 32720, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5213258</comments>
            <pubDate>Thu, 08 Sep 2011 06:05:45 +0100</pubDate>
            <guid isPermaLink="false">5213258</guid>        </item>
        <item>
            <title>Evaluation of Texture for Classification of Abdominal Aortic Aneurysm After Endovascular Repair</title>
            <link>http://www.medworm.com/index.php?rid=5213260&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fkrw0223828407576%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The use of the endovascular prostheses in abdominal aortic aneurysm has proven to be an effective technique to reduce the
 pressure and rupture risk of aneurysm. Nevertheless, in a long-term perspective, complications such as leaks inside the aneurysm
 sac (endoleaks) could appear causing a pressure elevation and increasing the danger of rupture consequently. At present, computed
 tomographic angiography (CTA) is the most common examination for medical surveillance. However, endoleak complications cannot
 always be detected by visual inspection on CTA scans. The investigation on new techniques to detect endoleaks and analyse
 their effects on treatment evolution is of great importance for endovascular aneurysm repair (EVAR) technique. The purpose
 of this work was to ev...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5213260</comments>
            <pubDate>Thu, 08 Sep 2011 06:05:44 +0100</pubDate>
            <guid isPermaLink="false">5213260</guid>        </item>
        <item>
            <title>DICOM for Implantations—Overview and Application</title>
            <link>http://www.medworm.com/index.php?rid=5150001&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F662tqk7427l23153%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Surgeons have to deal with many devices from different vendors within the operating room during surgery. Independent communication
 standards are necessary for the system integration of these devices. For implantations, three new extensions of the Digital
 Imaging and Communications in Medicine (DICOM) standard make use of a common communication standard that may optimise one
 of the surgeon's presently very time-consuming daily tasks. The paper provides a brief description of these DICOM Supplements
 and gives recommendations to their application in practice based on workflows that are proposed to be covered by the new standard
 extension. Two of the workflows are described in detail and separated into phases that are supported by the new data structures.
 Examples for...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5150001</comments>
            <pubDate>Sat, 20 Aug 2011 05:42:18 +0100</pubDate>
            <guid isPermaLink="false">5150001</guid>        </item>
        <item>
            <title>Streamlining Importation of Outside Prior DICOM Studies into an Imaging System</title>
            <link>http://www.medworm.com/index.php?rid=5099754&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm585v71221q0h645%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;A patient has an imaging study performed at one facility and has the study exported to portable media. Later, the patient
 takes the media to a different institution. The study on that media may need to be imported into that new institution’s imaging
 system. This would be done to avoid a repeat examination, or so that the study can be on file for reference purposes. Importing
 prior studies is best performed by creating a new order on the institution’s imaging system and then associating the DICOM
 objects from the prior study with it. In this way the prior study is actually inserted into the imaging system’s electronic
 health record (EHR) and is properly indexed so that it can be identified and later retrieved as needed. In the past at the
 Department of Vetera...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5099754</comments>
            <pubDate>Tue, 02 Aug 2011 05:52:37 +0100</pubDate>
            <guid isPermaLink="false">5099754</guid>        </item>
        <item>
            <title>Bridging the Text-Image Gap: a Decision Support Tool for Real-Time PACS Browsing</title>
            <link>http://www.medworm.com/index.php?rid=5099753&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fwj5172xk42655716%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we introduce an ontology-based technology that bridges the gap between MR images on the one hand and knowledge
 sources on the other hand. The proposed technology allows the user to express interest in a body region by selecting this
 region on the MR image he or she is viewing with a mouse device. The proposed technology infers the intended body structure
 from the manual selection and searches the external knowledge source for pertinent information. This technology can be used
 to bridge the gap between image data in the clinical workflow and (external) knowledge sources that help to assess the case
 with increased certainty, accuracy, and efficiency. We evaluate an instance of the proposed technology in the neurodomain
 by means of a user study in whic...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5099753</comments>
            <pubDate>Tue, 02 Aug 2011 05:52:37 +0100</pubDate>
            <guid isPermaLink="false">5099753</guid>        </item>
        <item>
            <title>Automatically Correlating Clinical Findings and Body Locations in Radiology Reports Using MedLEE</title>
            <link>http://www.medworm.com/index.php?rid=5082550&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fpv5mt7w80l846818%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we describe and evaluate a system that extracts clinical findings and body locations from radiology reports
 and correlates them. The system uses Medical Language Extraction and Encoding System (MedLEE) to map the reports’ free text
 to structured semantic representations of their content. A lightweight reasoning engine extracts the clinical findings and
 body locations from MedLEE’s semantic representation and correlates them. Our study is illustrative for research in which
 existing natural language processing software is embedded in a larger system. We manually created a standard reference based
 on a corpus of neuro and breast radiology reports. The standard reference was used to evaluate the precision and recall of
 the proposed system and its mo...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5082550</comments>
            <pubDate>Thu, 28 Jul 2011 05:46:42 +0100</pubDate>
            <guid isPermaLink="false">5082550</guid>        </item>
        <item>
            <title>An Algorithm for Intelligent Sorting of CT-Related Dose Parameters</title>
            <link>http://www.medworm.com/index.php?rid=5082549&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fyqkq01404756352u%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Imaging centers nationwide are seeking innovative means to record and monitor computed tomography (CT)-related radiation dose
 in light of multiple instances of patient overexposure to medical radiation. As a solution, we have developed RADIANCE, an
 automated pipeline for extraction, archival, and reporting of CT-related dose parameters. Estimation of whole-body effective
 dose from CT dose length product (DLP)—an indirect estimate of radiation dose—requires anatomy-specific conversion factors
 that cannot be applied to total DLP, but instead necessitate individual anatomy-based DLPs. A challenge exists because the
 total DLP reported on a dose sheet often includes multiple separate examinations (e.g., chest CT followed by abdominopelvic
 CT). Furthermore, the indi...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5082549</comments>
            <pubDate>Thu, 28 Jul 2011 05:46:42 +0100</pubDate>
            <guid isPermaLink="false">5082549</guid>        </item>
        <item>
            <title>Evaluation of Computer-Assisted Quantification of Carotid Artery Stenosis</title>
            <link>http://www.medworm.com/index.php?rid=5065769&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F24w882k122x5u388%2F</link>
            <description>In conclusion, when supported by advanced vessel analysis software, experienced readers are able to achieve good
 reproducibility. Even inexperienced readers are able to achieve good results in the assessment of carotid artery stenosis
 when using advanced vessel analysis software.
 
 
	Content Type Journal ArticlePages 1-8DOI 10.1007/s10278-011-9413-yAuthors
		Christina Biermann, Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str. 3, 72076 Tübingen, GermanyIlias Tsiflikas, Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str. 3, 72076 Tübingen, GermanyChristoph Thomas, Diagnostic and Interventional Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str. 3, 72076 Tübingen, GermanyBernadette Kasperek, Diagnostic and Interv...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5065769</comments>
            <pubDate>Sat, 23 Jul 2011 05:54:51 +0100</pubDate>
            <guid isPermaLink="false">5065769</guid>        </item>
        <item>
            <title>Quantified Visual Scoring of Metastatic Melanoma Patient Treatment Response Using Computed Tomography: Improving on the Current Standard</title>
            <link>http://www.medworm.com/index.php?rid=5059148&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ftq6285l816j6x735%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;To assess whether quantitative visual scoring (QVS) is a better early predictor of progression-free survival (PFS) in patients
 on chemotherapy for metastatic melanoma using CT than the currently used Response Evaluation Criteria in Solid Tumors (RECIST)
 standard. Retrospective evaluation of 65 consecutive patients with metastatic melanoma on treatment who had a baseline and
 follow-up CT after two cycles of therapy. QVS was used to code imaging findings on the radiology reports considering size
 change, brain metastases, new lesions, mixed lesion response, and the number of organ systems involved. RECIST 1.1 criteria
 placed patients in the progressive disease, stable disease, or partial response groups. Multiple regression analysis was used
 to correlate the various ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059148</comments>
            <pubDate>Fri, 22 Jul 2011 17:04:36 +0100</pubDate>
            <guid isPermaLink="false">5059148</guid>        </item>
        <item>
            <title>Effect of Display Magnification on Perceived Growth of Liver Lesions on Computed Tomography</title>
            <link>http://www.medworm.com/index.php?rid=5059149&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fyvn151676715n8m6%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Our goal was to investigate the effect of displayed image magnification on perception of the size of hepatic lesions on abdominal
 computed tomography (CT) scans. Institutional review board approval and informed observer consent were obtained. Three experienced
 radiologists reviewed 90 CT image pairs in one session. Each image pair demonstrated a solitary, well-defined hypodense hepatic
 lesion measuring greater than 1&amp;nbsp;cm obtained at two points in time. The image pairs were presented three times in random order,
 once with the left image magnified, once with the right image magnified, and once with neither image magnified. The radiologists
 were asked to determine on which image the lesion was smaller or if there was no difference. The responses were analyzed stat...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059149</comments>
            <pubDate>Thu, 21 Jul 2011 18:09:25 +0100</pubDate>
            <guid isPermaLink="false">5059149</guid>        </item>
        <item>
            <title>A Fast Region-Based Active Contour Model for Boundary Detection of Echocardiographic Images</title>
            <link>http://www.medworm.com/index.php?rid=5059150&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ffx0417k218x5vw67%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents the boundary detection of atrium and ventricle in echocardiographic images. In case of mitral regurgitation,
 atrium and ventricle may get dilated. To examine this, doctors draw the boundary manually. Here the aim of this paper is to
 evolve the automatic boundary detection for carrying out segmentation of echocardiography images. Active contour method is
 selected for this purpose. There is an enhancement of Chan–Vese paper on active contours without edges. Our algorithm is based
 on Chan–Vese paper active contours without edges, but it is much faster than Chan–Vese model. Here we have developed a method
 by which it is possible to detect much faster the echocardiographic boundaries. The method is based on the region information
 of an image. ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059150</comments>
            <pubDate>Thu, 21 Jul 2011 18:09:24 +0100</pubDate>
            <guid isPermaLink="false">5059150</guid>        </item>
        <item>
            <title>Group Average Difference: A Termination Criterion for Active Contour</title>
            <link>http://www.medworm.com/index.php?rid=5059151&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F348444p3ng701t05%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents a termination criterion for active contour that does not involve alteration of the energy functional.
 The criterion is based on the area difference of the contour during evolution. In this criterion, the evolution of the contour
 terminates when the area difference fluctuates around a constant. The termination criterion is tested using parametric gradient
 vector flow active contour with contour resampling and normal force selection. The usefulness of the criterion is shown through
 its trend, speed, accuracy, shape insensitivity, and insensitivity to contour resampling. The metric used in the proposed
 criterion demonstrated a steadily decreasing trend. For automatic implementation in which different shapes need to be segmented,
 the proposed crite...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059151</comments>
            <pubDate>Wed, 20 Jul 2011 12:28:48 +0100</pubDate>
            <guid isPermaLink="false">5059151</guid>        </item>
        <item>
            <title>Endocardial Border Detection in Cardiac Magnetic Resonance Images Using Level Set Method</title>
            <link>http://www.medworm.com/index.php?rid=5059152&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa370p70818n5187k%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Segmentation of the left ventricle in MRI images is a task with important diagnostic power. Currently, the evaluation of cardiac
 function involves the global measurement of volumes and ejection fraction. This evaluation requires the segmentation of the
 left ventricle contour. In this paper, we propose a new method for automatic detection of the endocardial border in cardiac
 magnetic resonance images, by using a level set segmentation-based approach. To initialize this level set segmentation algorithm,
 we propose to threshold the original image and to use the binary image obtained as initial mask for the level set segmentation
 method. For the localization of the left ventricular cavity, used to pose the initial binary mask, we propose an automatic
 approach to detec...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059152</comments>
            <pubDate>Wed, 20 Jul 2011 12:28:46 +0100</pubDate>
            <guid isPermaLink="false">5059152</guid>        </item>
        <item>
            <title>Repeatability of Measured Brain Volume by Atlas-Based Method Using T1-Weighted Image</title>
            <link>http://www.medworm.com/index.php?rid=5059153&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh6l2v8623712817n%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The aims of this study were to (1) investigate the repeatability of measured volumes using the atlas-based method in each
 area of the brain, and (2) validate our hypothesis that the repeatability of the measured volumes with the atlas-based method
 was improved by using smoothed images. T1-weighted magnetic resonance images were obtained in five healthy subjects using
 the 1.5-T scanner. We used Statistical Parametric Mapping 5 and WFU PickAtlas software (theory of the Talairach brain atlas).
 Volumes inside region-of-interest (ROI) were measured in ten sets (five subjects × right and left) on six ROIs, respectively.
 One set comprises five images (one subject × five 3D-T1WIs). The percentage change was defined as [100 × (measured volume–mean
 volume in each set)/...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059153</comments>
            <pubDate>Wed, 20 Jul 2011 12:28:44 +0100</pubDate>
            <guid isPermaLink="false">5059153</guid>        </item>
        <item>
            <title>Optimizing Technology Development and Adoption in Medical Imaging Using the Principles of Innovation Diffusion, Part II: Practical Applications</title>
            <link>http://www.medworm.com/index.php?rid=5059154&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk7q7904l887ktw00%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Successful adoption of new technology development can be accentuated by learning and applying the scientific principles of
 innovation diffusion. This is of particular importance to areas within the medical imaging practice which have lagged in innovation;
 perhaps, the most notable of which is reporting which has remained relatively stagnant for over a century. While the theoretical
 advantages of structured reporting have been well documented throughout the medical imaging community, adoption to date has
 been tepid and largely relegated to the academic and breast imaging communities. Widespread adoption will likely require an
 alternative approach to innovation, which addresses the heterogeneity and diversity of the practicing radiologist community
 along with the ev...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5059154</comments>
            <pubDate>Tue, 19 Jul 2011 06:42:40 +0100</pubDate>
            <guid isPermaLink="false">5059154</guid>        </item>
        <item>
            <title>Using an Open-Source PACS Virtual Machine for a Digital Angiography Unit: Methods and Initial Impressions</title>
            <link>http://www.medworm.com/index.php?rid=5032773&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp8n2142574k5l771%2F</link>
            <description>We describe the approach and current results
 in this paper.
 
 
	Content Type Journal ArticlePages 1-10DOI 10.1007/s10278-011-9401-2Authors
		George C. Kagadis, Department of Medical Physics, School of Medicine, University of Patras, P.O. Box 132 73, GR 265 04 Rion, GreeceChristos Alexakos, Department of Computer Engineering and Informatics, University of Patras, GR 265 00 Rion, GreeceSteve G. Langer, Department of Radiology, Mayo Clinic, Rochester, MN, USATodd French, Department of Radiology, Mayo Clinic, Rochester, MN, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5032773</comments>
            <pubDate>Tue, 12 Jul 2011 05:54:34 +0100</pubDate>
            <guid isPermaLink="false">5032773</guid>        </item>
        <item>
            <title>Detection of Cancerous Masses in Mammograms by Template Matching: Optimization of Template Brightness Distribution by Means of Evolutionary Algorithm</title>
            <link>http://www.medworm.com/index.php?rid=5032774&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F75344046756t9055%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Optimization of brightness distribution in the template used for detection of cancerous masses in mammograms by means of correlation
 coefficient is presented. This optimization is performed by the evolutionary algorithm using an auxiliary mass classifier. Brightness along the radius of the circularly symmetric template is coded indirectly by its second derivative. The fitness
 function is defined as the area under curve (AUC) of the receiver operating characteristic (ROC) for the mass classifier. The ROC and AUC are obtained for a teaching set of regions of interest (ROIs), for which it is known whether a ROI is true-positive
 (TP) or false-positive (F). The teaching set is obtained by running the mass detector using a template with a predetermined brightness. Subseque...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5032774</comments>
            <pubDate>Tue, 12 Jul 2011 05:54:33 +0100</pubDate>
            <guid isPermaLink="false">5032774</guid>        </item>
        <item>
            <title>Our Path to a Filmless Future</title>
            <link>http://www.medworm.com/index.php?rid=5032775&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe35362l18lu68274%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Film-based radiographs are still being used to teach in a conference format, which presents several viewing challenges amongst
 other problems. In the age of cloud computing, which enables the use of online server storage space, this information could
 be used more effectively if it were digitized. However, digitizing film-based radiographs and making them available for use
 in the cloud is not as easy as it seems. In order to address the issue of digitizing the film-based radiograph libraries in
 our radiology department, we looked at several options. The option that we chose was a consumer-grade scanner, and this decision
 was based on price, resolution, shades of gray, built-in transparency function, and its physical attributes. Our goal was
 to digitize the film-bas...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5032775</comments>
            <pubDate>Tue, 12 Jul 2011 05:54:29 +0100</pubDate>
            <guid isPermaLink="false">5032775</guid>        </item>
        <item>
            <title>The Next Wave: Confexting</title>
            <link>http://www.medworm.com/index.php?rid=5032777&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm342714lv8603830%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Radiology conferences enable participants the opportunity to ask experts questions through question and answer (Q and A) sessions
 or individually. Given the time limitations and intimidating circumstances, we incorporated conference text messaging (confexting)
 as a method of increasing interactivity between the audience and speakers. During a 5-day radiology conference, text messaging
 was utilized for anonymous interactivity between the audience and speakers during Q and A sessions. There were 324 text messages;
 76 of these were either follow-up statements or questions related to earlier text messages. Forty-two questions were submitted
 via paper notes. There was a general trend of an increasing number of text messages and a decreasing number of paper notes.
 The a...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5032777</comments>
            <pubDate>Tue, 12 Jul 2011 05:54:27 +0100</pubDate>
            <guid isPermaLink="false">5032777</guid>        </item>
        <item>
            <title>Accurate Determination of Imaging Modality using an Ensemble of Text- and Image-Based Classifiers</title>
            <link>http://www.medworm.com/index.php?rid=5032776&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw576245u03321347%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Imaging modality can aid retrieval of medical images for clinical practice, research, and education. We evaluated whether
 an ensemble classifier could outperform its constituent individual classifiers in determining the modality of figures from
 radiology journals. Seventeen automated classifiers analyzed 77,495 images from two radiology journals. Each classifier assigned
 one of eight imaging modalities—computed tomography, graphic, magnetic resonance imaging, nuclear medicine, positron emission
 tomography, photograph, ultrasound, or radiograph—to each image based on visual and/or textual information. Three physicians
 determined the modality of 5,000 randomly selected images as a reference standard. A “Simple Vote” ensemble classifier assigned
 each image to...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=5032776</comments>
            <pubDate>Tue, 12 Jul 2011 05:54:27 +0100</pubDate>
            <guid isPermaLink="false">5032776</guid>        </item>
        <item>
            <title>Identification of Apical Vertebra for Grading of Idiopathic Scoliosis using Image Processing</title>
            <link>http://www.medworm.com/index.php?rid=4995100&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fl10n54673v3g4715%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Scoliosis is a 3-D deformity of spinal column, characterized by both lateral curvature and vertebral rotation. The disease
 can be caused by congenital, developmental, or degenerative problems; but most cases of scoliosis actually have no known cause,
 and this is known as idiopathic scoliosis. Vertebral rotation has become increasingly prominent in the study of scoliosis
 and the most deformed vertebra is named as apical vertebra. Apical vertebral deformity demonstrates significance in both preoperative
 and postoperative assessment, providing better appreciation of the impact of bracing or surgical interventions. Precise measurement
 of apical vertebral rotation in terms of grading is most valuable for the determination of reference value in normal and pathological
 c...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4995100</comments>
            <pubDate>Fri, 01 Jul 2011 17:41:55 +0100</pubDate>
            <guid isPermaLink="false">4995100</guid>        </item>
        <item>
            <title>Optimization of the Radiological Protection of Patients Undergoing Digital Radiography</title>
            <link>http://www.medworm.com/index.php?rid=4995101&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F48t866587738p051%2F</link>
            <description>In this study, we evaluated the difference of patient radiation
 and image rejection before and after OT to identify if it is necessary to carry out an OT procedure in a routine task with
 DR. The study consisted of a measurement of the dose area product (DAP) and entrance surface dose (ESD) received by a reference
 group of patients for eight common radiographic procedures using the DR system before and after OT. Meanwhile image rejection
 data during two 2-month periods were collected and sorted according to reason. For every radiographic procedure, t tests showed significant difference in average ESD and DAP before and after OT (p &amp;lt; 0.005). The ESDs from most examinations before OT were three times higher than that after OT. For DAPs, the difference
 is more significant. Image re...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4995101</comments>
            <pubDate>Fri, 01 Jul 2011 17:41:54 +0100</pubDate>
            <guid isPermaLink="false">4995101</guid>        </item>
        <item>
            <title>Computer-Aided Detection Scheme for Sentinel Lymph Nodes in Lymphoscintigrams using Symmetrical Property Around Mapped Injection Point</title>
            <link>http://www.medworm.com/index.php?rid=4995102&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fbk20ppk877ut5m56%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;It is difficult to detect sentinel lymph nodes (SLNs) around an injection point of radiopharmaceuticals mapped in lymphoscintigrams.
 The purpose of this study was to develop a computer-aided detection (CAD) scheme for SLNs by a subtraction technique using
 the symmetrical property in the mapped injection point. Our database consisted of 78 lymphoscintigrams with 86 SLNs. In our
 CAD scheme, the mapped injection point of radiopharmaceuticals was first segmented from the lymphoscintigram using a gray-level
 thresholding technique. Lymphoscintigram was then divided into four regions by vertical and horizontal straight lines through
 the center of the segmented injection point. One of the four divided regions was defined as the target region. The correlation
 coefficients ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4995102</comments>
            <pubDate>Fri, 01 Jul 2011 17:41:53 +0100</pubDate>
            <guid isPermaLink="false">4995102</guid>        </item>
        <item>
            <title>Optimizing Technology Development and Adoption in Medical Imaging Using the Principles of Innovation Diffusion, Part I: Theoretical, Historical, and Contemporary Considerations</title>
            <link>http://www.medworm.com/index.php?rid=4988477&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fu53k8n7735588770%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The pioneering work performed in the social sciences on diffusion of innovation can be applied to medical imaging and shed
 valuable insights as to how innovation is analyzed and adopted within the population of end-users. Successful innovation must
 take into account unique stakeholder differences, changes in communication and social interactions, and shifting priorities
 in market economics. The dramatic changes currently underway in current medical imaging practice provides unique innovation
 opportunities to those individuals and companies which can utilize this knowledge and effect change in objective and reproducible
 means. Successful innovation should rely upon data-driven objective analysis, which can scientifically validate the inherent
 strengths and weakness...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4988477</comments>
            <pubDate>Tue, 28 Jun 2011 06:06:01 +0100</pubDate>
            <guid isPermaLink="false">4988477</guid>        </item>
        <item>
            <title>Fusion of Color Doppler and Magnetic Resonance Images of the Heart</title>
            <link>http://www.medworm.com/index.php?rid=4916553&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fd47n631vh200v765%2F</link>
            <description>This study was designed to establish and analyze color Doppler and magnetic resonance fusion images of the heart, an approach
 for simultaneous testing of cardiac pathological alterations, performance, and hemodynamics. Ten volunteers were tested in
 this study. The echocardiographic images were produced by Philips IE33 system and the magnetic resonance images were generated
 from Philips 3.0-T system. The fusion application was implemented on MATLAB platform utilizing image processing technology.
 The fusion image was generated from the following steps: (1) color Doppler blood flow segmentation, (2) image registration
 of color Doppler and magnetic resonance imaging, and (3) image fusion of different image types. The fusion images of color
 Doppler blood flow and magnetic resonance images...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4916553</comments>
            <pubDate>Wed, 08 Jun 2011 05:48:15 +0100</pubDate>
            <guid isPermaLink="false">4916553</guid>        </item>
        <item>
            <title>Biplane Correlation Imaging: A Feasibility Study Based on Phantom and Human Data</title>
            <link>http://www.medworm.com/index.php?rid=4897993&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fj3p6423qlj7x0001%2F</link>
            <description>The objective of this study was to implement and evaluate the performance of a biplane correlation imaging (BCI) technique
 aimed to reduce the effect of anatomic noise and improve the detection of lung nodules in chest radiographs. Seventy-one low-dose
 posterior–anterior images were acquired from an anthropomorphic chest phantom with 0.28° angular separations over a range
 of ±10° along the vertical axis within an 11&amp;nbsp;s interval. Similar data were acquired from 19 human subjects with institutional
 review board approval and informed consent. The data were incorporated into a computer-aided detection (CAD) algorithm in
 which suspect lesions were identified by examining the geometrical correlation of the detected signals that remained relatively
 constant against variable anatomi...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4897993</comments>
            <pubDate>Fri, 27 May 2011 06:01:07 +0100</pubDate>
            <guid isPermaLink="false">4897993</guid>        </item>
        <item>
            <title>Comparison between Different Cost Devices for Digital Capture of X-ray Films: An Image Characteristics Detection Approach</title>
            <link>http://www.medworm.com/index.php?rid=4897994&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm17m4155jm856157%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;A common teleradiology practice is digitizing films. The costs of specialized digitizers are very high, that is why there
 is a trend to use conventional scanners and digital cameras. Statistical clinical studies are required to determine the accuracy
 of these devices, which are very difficult to carry out. The purpose of this study was to compare three capture devices in
 terms of their capacity to detect several image characteristics. Spatial resolution, contrast, gray levels, and geometric
 deformation were compared for a specialized digitizer ICR (US$&amp;nbsp;15,000), a conventional scanner UMAX (US$&amp;nbsp;1,800), and a digital
 camera LUMIX (US$&amp;nbsp;450, but require an additional support system and a light box for about US$&amp;nbsp;400). Test patterns printed
 in films ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4897994</comments>
            <pubDate>Thu, 26 May 2011 05:48:20 +0100</pubDate>
            <guid isPermaLink="false">4897994</guid>        </item>
        <item>
            <title>A Parallel Method to Improve Medical Image Transmission</title>
            <link>http://www.medworm.com/index.php?rid=4835722&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fl46838808768j703%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The staggering number of images acquired by modern modalities requires new approaches for medical data transmission. There
 have been several attempts to improve data transmission time between medical imaging systems. These attempts were mostly based
 on compression. Although the compression methods can help in many cases, they are sometimes ineffectual in high-speed networks.
 This paper introduces parallelism to provide an effective method of medical data transmission over both local area network
 (LAN) and wide area network (WAN). It is based on the Digital Imaging and Communications in Medicine (DICOM) protocol and
 uses parallel TCP connections in storage services within the protocol. Using the proposed interface in our method, current
 medical imaging applications...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4835722</comments>
            <pubDate>Thu, 12 May 2011 18:56:47 +0100</pubDate>
            <guid isPermaLink="false">4835722</guid>        </item>
        <item>
            <title>Assessment of Coronary Artery Calcium Using Dual-Energy Subtraction Digital Radiography</title>
            <link>http://www.medworm.com/index.php?rid=4816528&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6k24750p6n84613q%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Cardiovascular disease is the leading cause of global mortality, yet its early detection remains a vexing problem of modern
 medicine. Although the computed tomography (CT) calcium score predicts cardiovascular risk, relatively high cost ($250–400)
 and radiation dose (1–3&amp;nbsp;mSv) limit its universal utility as a screening tool. Dual-energy digital subtraction radiography
 (DE; &amp;lt;$60, 0.07&amp;nbsp;mSv) enables detection of calcified structures with high sensitivity. In this pilot study, we examined DE
 radiography’s ability to quantify coronary artery calcification (CAC). We identified 25 patients who underwent non-contrast
 CT and DE chest imaging performed within 12&amp;nbsp;months using documented CAC as the major inclusion criteria. A DE calcium score
 was develo...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4816528</comments>
            <pubDate>Tue, 10 May 2011 05:56:39 +0100</pubDate>
            <guid isPermaLink="false">4816528</guid>        </item>
        <item>
            <title>False Positive Marks on Unsuspicious Screening Mammography with Computer-Aided Detection</title>
            <link>http://www.medworm.com/index.php?rid=4808695&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff1r2374h33640g8k%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The contribution of computer-aided detection (CAD) systems as an interpretive aid in screening mammography can be hampered
 by a high rate of false positive detections. Specificity, false positive rate, and ease of dismissing false positive marks
 from two CAD systems are retrospectively evaluated. One hundred screening mammographic studies with a BI-RADS assessment code
 of 1 or 2 and at least 2-year normal mammographic follow-up were retrospectively reviewed using two CAD systems. Breast density,
 CAD marks, and radiologist's ease of dismissing false positive marks were recorded. Specificities from the two CAD versions
 considering all marks were 23% and 15% (p value = 0.07); mass marks, 35% and 17% (p value &amp;lt; 0.01); and calcification marks 62% and 75% (p v...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4808695</comments>
            <pubDate>Fri, 06 May 2011 05:50:34 +0100</pubDate>
            <guid isPermaLink="false">4808695</guid>        </item>
        <item>
            <title>Assessment of Patient Doses in CR Examinations Throughout a Large Health Region</title>
            <link>http://www.medworm.com/index.php?rid=4808696&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe10652235773l374%2F</link>
            <description>This report highlights the dose variation in common computed radiography (CR) examinations throughout a
 large health region. The RadChex cassette was used to measure the radiation exposure at the table or wall bucky in 20 CR rooms,
 in seven hospitals, using CR technology from two vendors. Exposures were made to simulate patient exposure (21&amp;nbsp;cm polymethyl
 methacrylate) under standard conditions for each bucky: 81&amp;nbsp;kVp at 100&amp;nbsp;cm for anteroposterior abdomen table bucky exposures
 (180&amp;nbsp;cm for posteroanterior chest wall bucky exposures), using the left, the right, or the center automatic exposure control
 (AEC) cells. Protocol settings were recorded. An average of 37% variation was found between AEC chambers, with a range between
 4% and 137%. A 60% difference in dose was ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4808696</comments>
            <pubDate>Fri, 06 May 2011 05:50:33 +0100</pubDate>
            <guid isPermaLink="false">4808696</guid>        </item>
        <item>
            <title>A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images</title>
            <link>http://www.medworm.com/index.php?rid=4808697&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F5578x4611255874t%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;We have developed a method to quantify the shape of liver lesions in CT images and to evaluate its performance for retrieval
 of images with similarly-shaped lesions. We employed a machine learning method to combine several shape descriptors and defined
 similarity measures for a pair of shapes as a weighted combination of distances calculated based on each feature. We created
 a dataset of 144 simulated shapes and established several reference standards for similarity and computed the optimal weights
 so that the retrieval result agrees best with the reference standard. Then we evaluated our method on a clinical database
 consisting of 79 portal-venous-phase CT liver images, where we derived a reference standard of similarity from radiologists’
 visual evaluation. No...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4808697</comments>
            <pubDate>Fri, 06 May 2011 05:50:32 +0100</pubDate>
            <guid isPermaLink="false">4808697</guid>        </item>
        <item>
            <title>Characterizing the Clustered Microcalcifications on Mammograms to Predict the Pathological Classification and Grading: A Mathematical Modeling Approach</title>
            <link>http://www.medworm.com/index.php?rid=4750368&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh374q0567771770r%2F</link>
            <description>In this study, we explore a mathematical model to characterize the clustered microcalcifications on mammograms for predicting
 the pathological classification and grading. Our database consists of both retrospective cases (78 cases) and prospective
 cases (31 cases) with pathologically diagnosed clusters of microcalcifications on mammograms. The microcalcifications were
 divided into four grades: grade 0, benign breast disease including mastopathies (n = 12) and fibroadenomas (n = 20); grade 1, well-differentiated infiltrating ductal carcinoma (n = 12); grade 2, moderately differentiated infiltrating ductal carcinoma (n = 38); grade 3, poorly differentiated infiltrating ductal carcinoma (n = 27). A feature parameter, defined as the pattern form factor of microcalcificat...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4750368</comments>
            <pubDate>Fri, 22 Apr 2011 05:44:31 +0100</pubDate>
            <guid isPermaLink="false">4750368</guid>        </item>
        <item>
            <title>Locating the Reference Point of Symphysis Pubis in Axial CT Images</title>
            <link>http://www.medworm.com/index.php?rid=4728658&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fjw764m2m08121072%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In this paper, we present an effective method to determine the reference point of symphysis pubis (SP) in an axial stack of
 CT images to facilitate image registration for pelvic cancer treatment. In order to reduce the computational time, the proposed
 method consists of two detection parts, the coarse detector, and the fine detector. The detectors check each image patch whether
 it contains the characteristic structure of SP. The coarse detector roughly determines the location of the reference point
 of SP using three types of information, which are the location and intensity of an image patch, the SP appearance, and the
 geometrical structure of SP. The fine detector examines around the location found by the coarse detection to refine the location
 of the reference p...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4728658</comments>
            <pubDate>Fri, 15 Apr 2011 05:48:28 +0100</pubDate>
            <guid isPermaLink="false">4728658</guid>        </item>
        <item>
            <title>Integration of Imaging Signs into RadLex</title>
            <link>http://www.medworm.com/index.php?rid=4728659&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr4m41447tw523073%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Imaging signs form an important part of the language of radiology, but are not represented in established lexicons. We sought
 to incorporate imaging signs into RSNA's RadLex® ontology of radiology terms. Names of imaging signs and their definitions
 were culled from books, journal articles, dictionaries, and biomedical web sites. Imaging signs were added into RadLex as
 subclasses of the term “imaging sign,” which was defined in RadLex as a subclass of “imaging observation.” A total of 743
 unique imaging signs were added to RadLex with their 392 synonyms to yield a total of 1,135 new terms. All included definitions
 and related RadLex terms, including imaging modality, anatomy, and disorder, when appropriate. The information will allow
 RadLex users to identi...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4728659</comments>
            <pubDate>Fri, 15 Apr 2011 05:48:27 +0100</pubDate>
            <guid isPermaLink="false">4728659</guid>        </item>
        <item>
            <title>X-ray Image Classification Using Random Forests with Local Wavelet-Based CS-Local Binary Patterns</title>
            <link>http://www.medworm.com/index.php?rid=4728660&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fc628635264r3777v%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents a fast and efficient method for classifying X-ray images using random forests with proposed local wavelet-based
 local binary pattern (LBP) to improve image classification performance and reduce training and testing time. Most studies
 on local binary patterns and its modifications, including centre symmetric LBP (CS-LBP), focus on using image pixels as descriptors.
 To classify X-ray images, we first extract local wavelet-based CS-LBP (WCS-LBP) descriptors from local parts of the images
 to describe the wavelet-based texture characteristic. Then we apply the extracted feature vector to decision trees to construct
 random forests, which are an ensemble of random decision trees. Using the random forests with local WCS-LBP, we classified
 one test imag...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4728660</comments>
            <pubDate>Wed, 13 Apr 2011 14:24:21 +0100</pubDate>
            <guid isPermaLink="false">4728660</guid>        </item>
        <item>
            <title>Evaluation of Novel Genetic Algorithm Generated Schemes for Positron Emission Tomography (PET)/Magnetic Resonance Imaging (MRI) Image Fusion</title>
            <link>http://www.medworm.com/index.php?rid=4706572&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fvl5jv424n2765107%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The use and benefits of a multimodality approach in the context of breast cancer imaging are discussed. Fusion techniques
 that allow multiple images to be viewed simultaneously are discussed. Many of these fusion techniques rely on the use of color
 tables. A genetic algorithm that generates color tables that have desired properties such as satisfying the order principle,
 the rows, and columns principle, have perceivable uniformity and have maximum contrast is introduced. The generated 2D color
 tables can be used for displaying fused datasets. The advantage the proposed method has over other techniques is the ability
 to consider a much larger set of possible color tables, ensuring that the best one is found. We asked radiologists to perform
 a set of tasks reading f...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4706572</comments>
            <pubDate>Sat, 09 Apr 2011 05:54:05 +0100</pubDate>
            <guid isPermaLink="false">4706572</guid>        </item>
        <item>
            <title>Transforming Health Care Service Delivery and Provider Selection</title>
            <link>http://www.medworm.com/index.php?rid=4689329&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fy15v8q028568t35n%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Commoditization pressures in medicine have risked transforming service provider selection from “survival of the fittest” to
 “survival of the cheapest.” Quality- and safety-oriented mandates by the Institute of Medicine have led to the creation of
 a number of data-driven quality-centric initiatives including Pay for Performance and Evidence-Based Medicine. A synergistic
 approach to creating quantitative accountability in medical service delivery is through the creation of consumer-oriented
 performance metrics which provide patients with objective data related to individual service provider quality, safety, cost-efficacy,
 efficiency, and customer service. These performance metrics could in turn be customized to the individual preferences and
 health care need...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4689329</comments>
            <pubDate>Wed, 06 Apr 2011 06:46:15 +0100</pubDate>
            <guid isPermaLink="false">4689329</guid>        </item>
        <item>
            <title>Fractal Analysis of Periapical Bone from Lossy Compressed Radiographs: A Comparison of Two Lossy Compression Methods</title>
            <link>http://www.medworm.com/index.php?rid=4689330&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F4807855676616511%2F</link>
            <description>In conclusion, lossy compressed images with
 appropriate compression level may be used for FD calculation.
 
 
	Content Type Journal ArticlePages 1-6DOI 10.1007/s10278-011-9383-0Authors
		B. Güniz Baksi, School of Dentistry, Department of Oral Diagnosis and Radiology, Ege University, Izmir, TurkeyAleš Fidler, Department of Restorative Dentistry and Endodontics, Faculty of Medicine, University of Ljubljana, Hrvatski trg 6, 1000 Ljubljana, Slovenia
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4689330</comments>
            <pubDate>Tue, 05 Apr 2011 10:01:13 +0100</pubDate>
            <guid isPermaLink="false">4689330</guid>        </item>
        <item>
            <title>Assessing Task–Technology Fit in a PACS Upgrade: Do Users’ and Developers’ Appraisals Converge?</title>
            <link>http://www.medworm.com/index.php?rid=4689331&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ftq55811664675501%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study was to measure users’ perceived benefits of a picture archiving and communication system (PACS)
 upgrade, and compare their responses to those predicted by developers. The Task–Technology Fit (TTF) model served as the theoretical
 framework to study the relation between TTF, utilization, and perceived benefits. A self-administered survey was distributed
 to radiologists working in a university hospital undergoing a PACS upgrade. Four variables were measured: impact, utilization,
 TTF, and perceived net benefits. The radiologists were divided into subgroups according to their utilization profiles. Analysis
 of variance was performed and the hypotheses were tested with regression analysis. Interviews were conducted with developers
 involved i...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4689331</comments>
            <pubDate>Tue, 05 Apr 2011 10:01:12 +0100</pubDate>
            <guid isPermaLink="false">4689331</guid>        </item>
        <item>
            <title>DRR and Portal Image Registration for Automatic Patient Positioning in Radiotherapy Treatment</title>
            <link>http://www.medworm.com/index.php?rid=4679001&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff21564lpp38g4176%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Image processing turns out to be essential in the planning and verification of radiotherapy treatments. Before applying a
 radiotherapy treatment, a dosimetry planning must be performed. Usually, the planning is done by means of an X-ray volumetric
 analysis using computerized tomography, where the area to be radiated is marked out. During the treatment phase, it is necessary
 to place the patient under the particle accelerator exactly as considered in the dosimetry stage. Coarse alignment is achieved
 using fiduciary markers placed over the patient’s skin as external references. Later, fine alignment is provided by comparing
 a digitally reconstructed radiography (DRR) from the planning stage and a portal image captured by the accelerator in the
 treatment stage. The...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4679001</comments>
            <pubDate>Fri, 01 Apr 2011 05:47:52 +0100</pubDate>
            <guid isPermaLink="false">4679001</guid>        </item>
        <item>
            <title>Exploring CBCT-Based DICOM Files. A Systematic Review on the Properties of Images Used to Evaluate Maxillofacial Bone Grafts</title>
            <link>http://www.medworm.com/index.php?rid=4667042&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh060t63341368006%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Previous studies suggests that cone beam computerized tomography (CBCT) images could provide reliable information regarding
 the fate of bone grafts in the maxillofacial region, but no systematic information regarding the standardization of CBCT settings
 and properties is available, i.e., there is a lack of information on how the images were generated, exported, and analyzed
 when bone grafts were evaluated. The aim of this study was to (1) do a systematic review on which type of CBCT-based DICOM
 images have been used for the evaluation of the fate of bone grafts in humans and (2) use a software suggested in the literature
 to test DICOM-based data sets, exemplifying the effect of variation in selected parameters (windowing/contrast control, plane
 definition, slice t...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4667042</comments>
            <pubDate>Wed, 30 Mar 2011 05:57:17 +0100</pubDate>
            <guid isPermaLink="false">4667042</guid>        </item>
        <item>
            <title>CAUDLES-EF: Carotid Automated Ultrasound Double Line Extraction System Using Edge Flow</title>
            <link>http://www.medworm.com/index.php?rid=4628745&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F6541g7569mu42840%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The evaluation of the carotid artery wall is essential for the diagnosis of cardiovascular pathologies or for the assessment
 of a patient’s cardiovascular risk. This paper presents a completely user-independent algorithm, which automatically extracts
 the far double line (lumen–intima and media–adventitia) in the carotid artery using an Edge Flow technique based on directional
 probability maps using the attributes of intensity and texture. Specifically, the algorithm traces the boundaries between
 the lumen and intima layer (line one) and between the media and adventitia layer (line two). The Carotid Automated Ultrasound
 Double Line Extraction System based on Edge-Flow (CAUDLES-EF) is characterized and validated by comparing the output of the
 algorithm with th...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4628745</comments>
            <pubDate>Tue, 22 Mar 2011 06:00:58 +0100</pubDate>
            <guid isPermaLink="false">4628745</guid>        </item>
        <item>
            <title>Use of a Rich Internet Application Solution to Present Medical Images</title>
            <link>http://www.medworm.com/index.php?rid=4618694&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm00586441475r2lt%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Browser with Rich Internet Application (RIA) Web pages could be a powerful user interface for handling sophisticated data
 and applications. Then the RIA solutions would be a potential method for viewing and manipulating the most data generated
 in clinical processes, which can accomplish the main functionalities as general picture archiving and communication system
 (PACS) viewing systems. The aim of this study is to apply the RIA technology to present medical images. Both Digital Imaging
 and Communications in Medicine (DICOM) and non-DICOM data can be handled by our RIA solutions. Some clinical data that are
 especially difficult to present using PACS viewing systems, such as ECG waveform, pathology virtual slide microscopic image,
 and radiotherapy plan, are as well...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4618694</comments>
            <pubDate>Sat, 19 Mar 2011 06:36:42 +0100</pubDate>
            <guid isPermaLink="false">4618694</guid>        </item>
        <item>
            <title>Automated Tracing of the Adventitial Contour of Aortoiliac and Peripheral Arterial Walls in CT Angiography (CTA) to Allow Calculation of Non-calcified Plaque Burden</title>
            <link>http://www.medworm.com/index.php?rid=4576273&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh14038417730318r%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Aortoiliac and lower extremity arterial atherosclerotic plaque burden is a risk factor for the development of visceral and
 peripheral ischemic and aneurismal vascular disease. While prior research allows automated quantification of calcified plaque
 in these body regions using CT angiograms, no automated method exists to quantify soft plaque. We developed an automatic algorithm
 that defines the outer wall contour and wall thickness of vessels to quantify non-calcified plaque in CT angiograms of the
 chest, abdomen, pelvis, and lower extremities. The algorithm encodes the search space as a constrained graph and calculates
 the outer wall contour by deriving a minimum cost path through the graph, following the visible outer wall contour while minimizing
 path tortuosity...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4576273</comments>
            <pubDate>Thu, 10 Mar 2011 06:55:26 +0100</pubDate>
            <guid isPermaLink="false">4576273</guid>        </item>
        <item>
            <title>Should Post-Processing Be Performed by the Radiologist?</title>
            <link>http://www.medworm.com/index.php?rid=4563055&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F652q6n450x26186r%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Post-processing of volumetric data sets lands in a fuzzy boundary between the technologist and the radiologist. Is this the
 role of the technologist as part of image preparation? Or is it the beginning of the diagnostic process by the radiologist?
 Technology advances in real-time server side rendering platforms is challenging the traditional role of expensive dedicated
 advanced visualizations workstations with dedicated personnel. Will this also challenge the role of a dedicated 3D post-processing
 technologist?
 
 
	Content Type Journal ArticlePages 1-4DOI 10.1007/s10278-011-9370-5Authors
		Reuben Mezrich, University of Maryland School of Medicine, Baltimore, MD USAKrishna Juluru, Weill Cornell Medical College, New York, NY USAPaul Nagy, University of Maryland Schoo...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4563055</comments>
            <pubDate>Sat, 05 Mar 2011 07:03:24 +0100</pubDate>
            <guid isPermaLink="false">4563055</guid>        </item>
        <item>
            <title>A Situational Alignment Framework for PACS</title>
            <link>http://www.medworm.com/index.php?rid=4563056&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F056312kv86582t49%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper reports the outcomes of a study on an integrated situational alignment framework for picture archiving and communication
 systems (PACS) labeled as PISA. Following the design research cycle, complementary validation methods and pilot cases were
 used to assess the proposed framework and its operationalized survey. In this paper, the authors outline (a) the process of
 the framework’ development, (b) the validation process with its underlying iterative steps, (c) the outcomes of pilot cases,
 and (d) improvement opportunities to refine and further validate the PISA framework. Results of this study support empirical
 application of the framework to hospital enterprises in order to gain insights into their PACS maturity and alignment. We
 argue that the framew...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4563056</comments>
            <pubDate>Fri, 04 Mar 2011 16:47:53 +0100</pubDate>
            <guid isPermaLink="false">4563056</guid>        </item>
        <item>
            <title>Multiresolution Reconstruction for Cone-Beam Tomography from Raw Data Projections Using 3D Ridgelets</title>
            <link>http://www.medworm.com/index.php?rid=4546775&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fu079142q3g256645%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper presents a novel method which reconstructs any desired 3D image resolution from raw cone-beam CT data. X-ray attenuation
 through the object is approximated using ridgelet basis functions which allow us to have multiresolution representation levels.
 Since the Radon data have preferential orientations by nature, a spherical wavelet transform is used to compute the ridgelet
 coefficients from the Radon shell data. The whole method uses the classical Grangeat’s relation for computing derivatives
 of the Radon data which are then integrated and projected to a spherical wavelet representation and back-reconstructed using
 a modified version of the well known back-projection algorithm. Unlike previous reconstruction methods, this proposal uses
 a multiscale repr...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4546775</comments>
            <pubDate>Tue, 01 Mar 2011 07:08:31 +0100</pubDate>
            <guid isPermaLink="false">4546775</guid>        </item>
        <item>
            <title>Online Social Networking: A Primer for Radiology</title>
            <link>http://www.medworm.com/index.php?rid=4546774&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F477641862r256131%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Online social networking is an immature, but rapidly evolving industry of web-based technologies that allow individuals to
 develop online relationships. News stories populate the headlines about various websites which can facilitate patient and
 doctor interaction. There remain questions about protecting patient confidentiality and defining etiquette in order to preserve
 the doctor/patient relationship and protect physicians. How much social networking-based communication or other forms of E-communication
 is effective? What are the potential benefits and pitfalls of this form of communication? Physicians are exploring how social
 networking might provide a forum for interacting with their patients, and advance collaborative patient care. Several organizations
 and in...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4546774</comments>
            <pubDate>Tue, 01 Mar 2011 07:08:31 +0100</pubDate>
            <guid isPermaLink="false">4546774</guid>        </item>
        <item>
            <title>Bone Age Assessment in Young Children Using Automatic Carpal Bone Feature Extraction and Support Vector Regression</title>
            <link>http://www.medworm.com/index.php?rid=4537951&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg421110r87w45775%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Boundary extraction of carpal bone images is a critical operation of the automatic bone age assessment system, since the contrast
 between the bony structure and soft tissue are very poor. In this paper, we present an edge following technique for boundary
 extraction in carpal bone images and apply it to assess bone age in young children. Our proposed technique can detect the
 boundaries of carpal bones in X-ray images by using the information from the vector image model and the edge map. Feature
 analysis of the carpal bones can reveal the important information for bone age assessment. Five features for bone age assessment
 are calculated from the boundary extraction result of each carpal bone. All features are taken as input into the support vector
 regression (SVR) t...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4537951</comments>
            <pubDate>Thu, 24 Feb 2011 08:03:02 +0100</pubDate>
            <guid isPermaLink="false">4537951</guid>        </item>
        <item>
            <title>Marker-Controlled Watershed for Lesion Segmentation in Mammograms</title>
            <link>http://www.medworm.com/index.php?rid=4499219&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp661155m42544042%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Lesion segmentation, which is a critical step in computer-aided diagnosis system, is a challenging task as lesion boundaries
 are usually obscured, irregular, and low contrast. In this paper, an accurate and robust algorithm for the automatic segmentation
 of breast lesions in mammograms is proposed. The traditional watershed transformation is applied to the smoothed (by the morphological
 reconstruction) morphological gradient image to obtain the lesion boundary in the belt between the internal and external markers.
 To automatically determine the internal and external markers, the rough region of the lesion is identified by a template matching
 and a thresholding method. Then, the internal marker is determined by performing a distance transform and the external marker...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4499219</comments>
            <pubDate>Thu, 17 Feb 2011 08:02:19 +0100</pubDate>
            <guid isPermaLink="false">4499219</guid>        </item>
        <item>
            <title>Regional Context-Sensitive Support Vector Machine Classifier to Improve Automated Identification of Regional Patterns of Diffuse Interstitial Lung Disease</title>
            <link>http://www.medworm.com/index.php?rid=4486199&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq742j5v432536045%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;We propose the use of a context-sensitive support vector machine (csSVM) to enhance the performance of a conventional support
 vector machine (SVM) for identifying diffuse interstitial lung disease (DILD) in high-resolution computerized tomography (HRCT)
 images. Nine hundred rectangular regions of interest (ROIs), each 20 × 20 pixels in size and consisting of 150 ROIs representing
 six regional disease patterns (normal, ground-glass opacity, reticular opacity, honeycombing, emphysema, and consolidation),
 were marked by two experienced radiologists using consensus HRCT images of various DILD. Twenty-one textual and shape features
 were evaluated to characterize the ROIs. The csSVM classified an ROI by simultaneously using the decision value of each class
 and info...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4486199</comments>
            <pubDate>Fri, 11 Feb 2011 06:45:13 +0100</pubDate>
            <guid isPermaLink="false">4486199</guid>        </item>
        <item>
            <title>Five Levels of PACS Modularity: Integrating 3D and Other Advanced Visualization Tools</title>
            <link>http://www.medworm.com/index.php?rid=4457132&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm0u67t0h67835k22%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The current array of PACS products and 3D visualization tools presents a wide range of options for applying advanced visualization
 methods in clinical radiology. The emergence of server-based rendering techniques creates new opportunities for raising the
 level of clinical image review. However, best-of-breed implementations of core PACS technology, volumetric image navigation,
 and application-specific 3D packages will, in general, be supplied by different vendors. Integration issues should be carefully
 considered before deploying such systems. This work presents a classification scheme describing five tiers of PACS modularity
 and integration with advanced visualization tools, with the goals of characterizing current options for such integration,
 providing an appro...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4457132</comments>
            <pubDate>Tue, 08 Feb 2011 13:14:06 +0100</pubDate>
            <guid isPermaLink="false">4457132</guid>        </item>
        <item>
            <title>Experience with Importation of Electronic Images into the Medical Record from Physical Media</title>
            <link>http://www.medworm.com/index.php?rid=4440150&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe343733r08667151%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this article is to describe a system we developed for importing images on compact discs (CDs) from external
 imaging departments into our clinical image viewing system, and to report on key metrics regarding veracity of information
 seen on the CDs. We recommend careful attention to the process of CD importation because of the error rate we have seen. We
 developed a system and process for importing images on CD into our EMR. The importation system scans the CD for digital imaging
 and communications in medicine (DICOM) images, and collects all patient information seen. That information is presented to
 the patient for verification. Once validated, the image data is copied into our clinical viewing system. The importation system
 includes facilities for c...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4440150</comments>
            <pubDate>Tue, 01 Feb 2011 09:28:48 +0100</pubDate>
            <guid isPermaLink="false">4440150</guid>        </item>
        <item>
            <title>Improving Healthcare Delivery Through Patient Informatics and Quality Centric Data</title>
            <link>http://www.medworm.com/index.php?rid=4426344&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe13r6353k5r23505%2F</link>
            <description>Content Type Journal ArticlePages 1-2DOI 10.1007/s10278-011-9363-4Authors
		Bruce I. Reiner, Department of Radiology, Veterans Affairs Maryland Healthcare System, 10 North Greene Street, Baltimore, MD 21201, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4426344</comments>
            <pubDate>Fri, 28 Jan 2011 06:54:00 +0100</pubDate>
            <guid isPermaLink="false">4426344</guid>        </item>
        <item>
            <title>NIRViz: 3D Visualization Software for Multimodality Optical Imaging Using Visualization Toolkit (VTK) and Insight Segmentation Toolkit (ITK)</title>
            <link>http://www.medworm.com/index.php?rid=4426343&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff04p826526m66337%2F</link>
            <description>We present the design decisions undertaken during the design of the software,
 the libraries used in the implementation, and other implementation details as well as preliminary results from the software
 package. Our implementation uses the Visualization Toolkit library to do most of the work, with a Qt graphical user interface
 for the front end. Challenges encountered include reslicing DICOM image data and coregistration of image space and mesh space.
 The resulting software provides a simple and customized platform to display surface and volume meshes with optical parameters
 such as hemoglobin concentration, overlay them on magnetic resonance images, allow the user to interactively change transparency
 of different image sets, rotate geometries, clip through the resulting datasets, obt...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4426343</comments>
            <pubDate>Fri, 28 Jan 2011 06:54:00 +0100</pubDate>
            <guid isPermaLink="false">4426343</guid>        </item>
        <item>
            <title>Fully Automatic Region of Interest Selection in Glomerular Filtration Rate Estimation from 99mTc-DTPA Renogram</title>
            <link>http://www.medworm.com/index.php?rid=4426345&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw2uj55tk52k25521%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Glomerular filtration rate (GFR) is a common accepted standard estimation of renal function. Gamma camera-based methods for
 estimating renal uptake of 99mTc-diethylenetriaminepentaacetic acid (DTPA) without blood or urine sampling have been widely used. Of these, the method introduced
 by Gates has been the most common method. Currently, most of gamma cameras are equipped with a commercial program for GFR
 determination, a semi-quantitative analysis by manually drawing region of interest (ROI) over each kidney. Then, the GFR value
 can be computed from the scintigraphic determination of 99mTc-DTPA uptake within the kidney automatically. Delineating the kidney area is difficult when applying a fixed threshold value.
 Moreover, hand-drawn ROIs are tedious, time consuming...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4426345</comments>
            <pubDate>Fri, 28 Jan 2011 06:53:59 +0100</pubDate>
            <guid isPermaLink="false">4426345</guid>        </item>
        <item>
            <title>Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call</title>
            <link>http://www.medworm.com/index.php?rid=4402533&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fe0368mm43877wx51%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the
 impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools
 to facilitate the identification and monitoring of resident and fellow discrepancies in on-call preliminary reports. Over
 a 6-month period, 19,200 on-call studies were interpreted by 20 radiology residents, and 13,953 on-call studies were interpreted
 by 25 board-certified radiology fellows representing eight subspecialties. Using standard review macros during faculty interpretation,
 each of these reports was classified as “agreement”, “minor discrepancy”, and “major discrepancy” based on the potential to
 imp...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4402533</comments>
            <pubDate>Thu, 20 Jan 2011 07:08:18 +0100</pubDate>
            <guid isPermaLink="false">4402533</guid>        </item>
        <item>
            <title>Erratum to: An Online Evidence-Based Decision Support System for Distinguishing Benign from Malignant Vertebral Compression Fractures by Magnetic Resonance Imaging Feature Analysis</title>
            <link>http://www.medworm.com/index.php?rid=4402534&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fwq72741v340650h8%2F</link>
            <description>Content Type Journal ArticlePages 1-1DOI 10.1007/s10278-011-9359-0Authors
		Kenneth C. Wang, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 601 North Caroline Street, Room 5165, Baltimore, MD 21287, USAAnthony Jeanmenne, Department of Radiology, Southern Illinois University School of Medicine, Springfield, IL USAGriffin M. Weber, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA USAShrey K. Thawait, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 601 North Caroline Street, Room 5165, Baltimore, MD 21287, USAJohn A. Carrino, Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Hospital, 601 North Caroline Street, Room 5165, Ba...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4402534</comments>
            <pubDate>Wed, 19 Jan 2011 09:30:47 +0100</pubDate>
            <guid isPermaLink="false">4402534</guid>        </item>
        <item>
            <title>Virtual Machine Performance Benchmarking</title>
            <link>http://www.medworm.com/index.php?rid=4320121&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb201v3753043g068%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The attractions of virtual computing are many: reduced costs, reduced resources and simplified maintenance. Any one of these
 would be compelling for a medical imaging professional attempting to support a complex practice on limited resources in an
 era of ever tightened reimbursement. In particular, the ability to run multiple operating systems optimized for different
 tasks (computational image processing on Linux versus office tasks on Microsoft operating systems) on a single physical machine
 is compelling. However, there are also potential drawbacks. High performance requirements need to be carefully considered
 if they are to be executed in an environment where the running software has to execute through multiple layers of device drivers
 before reaching the real ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4320121</comments>
            <pubDate>Wed, 05 Jan 2011 06:45:24 +0100</pubDate>
            <guid isPermaLink="false">4320121</guid>        </item>
        <item>
            <title>Medical Decision-Making System of Ultrasound Carotid Artery Intima–Media Thickness Using Neural Networks</title>
            <link>http://www.medworm.com/index.php?rid=4288099&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fr821026w9865065v%2F</link>
            <description>The objective of this work is to develop and implement a medical decision-making system for an automated diagnosis and classification
 of ultrasound carotid artery images. The proposed method categorizes the subjects into normal, cerebrovascular, and cardiovascular
 diseases. Two contours are extracted for each and every preprocessed ultrasound carotid artery image. Two types of contour
 extraction techniques and multilayer back propagation network (MBPN) system have been developed for classifying carotid artery
 categories. The results obtained show that MBPN system provides higher classification efficiency, with minimum training and
 testing time. The outputs of decision support system are validated with medical expert to measure the actual efficiency. MBPN
 system with contour extractio...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4288099</comments>
            <pubDate>Thu, 23 Dec 2010 06:52:48 +0100</pubDate>
            <guid isPermaLink="false">4288099</guid>        </item>
        <item>
            <title>Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra</title>
            <link>http://www.medworm.com/index.php?rid=4269639&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fkk2234020r786796%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;It is difficult for radiologists to classify pneumoconiosis with small nodules on chest radiographs. Therefore, we have developed
 a computer-aided diagnosis (CAD) system based on the rule-based plus artificial neural network (ANN) method for distinction
 between normal and abnormal regions of interest (ROIs) selected from chest radiographs with and without pneumoconiosis. The
 image database consists of 11 normal and 12 abnormal chest radiographs. These abnormal cases included five silicoses, four
 asbestoses, and three other pneumoconioses. ROIs (matrix size, 32 × 32) were selected from normal and abnormal lungs. We obtained
 power spectra (PS) by Fourier transform for the frequency analysis. A rule-based method using PS values at 0.179 and 0.357
 cycles per mill...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4269639</comments>
            <pubDate>Tue, 14 Dec 2010 06:40:07 +0100</pubDate>
            <guid isPermaLink="false">4269639</guid>        </item>
        <item>
            <title>A Web-Based Flexible Communication System in Radiology</title>
            <link>http://www.medworm.com/index.php?rid=4250410&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ferj80832827w4038%2F</link>
            <description>We report a successful radiology communication system based on the principles of flexibility
 and inclusiveness of users inside and outside the radiology department.
 
 
	Content Type Journal ArticlePages 1-7DOI 10.1007/s10278-010-9351-0Authors
		Alexander Valentine Rybkin, Department of Radiology and Biomedical Imaging, San Francisco General Hospital, University of California, San Francisco, 1001 Potrero Ave Rm 1x57, San Francisco, CA 94110, USAMark Wilson, Department of Radiology and Biomedical Imaging, San Francisco General Hospital, University of California, San Francisco, 1001 Potrero Ave Rm 1x57, San Francisco, CA 94110, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4250410</comments>
            <pubDate>Thu, 09 Dec 2010 07:50:20 +0100</pubDate>
            <guid isPermaLink="false">4250410</guid>        </item>
        <item>
            <title>Occlusal Caries Depth Measurements Obtained by Five Different Imaging Modalities</title>
            <link>http://www.medworm.com/index.php?rid=4227559&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fv6633832812t9jw6%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The study aimed to assess the accuracy and reproducibility of occlusal caries depth measurements obtained from different imaging
 modalities. The study comprised 21 human mandibular molar teeth with occlusal caries. Teeth were imaged using film, CCD, two
 different cone-beam computerized tomography (CBCT) units and a microcomputer tomography (micro-CT). Thereafter, each tooth
 was serially sectioned, and the section with the deepest carious lesion was scanned using a high-resolution scanner. Each
 image set was separately viewed by three oral radiologists. Images were viewed randomly, and each set was viewed twice. Lesion
 depth was measured on film images using a digital caliper, on CCD and CBCT images using built-in measurement tools, on micro-CT
 images using the Mim...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4227559</comments>
            <pubDate>Tue, 30 Nov 2010 07:01:46 +0100</pubDate>
            <guid isPermaLink="false">4227559</guid>        </item>
        <item>
            <title>A Novel Medical Image Quality Index</title>
            <link>http://www.medworm.com/index.php?rid=4194432&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fjl08606t558l2725%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;A novel medical image quality index using grey relational coefficient calculation is proposed in this study. Three medical
 modalities, DR, CT and MRI, using 30 or 60 images with a total of 120 images used for experimentation. These images were first
 compressed at ten different compression ratios (10 ∼ 100) using a medical image compression algorithm named JJ2000. Following
 that, the quality of the reconstructed images was evaluated using the grey relational coefficient calculation. The results
 were shown consistent with popular objective quality metrics. The impact of different image aspects on four grey relational
 coefficient methods were further tested. The results showed that these grey relational coefficients have different slopes
 but very high consisten...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4194432</comments>
            <pubDate>Sat, 20 Nov 2010 06:56:20 +0100</pubDate>
            <guid isPermaLink="false">4194432</guid>        </item>
        <item>
            <title>Letter to the Editor Concerning “An Automated Blood Vessel Segmentation Algorithm Using Histogram Equalization and Automatic Threshold Selection”</title>
            <link>http://www.medworm.com/index.php?rid=4187874&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fjjw70n2t2806n212%2F</link>
            <description>Content Type Journal ArticleDOI 10.1007/s10278-010-9354-xAuthors
		Karl Daggfeldt, Biomechanics and Motor Control Laboratory, Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4187874</comments>
            <pubDate>Thu, 18 Nov 2010 17:53:55 +0100</pubDate>
            <guid isPermaLink="false">4187874</guid>        </item>
        <item>
            <title>Rigid Registration of Medical Images Using 1D and 2D Binary Projections</title>
            <link>http://www.medworm.com/index.php?rid=4187875&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fu35wt7n26k226135%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Image registration is a necessary procedure in everyday clinical practice. Several techniques for rigid and non-rigid registration
 have been developed and tested and the state-of-the-art is evolving from the research setting to incorporate image registration
 techniques into clinically useful tools. In this paper, we develop a novel rigid medical image registration technique which
 incorporates binary projections. This technique is tested and compared to the standard mutual information (MI) methods. Results
 show that the method is significantly more accurate and robust compared to MI methods. The accuracy is well below 0.5° and
 0.5&amp;nbsp;mm. This method introduces two more improvements over MI methods: (1)for 2D registration with the use of 1D binary projections,
 we...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4187875</comments>
            <pubDate>Thu, 18 Nov 2010 07:56:35 +0100</pubDate>
            <guid isPermaLink="false">4187875</guid>        </item>
        <item>
            <title>Imaging Facilities for Basic Medical Units: A Case in the State of Guerrero, Mexico</title>
            <link>http://www.medworm.com/index.php?rid=4137207&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg301408320uj5854%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This work presents the methodology to design a small imaging unit in a small regional hospital that takes into account the
 real imaging needs in the region regardless of current administrative guidelines. The situation of the imaging facilities
 in Mexico’s states is studied and compared with other countries, and a project plan is designed for the specific state (Guerrero)
 where the clinic is to be located. The proposal includes the acquisition of a basic suite of modalities that include an ultrasound
 system, a mammography unit, and a conventional X-ray system in addition to a CT system that is not available anywhere within
 the state. The system should be primarily digital and should incorporate a simple picture archiving and communications system
 that can be the...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4137207</comments>
            <pubDate>Mon, 01 Nov 2010 17:58:00 +0100</pubDate>
            <guid isPermaLink="false">4137207</guid>        </item>
        <item>
            <title>Development of a Research Dedicated Archival System (TARAS) in a University Hospital</title>
            <link>http://www.medworm.com/index.php?rid=4137206&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fq1ph473337656352%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Recent healthcare policies have influenced the manner in which patient data is handled in research projects, and the regulations
 concerning protected health information have become significantly tighter. Thus, new procedures are needed to facilitate research
 while protecting the confidentiality of patient data and ensuring the integrity of clinical work in the expanding environment
 of electronic files and databases. We have addressed this problem in a university hospital setting by developing the Tampere
 Research Archival System (TARAS), an extensive data warehouse for research purposes. This dynamic system includes numerous
 integrated and pseudonymized imaging studies and clinical data. In a pilot study on asthma patients, we tested and improved
 the functionality...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4137206</comments>
            <pubDate>Mon, 01 Nov 2010 17:58:00 +0100</pubDate>
            <guid isPermaLink="false">4137206</guid>        </item>
        <item>
            <title>Dicoogle - an Open Source Peer-to-Peer PACS</title>
            <link>http://www.medworm.com/index.php?rid=4129651&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Ff741vgp4p7466477%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Picture Archiving and Communication Systems (PACS) have been widely deployed in healthcare institutions, and they now constitute
 a normal commodity for practitioners. However, its installation, maintenance, and utilization are still a burden due to their
 heavy structures, typically supported by centralized computational solutions. In this paper, we present Dicoogle, a PACS archive
 supported by a document-based indexing system and by peer-to-peer (P2P) protocols. Replacing the traditional database storage
 (RDBMS) by a documental organization permits gathering and indexing data from file-based repositories, which allows searching
 the archive through free text queries. As a direct result of this strategy, more information can be extracted from medical
 imaging reposit...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4129651</comments>
            <pubDate>Thu, 28 Oct 2010 07:45:48 +0100</pubDate>
            <guid isPermaLink="false">4129651</guid>        </item>
        <item>
            <title>Aging and Quality Control of Color LCDs for Radiologic Imaging</title>
            <link>http://www.medworm.com/index.php?rid=4113654&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F34151734l6101814%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Our practice has long been concerned with the effects of display quality, including color accuracy and matching among paired
 color displays. Three years of data have been collected on the historical behavior of color stability on our clinical displays.
 This has permitted an analysis of the color-aging behavior of those displays over that time. The results of that analysis
 show that all displays tend to yellow over time, but that they do so together. That is, neither the intra- nor inter-display
 color variances observed at initial deployment diverge over time as measured by a mean radial distance metric in color space
 (Commission Internationale d’Eclairage L’, u’, v’ 1976). The consequence of this result is that color displays that are matched
 at deployment...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113654</comments>
            <pubDate>Wed, 27 Oct 2010 05:49:12 +0100</pubDate>
            <guid isPermaLink="false">4113654</guid>        </item>
        <item>
            <title>Using Keynote to Present Radiology Images</title>
            <link>http://www.medworm.com/index.php?rid=4113653&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk50m90qh0767060r%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Numerous articles have offered instructions for working with advanced radiology images in Microsoft PowerPoint (Redmond, WA);
 however, no articles have detailed instructions to do the same on alternative presentation software. Apple Macintosh (Cupertino,
 CA) computers are gaining popularity with many radiologists, due in part to the availability of a powerful, free, open-source
 Digital Imaging and Communications in Medicine (DICOM) viewing and manipulating software OsiriX (http://www.osirix-viewer.com). Apple’s own presentation software, Keynote, is particularly effective in dealing with medical images and cine clips. This
 article demonstrates how to use Apple’s Keynote software to present radiology images and scrollable image stacks, without
 third-party add-on...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113653</comments>
            <pubDate>Wed, 27 Oct 2010 05:49:12 +0100</pubDate>
            <guid isPermaLink="false">4113653</guid>        </item>
        <item>
            <title>Human–Computer Interaction in Radiotherapy Target Volume Delineation: A Prospective, Multi-institutional Comparison of User Input Devices</title>
            <link>http://www.medworm.com/index.php?rid=4113655&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fa1515274t702629p%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study was the prospective comparison of objective and subjective effects of target volume region of interest
 (ROI) delineation using mouse–keyboard and pen–tablet user input devices (UIDs). The study was designed as a prospective test/retest
 sequence, with Wilcoxon signed rank test for matched-pair comparison. Twenty-one physician-observers contoured target volume
 ROIs on four standardized cases (representative of brain, prostate, lung, and head and neck malignancies) twice: once using
 QWERTY keyboard/scroll-wheel mouse UID and once with pen–tablet UID (DTX2100, Wacom Technology Corporation, Vancouver, WA,
 USA). Active task time, ROI manipulation task data, and subjective survey data were collected. One hundred twenty-nine target
 volume R...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113655</comments>
            <pubDate>Wed, 27 Oct 2010 05:49:09 +0100</pubDate>
            <guid isPermaLink="false">4113655</guid>        </item>
        <item>
            <title>Using JPEG 2000 Interactive Protocol to Stream a Large Image or a Large Image Set</title>
            <link>http://www.medworm.com/index.php?rid=4113656&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F237187070t5g3x55%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The electronic health record (EHR) is expected to improve the quality of care by enabling access to relevant information at
 the diagnostic decision moment. During deployment efforts for including images in the EHR, a main challenge has come up from
 the need to compare old images with current ones. When old images reside in a different system, they need to be imported for
 visualization which leads to a problem related to persistency management and information consistency. A solution consisting
 in avoiding image import is achievable with image streaming. In this paper we present, evaluate, and discuss two medical-specific
 streaming use cases: displaying a large image such as a digital mammography image and displaying a large set of relatively
 small images such as a ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113656</comments>
            <pubDate>Wed, 27 Oct 2010 05:49:08 +0100</pubDate>
            <guid isPermaLink="false">4113656</guid>        </item>
        <item>
            <title>Radiology IT: Applications Integration vs. Consolidation</title>
            <link>http://www.medworm.com/index.php?rid=4113657&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F30241v300262q3h5%2F</link>
            <description>We report here on the experience of the Radiology Information Technology (IT) implementation at the
 Memorial Sloan-Kettering Cancer Center (MSKCC) over the past 11&amp;nbsp;years; during this time, the weekly image accumulation rate
 increased from 100,000 to 2,000,000 images. During the implementation period, major difficulties were encountered, largely
 as a result of the inadequacies of the Radiology IT architecture widely used in the healthcare industry. The approach we chose
 to correct some of these difficulties has been consolidation of some of the multiple systems and applications. Three examples
 of systems consolidation are discussed: (1) converting a dual-tier image storage system to a single tier, (2) consolidation
 of Mammography reading into PACS, and (3) enabling 3D visualizati...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113657</comments>
            <pubDate>Tue, 26 Oct 2010 06:49:58 +0100</pubDate>
            <guid isPermaLink="false">4113657</guid>        </item>
        <item>
            <title>Creation and Storage of Standards-based Pre-scanning Patient Questionnaires in PACS as DICOM Objects</title>
            <link>http://www.medworm.com/index.php?rid=4113658&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F268t0082306g771g%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Radiology departments around the country have completed the first evolution to digital imaging by becoming filmless. The next
 step in this evolution is to become truly paperless. Both patient and non-patient paperwork has to be eliminated in order
 for this transition to occur. A paper-based set of patient pre-scanning questionnaires were replaced with web-based forms
 for use in an outpatient imaging center. We discuss this process by which questionnaire elements are converted into SNOMED-CT
 terminology concepts, stored for future use, and sent to PACS in Digital Imaging and Communications in Medicine (DICOM) format
 to be permanently stored with the relevant study in the DICOM image database.
 
 
	Content Type Journal ArticleDOI 10.1007/s10278-010-9348-8Authors
		Tr...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113658</comments>
            <pubDate>Tue, 26 Oct 2010 06:49:56 +0100</pubDate>
            <guid isPermaLink="false">4113658</guid>        </item>
        <item>
            <title>Non-Clinical Errors Using Voice Recognition Dictation Software for Radiology Reports: A Retrospective Audit</title>
            <link>http://www.medworm.com/index.php?rid=4113659&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F94gxn0q8765451h5%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study is to ascertain the error rates of using a voice recognition (VR) dictation system. We compared
 our results with several other articles and discussed the pros and cons of using such a system. The study was performed at
 the Southern Health Department of Diagnostic Imaging, Melbourne, Victoria using the GE RIS with Powerscribe 3.5 VR system.
 Fifty random finalized reports from 19 radiologists obtained between June 2008 and November 2008 were scrutinized for errors
 in six categories namely, wrong word substitution, deletion, punctuation, other, and nonsense phrase. Reports were also divided
 into two categories: computer radiography (CR = plain film) and non-CR (ultrasound, computed tomography, magnetic resonance
 imaging, nuclear medicine...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4113659</comments>
            <pubDate>Tue, 26 Oct 2010 06:49:55 +0100</pubDate>
            <guid isPermaLink="false">4113659</guid>        </item>
        <item>
            <title>Authentication and Self-Correction in Sequential MRI Slices</title>
            <link>http://www.medworm.com/index.php?rid=4070953&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F7701678w55852r36%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;One of the new challenges of Information Technology in the medical world is the protection and authentication of a variety
 of digital medical files, datasets, and images. In this work, the ability of magnetic resonance imaging (MRI) slice sequences
 to hide digital data is investigated and more specifically the case that the hidden data are the regions of interest (ROI)
 of the MRI slices. The regions of non-interest (RONI) are used as cover. The hiding capacity of the whole sequence is taken
 into account. Any ROI-targeted tampering attempt can be detected, and the original image can be self-restored (under certain
 conditions) by extracting the ROI from the RONI.
 
 
	Content Type Journal ArticleDOI 10.1007/s10278-010-9340-3Authors
		Vassilis Fotopoulos, Department o...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4070953</comments>
            <pubDate>Thu, 14 Oct 2010 06:12:46 +0100</pubDate>
            <guid isPermaLink="false">4070953</guid>        </item>
        <item>
            <title>Development of Subject-Specific Geometric Spine Model through Use of Automated Active Contour Segmentation and Kinematic Constraint-Limited Registration</title>
            <link>http://www.medworm.com/index.php?rid=4024677&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fy03516001483q650%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This paper describes the development of a patient-specific spine model through use of active contour segmentation and registration
 of intraoperative imaging of porcine vertebra augmented with kinematic constraints. The geometric active contours are fully
 automated and lead to a discrete representation of the image segmentation results. After determining errors within the segmentations,
 application of reliability theory allows the selection of active contour parameters to obtain best-fit segmentations from
 a stack of 2D images. The segmented images are then used in conjunction with C-arm fluoroscope images to simulate the result
 of intraoperative patient-specific model registration including patient and/or structure motion between preoperative and intraoperative
 sc...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=4024677</comments>
            <pubDate>Thu, 30 Sep 2010 08:18:48 +0100</pubDate>
            <guid isPermaLink="false">4024677</guid>        </item>
        <item>
            <title>Accuracy of CBCT Measurements of a Human Skull</title>
            <link>http://www.medworm.com/index.php?rid=3996520&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp3uh214ng4762477%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The purpose of this study is to assess the accuracy and reproducibility of cone-beam computed tomography (CBCT) measurements
 of a human dry skull by comparing them to direct digital caliper measurements. Heated gutta-percha was used to mark 13 specific
 distances on a human skull, and the distances were directly measured using a digital caliper and on CBCT images obtained with
 Iluma (3M Imtec, OK, USA) and 3D Accuitomo 170 (3D Accuitomo; J Morita Mfg. Corp., Kyoto, Japan) CBCT imaging systems. Iluma
 images were obtained at 120&amp;nbsp;kVp and 3.8&amp;nbsp;mA and reconstructed using voxel sizes of 0.2 and 0.3&amp;nbsp;mm3. Accuitomo images were obtained at 60&amp;nbsp;kVp and 2&amp;nbsp;mA and a voxel size of 0.250&amp;nbsp;mm3. In addition, 3-D reconstructions were produced from images obt...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3996520</comments>
            <pubDate>Tue, 21 Sep 2010 11:23:56 +0100</pubDate>
            <guid isPermaLink="false">3996520</guid>        </item>
        <item>
            <title>A Pilot Study on Using Eye Tracking to Understand Assessment of Surgical Outcomes from Clinical Photography</title>
            <link>http://www.medworm.com/index.php?rid=3990830&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fckt5207qw0u459n3%2F</link>
            <description>In this study, dwell
 time, transition frequency, dwell sequence conditional probabilities, and dwell sequence joint probabilities were analyzed
 across photographic poses and three observers. Dwell-time analysis showed that all three surgeons spent the majority of their
 time on the anterior–posterior (AP) views. Similarly, transition frequency analysis between regions showed that there were
 substantially more transitions between the breast regions in the AP view, relative to the number of transitions between other
 views. The results of both the conditional and joint probability analyses between the breast regions showed that the highest
 probabilities of transitions were observed between the breast regions in the AP view (APRB, APLB) followed by the oblique
 views and the lateral vie...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3990830</comments>
            <pubDate>Sat, 18 Sep 2010 05:50:20 +0100</pubDate>
            <guid isPermaLink="false">3990830</guid>        </item>
        <item>
            <title>Managing Biomedical Image Metadata for Search and Retrieval of Similar Images</title>
            <link>http://www.medworm.com/index.php?rid=3979097&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F602r1710286g2114%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Radiology images are generally disconnected from the metadata describing their contents, such as imaging observations (“semantic”
 metadata), which are usually described in text reports that are not directly linked to the images. We developed a system,
 the Biomedical Image Metadata Manager (BIMM) to (1) address the problem of managing biomedical image metadata and (2) facilitate
 the retrieval of similar images using semantic feature metadata. Our approach allows radiologists, researchers, and students
 to take advantage of the vast and growing repositories of medical image data by explicitly linking images to their associated
 metadata in a relational database that is globally accessible through a Web application. BIMM receives input in the form of
 standard-based...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3979097</comments>
            <pubDate>Wed, 15 Sep 2010 16:56:31 +0100</pubDate>
            <guid isPermaLink="false">3979097</guid>        </item>
        <item>
            <title>Automatic Extraction of Concepts to Extend RadLex</title>
            <link>http://www.medworm.com/index.php?rid=3979098&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fp889312g07534661%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;RadLex™, the Radiology Lexicon, is a controlled vocabulary of terms used in radiology. It was developed by the Radiological
 Society of North America in recognition of a lack of coverage of these radiology concepts by other lexicons. There are still
 additional concepts, particularly those related to imaging observations and imaging observation characteristics, that could
 be added to the lexicon. We used a free and open source software system to extract these terms from the medical literature.
 The system retrieved relevant articles from the PubMed repository and passed them through modules in the Apache Unstructured
 Information Management Architecture. Image observations and image observation characteristics were identified through a seven-step
 process. The system...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3979098</comments>
            <pubDate>Tue, 14 Sep 2010 05:58:42 +0100</pubDate>
            <guid isPermaLink="false">3979098</guid>        </item>
        <item>
            <title>Tracking PACS Usage with Open Source Tools</title>
            <link>http://www.medworm.com/index.php?rid=3963977&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F42886700450p2752%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;A typical choice faced by Picture Archiving and Communication System (PACS) administrators is deciding how many PACS workstations
 are needed and where they should be sited. Oftentimes, the social consequences of having too few are severe enough to encourage
 oversupply and underutilization. This is costly, at best in terms of hardware and electricity, and at worst (depending on
 the PACS licensing and support model) in capital costs and maintenance fees. The PACS administrator needs tools to asses accurately
 the use to which her fleet is being subjected, and thus make informed choices before buying more workstations. Lacking a vended
 solution for this challenge, we developed our own.
 
 
	Content Type Journal ArticleDOI 10.1007/s10278-010-9337-yAuthors
		Todd L. Fren...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3963977</comments>
            <pubDate>Fri, 10 Sep 2010 05:48:36 +0100</pubDate>
            <guid isPermaLink="false">3963977</guid>        </item>
        <item>
            <title>An Automated DICOM Database Capable of Arbitrary Data Mining (Including Radiation Dose Indicators) for Quality Monitoring</title>
            <link>http://www.medworm.com/index.php?rid=3949230&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw72074263r752124%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The U.S. National Press has brought to full public discussion concerns regarding the use of medical radiation, specifically
 x-ray computed tomography (CT), in diagnosis. A need exists for developing methods whereby assurance is given that all diagnostic
 medical radiation use is properly prescribed, and all patients’ radiation exposure is monitored. The “DICOM Index Tracker©”
 (DIT) transparently captures desired digital imaging and communications in medicine (DICOM) tags from CT, nuclear imaging
 equipment, and other DICOM devices across an enterprise. Its initial use is recording, monitoring, and providing automatic
 alerts to medical professionals of excursions beyond internally determined trigger action levels of radiation. A flexible
 knowledge base, aware ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3949230</comments>
            <pubDate>Wed, 08 Sep 2010 12:18:50 +0100</pubDate>
            <guid isPermaLink="false">3949230</guid>        </item>
        <item>
            <title>Empirical Investigation of Radiologists’ Priorities for PACS Selection: An Analytical Hierarchy Process Approach</title>
            <link>http://www.medworm.com/index.php?rid=3949231&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fm248j8657372q2v7%2F</link>
            <description>The objective of this study
 was to find radiologists’ perspective on the relative importance of the required features when selecting or developing a PACS.
 Important features for PACS were identified based on the literature and consultation/interviews with radiologists. These features
 were categorized and organized into a logical hierarchy consisting of the main dimensions and sub-dimensions. An online survey
 was conducted to obtain data from 58 radiologists about their relative preferences. Analytical hierarchy process methodology
 was used to determine the relative priority weights for different dimensions along with the consistency of responses. System
 continuity and functionality was found to be the most important dimension, followed by system performance and architecture,
 user ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3949231</comments>
            <pubDate>Wed, 08 Sep 2010 12:18:29 +0100</pubDate>
            <guid isPermaLink="false">3949231</guid>        </item>
        <item>
            <title>A Fast and Fully Automatic Method for Cerebrovascular Segmentation on Time-of-Flight (TOF) MRA Image</title>
            <link>http://www.medworm.com/index.php?rid=3949232&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F454246728321v332%2F</link>
            <description>We present a fast, fully automatic segmentation
 algorithm based on statistical model analysis and improved curve evolution for extracting the 3-D cerebral vessels from a
 time-of-flight (TOF) MRA dataset. Cerebral vessels and other tissue (brain tissue, CSF, and bone) in TOF MRA dataset are modeled
 by Gaussian distribution and combination of Rayleigh with several Gaussian distributions separately. The region distribution
 combined with gradient information is used in edge-strength of curve evolution as one novel mode. This edge-strength function
 is able to determine the boundary of thin vessels with low contrast around brain tissue accurately and robustly. Moreover,
 a fast level set method is developed to implement the curve evolution to assure high efficiency of the cerebrovascular se...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3949232</comments>
            <pubDate>Wed, 08 Sep 2010 12:18:23 +0100</pubDate>
            <guid isPermaLink="false">3949232</guid>        </item>
        <item>
            <title>Is It Possible to Predict Heart Rate and Range during Enhanced Cardiac CT Scan from Previous Non-enhanced Cardiac CT?</title>
            <link>http://www.medworm.com/index.php?rid=3949233&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F412t5113086u2676%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The effect of heart rate and variation during cardiac computed tomography (CT) on the examination quality. The purpose of
 this study is to investigate whether it is possible to predict heart rate and range during enhanced cardiac computed CT scan
 from previous non-enhanced cardiac CT scan. Electrocardiograph (ECG) files from 112 patients on three types of cardiac 64-slice
 CT (non-enhanced, prospective ECG-triggered and retrospective ECG-gated enhanced scans) were recorded. The mean heart rate,
 range (defined as difference between maximal and minimal heart rates) and the range ratio (defined as maximal heart rate divided
 by minimal heart rate) during the scans were compared. Scan time was 4.8, 4.6, and 7.3&amp;nbsp;s on non-enhanced, prospective ECG-triggered
 and retro...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3949233</comments>
            <pubDate>Wed, 08 Sep 2010 12:18:22 +0100</pubDate>
            <guid isPermaLink="false">3949233</guid>        </item>
        <item>
            <title>A Mobile Tele-Radiology Imaging System with JPEG2000 for an Emergency Care</title>
            <link>http://www.medworm.com/index.php?rid=3949234&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F423451w1v42522l7%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The aim of this study was to design a tele-radiology imaging system for rapid emergency care via mobile networks and to assess
 the diagnostic feasibility of the Joint Photographic Experts Group 2000 (JPEG2000) radiological imaging using portable devices.
 Rapid patient information and image exchange is helpful to make clinical decisions. We assessed the usefulness of the mobile
 tele-radiology system by measuring both a quantitative method, PNSR calculation, for image qualities, and its transmission
 time via mobile networks in different mobile networks, respectively; code division multiple access evolution-data optimized,
 wireless broadband, and high-speed downlink packet access; and the feasibility of the JPEG2000 computed tomography (CT) images
 by qualitatively as...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3949234</comments>
            <pubDate>Wed, 08 Sep 2010 12:18:21 +0100</pubDate>
            <guid isPermaLink="false">3949234</guid>        </item>
        <item>
            <title>Tracking Delays in Report Availability Caused by Incorrect Exam Status with Web-Based Issue Tracking: A Quality Initiative</title>
            <link>http://www.medworm.com/index.php?rid=3912577&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F46x80311p5146j3l%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Many radiology information systems (RIS) cannot accept a final report from a dictation reporting system before the exam has
 been completed in the RIS by a technologist. A radiologist can still render a report in a reporting system once images are
 available, but the RIS and ancillary systems may not get the results because of the study’s uncompleted status. This delay
 in completing the study caused an alarming number of delayed reports and was undetected by conventional RIS reporting techniques.
 We developed a Web-based reporting tool to monitor uncompleted exams and automatically page section supervisors when a report
 was being delayed by its incomplete status in the RIS. Institutional Review Board exemption was obtained. At four imaging
 centers, a Python script...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3912577</comments>
            <pubDate>Fri, 27 Aug 2010 06:18:11 +0100</pubDate>
            <guid isPermaLink="false">3912577</guid>        </item>
        <item>
            <title>Will the Next Generation of PACS Be Sitting on a Cloud?</title>
            <link>http://www.medworm.com/index.php?rid=3905855&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F4v546655484422wg%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Cloud computing has gathered significant attention from information technology (IT) vendors in providing massively scalable
 applications as well as highly managed remote services. What is cloud computing and how will it impact the medical IT market?
 Will the next generation of picture archiving and communication systems be leveraging cloud technology?
 
 
	Content Type Journal ArticleDOI 10.1007/s10278-010-9331-4Authors
		James Philbin, Johns Hopkins Hospital, Baltimore, MD USAFred Prior, Mallinckrodt Institute of Radiology, St. Louis, MO USAPaul Nagy, University of Maryland School of Medicine, Baltimore, MD USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3905855</comments>
            <pubDate>Tue, 24 Aug 2010 06:01:29 +0100</pubDate>
            <guid isPermaLink="false">3905855</guid>        </item>
        <item>
            <title>Clinical Utility of Temporal Subtraction Images in Successive Whole-Body Bone Scans: Evaluation in a Prospective Clinical Study</title>
            <link>http://www.medworm.com/index.php?rid=3898002&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fn4m2n33m2368n022%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;In order to aid radiologists’ routine work for interpreting bone scan images, we developed a computerized method for temporal
 subtraction (TS) images which can highlight interval changes between successive whole-body bone scans, and we performed a
 prospective clinical study for evaluating the clinical utility of the TS images. We developed a TS image server which includes
 an automated image-retrieval system, an automated image-conversion system, an automated TS image-producing system, a computer
 interface for displaying and evaluating TS images with five subjective scales, and an automated data-archiving system. In
 this study, the radiologist could revise his/her report after reviewing the TS images if the findings on the TS image were
 confirmed retrospectively ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3898002</comments>
            <pubDate>Sat, 21 Aug 2010 05:46:50 +0100</pubDate>
            <guid isPermaLink="false">3898002</guid>        </item>
        <item>
            <title>A Method for Computing General Sacroiliac Screw Corridors Based on CT Scans of the Pelvis</title>
            <link>http://www.medworm.com/index.php?rid=3890014&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fl618081822t5gj72%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Sacroiliac (SI) joint dislocations and sacral fractures of the pelvis can be stabilized by SI screws; however, screw insertion
 into a sacral isthmus region is risky for the adjacent neurovascular structures. Therefore, shape analyses of general SI screw
 corridors or safety zones are of great surgical interest; however, before such analyses can be conducted, a method for computing
 3D models of general SI corridors from routine clinical computed tomography (CT) scans has to be developed. This work describes
 a method for determining general corridors in pelvic CT data for accurate screw placement into the first sacral body. The
 method is implemented with the computer language C++. The pelvic CT data are preprocessed before the presented algorithm computes
 a model of ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3890014</comments>
            <pubDate>Fri, 20 Aug 2010 05:47:27 +0100</pubDate>
            <guid isPermaLink="false">3890014</guid>        </item>
        <item>
            <title>Early Experience Using an Online Reporting System for Interventional Radiology Procedure-Related Complications Integrated with a Digital Dictation System</title>
            <link>http://www.medworm.com/index.php?rid=3883788&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fx7024t6378j61783%2F</link>
            <description>We describe the implementation of a QA application that is completely integrated
 with the radiology dictation system. We implemented an IR QA process as a module within the electronic medical record and
 radiologist dictation system applications used at our institution. After a radiologist completes a dictation, he or she must
 select from a drop-down list of complications before proceeding to the next case. Delayed QA events can be entered using the
 same applications. All complication entries are sent to a database, which is queried to run reports. During the study period,
 all the 20,034 interventional procedures were entered in the QA database, 1,144 complications were reported, 110 (9.6%) of
 which were classified as major. Although majority of the complications (996) were entered at...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3883788</comments>
            <pubDate>Wed, 18 Aug 2010 06:46:27 +0100</pubDate>
            <guid isPermaLink="false">3883788</guid>        </item>
        <item>
            <title>Erratum to: K-Bayes Reconstruction for Perfusion MRI II: Modeling and Technical Development</title>
            <link>http://www.medworm.com/index.php?rid=3879137&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fw675523x8238h125%2F</link>
            <description>Content Type Journal ArticleDOI 10.1007/s10278-010-9324-3Authors
		John Kornak, Department of Radiology and Biomedical Imaging, University of California, San Francisco, 185 Berry Street, Suite 350, San Francisco, CA 94107, USAKarl Young, Department of Radiology and Biomedical Imaging, University of California, San Francisco, Center for Imaging of Neurodegenerative Disease, 4150 Clement Street (114M), San Francisco, CA 94121, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3879137</comments>
            <pubDate>Tue, 17 Aug 2010 05:53:10 +0100</pubDate>
            <guid isPermaLink="false">3879137</guid>        </item>
        <item>
            <title>Volume Visualization: A Technical Overview with a Focus on Medical Applications</title>
            <link>http://www.medworm.com/index.php?rid=3879138&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fmt6x1k4130053552%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;With the increasing availability of high-resolution isotropic three- or four-dimensional medical datasets from sources such
 as magnetic resonance imaging, computed tomography, and ultrasound, volumetric image visualization techniques have increased
 in importance. Over the past two decades, a number of new algorithms and improvements have been developed for practical clinical
 image display. More recently, further efficiencies have been attained by designing and implementing volume-rendering algorithms
 on graphics processing units (GPUs). In this paper, we review volumetric image visualization pipelines, algorithms, and medical
 applications. We also illustrate our algorithm implementation and evaluation results, and address the advantages and drawbacks
 of each algor...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3879138</comments>
            <pubDate>Tue, 17 Aug 2010 05:53:09 +0100</pubDate>
            <guid isPermaLink="false">3879138</guid>        </item>
        <item>
            <title>Magnetic Resonance Imaging Research in Sub-Saharan Africa: Challenges and Satellite-Based Networking Implementation</title>
            <link>http://www.medworm.com/index.php?rid=3879139&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F54816m945078263v%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;As part of an NIH-funded study of malaria pathogenesis, a magnetic resonance (MR) imaging research facility was established
 in Blantyre, Malaŵi to enhance the clinical characterization of pediatric patients with cerebral malaria through application
 of neurological MR methods. The research program requires daily transmission of MR studies to Michigan State University (MSU)
 for clinical research interpretation and quantitative post-processing. An intercontinental satellite-based network was implemented
 for transmission of MR image data in Digital Imaging and Communications in Medicine (DICOM) format, research data collection,
 project communications, and remote systems administration. Satellite Internet service costs limited the bandwidth to symmetrical
 384 kbit/s. ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3879139</comments>
            <pubDate>Tue, 17 Aug 2010 05:53:07 +0100</pubDate>
            <guid isPermaLink="false">3879139</guid>        </item>
        <item>
            <title>Tools for Multi-Media Presentations and Publications</title>
            <link>http://www.medworm.com/index.php?rid=3866378&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F464j635562unl548%2F</link>
            <description>Content Type Journal ArticleDOI 10.1007/s10278-010-9325-2Authors
		Janice Honeyman-Buck, 508 Bramble Fern Ave, De Land, FL 32720, USA
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3866378</comments>
            <pubDate>Fri, 13 Aug 2010 07:05:50 +0100</pubDate>
            <guid isPermaLink="false">3866378</guid>        </item>
        <item>
            <title>Automatic Monitoring of Localized Skin Dose with Fluoroscopic and Interventional Procedures</title>
            <link>http://www.medworm.com/index.php?rid=3866379&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fu221373ujn61j425%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;This software tool locates and computes the intensity of radiation skin dose resulting from fluoroscopically guided interventional
 procedures. It is comprised of multiple modules. Using standardized body specific geometric values, a software module defines
 a set of male and female patients arbitarily positioned on a fluoroscopy table. Simulated X-ray angiographic (XA) equipment
 includes XRII and digital detectors with or without bi-plane configurations and left and right facing tables. Skin dose estimates
 are localized by computing the exposure to each 0.01 × 0.01&amp;nbsp;m2 on the surface of a patient irradiated by the X-ray beam. Digital Imaging and Communications in Medicine (DICOM) Structured
 Report Dose data sent to a modular dosimetry database automatically...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3866379</comments>
            <pubDate>Fri, 13 Aug 2010 07:05:49 +0100</pubDate>
            <guid isPermaLink="false">3866379</guid>        </item>
        <item>
            <title>Quantitative Evaluation of Patient Movement during Simulated Acquisition of Cephalometric Radiographs</title>
            <link>http://www.medworm.com/index.php?rid=3819394&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F1271l134pl373566%2F</link>
            <description>The objective of this study was to perform the quantitative three-dimensional analysis of the patients’ movements at the different
 time points during the simulated acquisition of cephalometric radiographs. Fifty-three subjects (32 men, 21 women) were divided
 into four groups according to their age (Group 1: 9–12, Group 2: 13–19, Group 3: 20–25, and Group 4: 26–30&amp;nbsp;years old). The
 experiment (Exp) consisted in providing the subjects with three different kinds of verbal instructions as follows; Exp 1:
 they were simply instructed not to move, Exp 2: detailed instructions were provided, and Exp 3: they were specifically instructed
 to clench their molars. The amount of their movement during the 20&amp;nbsp;s of the cephalomatric X-ray exposure was measured using
 an optical marke...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3819394</comments>
            <pubDate>Tue, 03 Aug 2010 14:52:25 +0100</pubDate>
            <guid isPermaLink="false">3819394</guid>        </item>
        <item>
            <title>An Online Evidence-Based Decision Support System for Distinguishing Benign from Malignant Vertebral Compression Fractures by Magnetic Resonance Imaging Feature Analysis</title>
            <link>http://www.medworm.com/index.php?rid=3819395&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fg87rl5974v872816%2F</link>
            <description>We describe a web-based decision support system for discriminating
 benign from malignant VCFs as a prototype for a more general diagnostic decision support framework for radiologists. The system
 has three components: a feature checklist with an image gallery derived from proven reference cases, a prediction model, and
 a reporting mechanism. The website allows users to input the findings for a case to be interpreted using a structured feature
 checklist. The image gallery complements the checklist, for clarity and training purposes. The input from the checklist is
 then used to calculate the likelihood of malignancy by a logistic regression prediction model. Standardized report text is
 generated that summarizes pertinent positive and negative findings. This computer-assisted diagnosis s...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3819395</comments>
            <pubDate>Tue, 03 Aug 2010 14:52:24 +0100</pubDate>
            <guid isPermaLink="false">3819395</guid>        </item>
        <item>
            <title>The Role of Key Image Notes in CT Imaging Study Interpretation</title>
            <link>http://www.medworm.com/index.php?rid=3806994&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F34t5520772662260%2F</link>
            <description>The objective of the study was to investigate the clinical effects of CT key image notes (KIN) in the interpretation of a
 CT image study. All experiments were approved by the ethics committee of the local district. Six experienced radiologists
 were equally divided into routine reporting (RR) group and KIN reporting (KIN) group. CT scans of each 100 consecutive cases
 before and after using KIN technique were randomly selected, and the reports were made by group RR and KIN, respectively.
 All the reports were again reviewed 3&amp;nbsp;months later by both groups. All the results with using or not using KIN were interpreted
 and reinterpreted after 3&amp;nbsp;months by six clinicians, who were experienced in picture archiving and communication system (PACS)
 applications and were equally divided i...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3806994</comments>
            <pubDate>Fri, 30 Jul 2010 16:59:33 +0100</pubDate>
            <guid isPermaLink="false">3806994</guid>        </item>
        <item>
            <title>An Image-Based Comprehensive Approach for Automatic Segmentation of Left Ventricle from Cardiac Short Axis Cine MR Images</title>
            <link>http://www.medworm.com/index.php?rid=3748730&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F3412030105v60573%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Segmentation of the left ventricle is important in the assessment of cardiac functional parameters. Manual segmentation of
 cardiac cine MR images for acquiring these parameters is time-consuming. Accuracy and automation are the two important criteria
 in improving cardiac image segmentation methods. In this paper, we present a comprehensive approach to segment the left ventricle
 from short axis cine cardiac MR images automatically. Our method incorporates a number of image processing and analysis techniques
 including thresholding, edge detection, mathematical morphology, and image filtering to build an efficient process flow. This
 process flow makes use of various features in cardiac MR images to achieve high accurate segmentation results. Our method
 was tested on ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3748730</comments>
            <pubDate>Sat, 10 Jul 2010 07:03:51 +0100</pubDate>
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        <item>
            <title>Multi-scale Regularization Approaches of Non-parametric Deformable Registrations</title>
            <link>http://www.medworm.com/index.php?rid=3708939&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F45521t6321780tl0%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Most deformation algorithms use a single-value smoother during optimization. We investigate multi-scale regularizations (smoothers)
 during the multi-resolution iteration of two non-parametric deformable registrations (demons and diffeomorphic algorithms)
 and compare them to a conventional single-value smoother. Our results show that as smoothers increase, their convergence rate
 decreases; however, smaller smoothers also have a large negative value of the Jacobian determinant suggesting that the one-to-one
 mapping has been lost; i.e., image morphology is not preserved. A better one-to-one mapping of the multi-scale scheme has
 also been established by the residual vector field measures. In the demons method, the multi-scale smoother calculates faster
 than the large ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3708939</comments>
            <pubDate>Fri, 25 Jun 2010 17:07:44 +0100</pubDate>
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        <item>
            <title>Letter to the Editor Re: PanCanadian Evaluation of Irreversible Compression Ratios (“Lossy” Compression) for Development of National Guidelines</title>
            <link>http://www.medworm.com/index.php?rid=3693624&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F4u2728n86l345001%2F</link>
            <description>Content Type Journal ArticleDOI 10.1007/s10278-010-9308-3Authors
		Geoff Norman, McMaster University Department of Clinical Epidemiology and Biostatistics Hamilton CanadaPeter Bak, McMaster University Department of Radiology McMaster Innovation Park, 175 Longwood Rd South, Suite 101 Hamilton ON L8P 0A1 CanadaAndre Matos, McMaster University Department of Radiology McMaster Innovation Park, 175 Longwood Rd South, Suite 101 Hamilton ON L8P 0A1 CanadaDavid A. Koff, McMaster University Department of Radiology McMaster Innovation Park, 175 Longwood Rd South, Suite 101 Hamilton ON L8P 0A1 Canada
	

	
		Journal Journal of Digital ImagingOnline ISSN 1618-727XPrint ISSN 0897-1889 (Source: Journal of Digital Imaging)</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3693624</comments>
            <pubDate>Wed, 23 Jun 2010 08:21:57 +0100</pubDate>
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        <item>
            <title>Initial Experience with a Handheld Device Digital Imaging and Communications in Medicine Viewer: OsiriX Mobile on the iPhone</title>
            <link>http://www.medworm.com/index.php?rid=3693625&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2F506t62q72u875v27%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Medical imaging is commonly used to diagnose many emergent conditions, as well as plan treatment. Digital images can be reviewed
 on almost any computing platform. Modern mobile phones and handheld devices are portable computing platforms with robust software
 programming interfaces, powerful processors, and high-resolution displays. OsiriX mobile, a new Digital Imaging and Communications
 in Medicine viewing program, is available for the iPhone/iPod touch platform. This raises the possibility of mobile review
 of diagnostic medical images to expedite diagnosis and treatment planning using a commercial off the shelf solution, facilitating
 communication among radiologists and referring clinicians.
 
 
	Content Type Journal ArticleDOI 10.1007/s10278-010-9312-7Authors
		A...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3693625</comments>
            <pubDate>Tue, 22 Jun 2010 14:04:25 +0100</pubDate>
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        <item>
            <title>Customization of Medical Report Data</title>
            <link>http://www.medworm.com/index.php?rid=3693626&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fb57m355581u55691%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Structured reporting offers a number of theoretical advantages, perhaps the most important of which is creation of standardized
 report databases. The standardized data created can in turn be used to customize data display, report content, historical
 data retrieval, interpretation analysis, and results communication in both a context and user-specific manner. In addition,
 these referenceable report databases can be used to facilitate the practice of evidence based medicine, through data-driven
 meta-analysis and determination of best practice guidelines. This concept will only be realized if the customized data delivery
 technology provides real and tangible value to end users, accentuates workflow, can be seamlessly integrated into existing
 information system techno...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3693626</comments>
            <pubDate>Tue, 22 Jun 2010 14:04:19 +0100</pubDate>
            <guid isPermaLink="false">3693626</guid>        </item>
        <item>
            <title>Three-dimensional Elastic Image Registration Based on Strain Energy Minimization: Application to Prostate Magnetic Resonance Imaging</title>
            <link>http://www.medworm.com/index.php?rid=3669429&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fh21715nk85n44083%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;The use of magnetic resonance (MR) imaging in conjunction with an endorectal coil is currently the clinical standard for the
 diagnosis of prostate cancer because of the increased sensitivity and specificity of this approach. However, imaging in this
 manner provides images and spectra of the prostate in the deformed state because of the insertion of the endorectal coil.
 Such deformation may lead to uncertainties in the localization of prostate cancer during therapy. We propose a novel 3-D elastic
 registration procedure that is based on the minimization of a physically motivated strain energy function that requires the
 identification of similar features (points, curves, or surfaces) in the source and target images. The Gauss–Seidel method
 was used in the numerical...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3669429</comments>
            <pubDate>Wed, 16 Jun 2010 07:16:33 +0100</pubDate>
            <guid isPermaLink="false">3669429</guid>        </item>
        <item>
            <title>Challenges for Data Storage in Medical Imaging Research</title>
            <link>http://www.medworm.com/index.php?rid=3669430&amp;cid=s_33348_37_f&amp;fid=33348&amp;url=http%3A%2F%2Fwww.springerlink.com%2Fcontent%2Fk347503558x63681%2F</link>
            <description>Abstract&amp;nbsp;&amp;nbsp;Researchers in medical imaging have multiple challenges for storing, indexing, maintaining viability, and sharing their data.
 Addressing all these concerns requires a constellation of tools, but not all of them need to be local to the site. In particular,
 the data storage challenges faced by researchers can begin to require professional information technology skills. With limited
 human resources and funds, the medical imaging researcher may be better served with an outsourcing strategy for some management
 aspects. This paper outlines an approach to manage the main objectives faced by medical imaging scientists whose work includes
 processing and data mining on non-standard file formats, and relating those files to the their DICOM standard descendents.
 The capacity ...</description>
            <author>Journal of Digital Imaging</author>
            <type>journals</type>
        <comments>http://www.medworm.com/rss/comments.php?id=3669430</comments>
            <pubDate>Fri, 11 Jun 2010 19:48:35 +0100</pubDate>
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