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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

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(Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Estimating the Number of Clusters via System Evolution for Cluster Analysis of Gene Expression DataEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The estimation of the number of clusters (NC) is one of crucial problems in the cluster analysis of gene expression data. Most approaches available give their answers without the intuitive information about separable degrees between clusters. However, this information is useful for understanding cluster structures. To provide this information, we propose system evolution (SE) method to estimate NC based on partitioning around medoids (PAM) clustering algorithm. SE analyzes cluster structures of a dataset from the viewpoint of a pseudothermodynamics system. The system will go to its stable equilibrium state, at which the op...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Computational Intelligence in Bioinformatics: SNP/Haplotype Data in Genetic Association Study for Common DiseasesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Comprehensive evaluation of common genetic variations through association of single-nucleotide polymorphism (SNP) structure with common complex disease in the genome-wide scale is currently a hot area in human genome research due to the recent development of the Human Genome Project and HapMap Project. Computational science, which includes computational intelligence (CI), has recently become the third method of scientific enquiry besides theory and experimentation. There have been fast growing interests in developing and applying CI in disease mapping using SNP and haplotype data. Some of the recent studies have demonstrat...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Microarray Gene Cluster Identification and Annotation Through Cluster Ensemble and EM-Based Informative Textual SummarizationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We present a novel cluster ensemble approach to generate high-quality gene cluster. In our text summarization module, given a gene cluster, our expectation-maximization based algorithm can automatically identify subtopics and extract most probable terms for each topic. Then, the extracted top k topical terms from each subtopic are combined to form the biological explanation of each gene cluster. Experimental results demonstrate that our system can obtain high-quality clusters and provide informative key terms for the gene clusters. (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Blastocyst Microinjection AutomationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Blastocyst microinjections are routinely involved in the process of creating genetically modified mice for biomedical research, but their efficiency is highly dependent on the skills of the operators. As a consequence, much time and resources are required for training microinjection personnel. This situation has been aggravated by the rapid growth of genetic research, which has increased the demand for mutant animals. Therefore, increased productivity and efficiency in this area are highly desired. Here, we pursue these goals through the automation of a previously developed teleoperated blastocyst microinjection system. Th...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

A Lossless Compression Method for Medical Image Sequences Using JPEG-LS and Interframe CodingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Hospitals and medical centers produce an enormous amount of digital medical images every day, especially in the form of image sequences, which requires considerable storage space. One solution could be the application of lossless compression. Among available methods, JPEG-LS has excellent coding performance. However, it only compresses a single picture with intracoding and does not utilize the interframe correlation among pictures. Therefore, this paper proposes a method that combines the JPEG-LS and an interframe coding with motion vectors to enhance the compression performance of using JPEG-LS alone. Since the interframe...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Automatic Recognition of Gait Patterns Exhibiting Patellofemoral Pain Syndrome Using a Support Vector Machine ApproachEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Patellofemoral pain syndrome (PFPS) is a common disorder that afflicts people across all age groups, and results in various degrees of knee pain. The diagnosis of PFPS is difficult since the exact biomechanical factors and the extent to which they are affected by the disorder are still unknown. Recent research has reported significant statistical differences in ground reaction forces (GRFs) and foot kinematics, which could be indicative of PFPS, but the interrelationship between many of these measures and the pathology have been absent so far. In this paper, we applied the support vector machines (SVMs) to detect PFPS gait...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Indexing 3-D Human Motion Repositories for Content-Based RetrievalEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Content-based retrieval of the similar motions for the human joints has significant impact in the fields of physical medicine, biomedicine, rehabilitation, and motion therapy. In this paper, we propose an efficient indexing approach for 3-D human motion capture data, supporting queries involving both subbody motions as well as whole-body motions. (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning TechniquesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Background: Outcome prediction for subarachnoid hemorrhage (SAH) helps guide care and compare global management strategies. Logistic regression models for outcome prediction may be cumbersome to apply in clinical practice. Objective: To use machine learning techniques to build a model of outcome prediction that makes the knowledge discovered from the data explicit and communicable to domain experts. Material and methods: A derivation cohort (n = 441) of nonselected SAH cases was analyzed using different classification algorithms to generate decision trees and decision rules. Algorithm used were C4.5, fast decision tree lea...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

A Framework for Detecting Glaucomatous Progression in the Optic Nerve Head of an Eye Using Proper Orthogonal DecompositionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Glaucoma is the second leading cause of blindness worldwide. Often, the optic nerve head (ONH) glaucomatous damage and ONH changes occur prior to visual field loss and are observable in vivo. Thus, digital image analysis is a promising choice for detecting the onset and/or progression of glaucoma. In this paper, we present a new framework for detecting glaucomatous changes in the ONH of an eye using the method of proper orthogonal decomposition (POD). A baseline topograph subspace was constructed for each eye to describe the structure of the ONH of the eye at a reference/baseline condition using POD. Any glaucomatous chang...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

A Data-Mining Approach for Investigating Social and Economic Geographical Dynamics of $beta$-Thalassemia's SpreadEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This study analyzed beta-thalassemia's socioeconomic geography and how it affects the afflicted population. We processed survey data and performed data mining using self-organizing maps to identify underlying data structure. We hypothesized that certain variables mark subgroups within the affected population and we aimed at identifying these subgroups and used a correlation-based measure to assess the variable's importance to the subgroup's distinction. The population's education level was one of the major factors that divided it into different subgroups. Our study showed that recurring patterns of specific variables separ...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

A Novel Finite-Element-Based Algorithm for Fluorescence Molecular Tomography of Heterogeneous MediaEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
In this study, a novel finite-element-based algorithm for FMT of heterogeneous media is proposed. In the algorithm, optical properties are reconstructed using the conjugate gradient method. A modified method based on reverse differential scheme is deduced for calculating the gradient when the detector points are not restricted on boundary nodes. With the recovered optical properties, linear relationship between known surface measurements of emission light and unknown fluorescence yield is then obtained. FMT reconstruction is implemented by combining algebraic reconstruction technique (ART) and Landweber iteration method. W...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Evaluating Statistical Tests on OLAP Cubes to Compare Degree of DiseaseEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We present experiments showing important medical findings and evaluating scalability with medical datasets. (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Detection of Tandem Repeats in DNA Sequences Based on Parametric Spectral EstimationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Tandem repeats, which occur frequently in genomes, are related to gene regulatory functions and various diseases. In this paper, an efficient algorithm for tandem repeat detection is proposed. In our method, the spectrogram of a DNA sequence is analyzed based on the autoregressive model. Then, significant peaks in the spectrogram are selected, and the corresponding regions in the DNA sequence are analyzed to search for tandem repeats. Experiment results show that our method has a superior performance in comparison with other algorithms. (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

High Speed Biological Sequence Analysis With Hidden Markov Models on Reconfigurable PlatformsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We describe how this technique leads to significant runtime savings for HMM database scanning on a standard off-the-shelf field-programmable gate array (FPGA). (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

An Overview of Potential Factors for Effective Telemedicine Transfer to Sub-Saharan AfricaEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This paper gives an overview of core factors mitigating effective transfer of TeleMedicine to Sub-Saharan Africa (SSA) as a capability for improving the extremely poor state of healthcare delivery systems in that region of the world. Using specific examples of TeleMedicine applications, such as in TeleRadiology and health education, the paper highlights the importance of TeleMedicine in SSA. It then presents the salient factors that influence TeleMedicine technology transfer in the form of a conceptual framework. In explaining the framework, the paper offers opinions and supportive arguments on the importance and significa...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Overview of Advanced Computer Vision Systems for Skin Lesions CharacterizationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
During the last years, computer-vision-based diagnosis systems have been used in several hospitals and dermatology clinics, aiming mostly at the early detection of skin cancer, and more specifically, the recognition of malignant melanoma tumour. In this paper, we review the state of the art in such systems by first presenting the installation, the visual features used for skin lesion classification, and the methods for defining them. Then, we describe how to extract these features through digital image processing methods, i.e., segmentation, border detection, and color and texture processing, and we present the most promin...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Feature-Based Fusion of Medical Imaging DataEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We describe the approach in detail and provide examples of how it has been used for different fusion tasks. We also propose a method for selecting which combination of modalities provides the greatest value in discriminating groups. Finally, we summarize and describe future research topics. (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Epileptic Seizure Detection in EEGs Using Time–Frequency AnalysisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The detection of recorded epileptic seizure activity in EEG segments is crucial for the localization and classification of epileptic seizures. However, since seizure evolution is typically a dynamic and nonstationary process and the signals are composed of multiple frequencies, visual and conventional frequency-based methods have limited application. In this paper, we demonstrate the suitability of the time-frequency ( t-f) analysis to classify EEG segments for epileptic seizures, and we compare several methods for t- f analysis of EEGs. Short-time Fourier transform and several t-f distributions are used to calculate the p...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Computational Intelligence in Gait Research: A Perspective on Current Applications and Future ChallengesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Our mobility is an important daily requirement so much so that any disruption to it severely degrades our perceived quality of life. Studies in gait and human movement sciences, therefore, play a significant role in maintaining the well-being of our mobility. Current gait analysis involves numerous interdependent gait parameters that are difficult to adequately interpret due to the large volume of recorded data and lengthy assessment times in gait laboratories. A proposed solution to these problems is computational intelligence (CI), which is an emerging paradigm in biomedical engineering most notably in pathology detectio...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Computer-Aided Diagnosis of Thyroid Malignancy Using an Artificial Immune System Classification AlgorithmEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The diagnosis of thyroid malignancy by fine needle aspiration (FNA) examination has been proven to show wide variations of sensitivity and specificity. This paper proposes the utilization of a computer-aided diagnosis system based on a supervised classification algorithm from the artificial immune systems to assist the task of thyroid malignancy diagnosis. The core of the proposed algorithm is the so-called BoxCells, which are defined as parallelepipeds in the feature space. Properly defined operators act on the BoxCells in order to convert them into individual, elementary classifiers. The proposed algorithm is applied on ...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Development of a Wireless Sensor Glove for Surgical Skills AssessmentEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Laparoscopic surgery is a challenging task in minimally invasive surgery, which involves complex instrument control, extensive manual dexterity, and hand-eye coordination. This requires a greater attention to training and skills evaluation. In order to provide a more objective skills assessment method, this paper presents a wireless sensor platform for the capture of laparoscopic hand gesture data and a hidden-Markov-model-based analysis framework for optimal sensor selection and placement. Detailed experimental validation is provided to illustrate how the proposed method can be used to assess surgical performance improvem...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Guest Editorial Introduction to the Special Section on Computational Intelligence in Medical SystemsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The six papers in this special section focus on the most recent applications of computational intelligent systems in medicine. Some papers accepted for this issue (10 in total) were published earlier by mistake. (Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Table of ContentsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - August 31, 2009 Category: Information Technology Source Type: journals

Discovering Genes-Diseases Associations From Specialized Literature Using the GridEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This paper proposes a novel method for text mining on the Grid, aimed at pointing out hidden relationships for hypothesis generation and suitable for semi-interactive querying. The method is based on unsupervised clustering and the outputs are visualized with contextual information. Grid implementation is crucial for feasibility. We demonstrate it with a mining run for discovering genes-diseases associations from bibliographic sources and annotated databases. The proposed methodology is in view of a Grid architecture specialized in bioinformatics mining tasks. Some performance considerations are provided. (Source: Informat...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

IEEE Transactions on Information Technology in Biomedicine information for authorsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
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Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Have you visited lately? www.ieee.orgEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC)
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Low-Power, Intelligent Sensor Hardware Interface for Medical Data PreprocessingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This work proposes an interface design of a low-power programmable system on chip for intelligent wireless sensor nodes to reduce the overall power consumption of the heart disease monitoring system, by lending them the capability of processing complex functions and performing rapid computations on a large amount of data at the node. This facilitates the node to intelligently monitor a medical signal for impending events instead of transmitting the signal to the base station constantly. Lowering the transmission data rate decreases the transmission power consumption in a node, thereby lengthening the node life and in turn ...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Novel Lossless fMRI Image Compression Based on Motion Compensation and Customized Entropy CodingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We recently proposed a method for lossless compression of 4-D medical images based on the advanced video coding standard (H.264/AVC). In this paper, we present two major contributions that enhance our previous work for compression of functional MRI (fMRI) data: 1) a new multiframe motion compensation process that employs 4-D search, variable-size block matching, and bidirectional prediction; and 2) a new context-based adaptive binary arithmetic coder designed for lossless compression of the residual and motion vector data. We validate our method on real fMRI sequences of various resolutions and compare the performance to t...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Virtual Microscopy and Grid-Enabled Decision Support for Large-Scale Analysis of Imaged Pathology SpecimensEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Breast cancer accounts for about 30% of all cancers and 15% of cancer deaths in women. Advances in computer-assisted analysis hold promise for classifying subtypes of disease and improving prognostic accuracy. We introduce a grid-enabled decision support system for performing automatic analysis of imaged breast tissue microarrays. To date, we have processed more than 1$,$00 $,$000 digitized specimens (1200 $times$ 1200 pixels each) on IBM's World Community Grid (WCG). As a part of the Help Defeat Cancer (HDC) project, we have analyzed that the data returned from WCG along with retrospective patient clinical profiles...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Fuzzy Scaling Analysis of a Mouse Mutant With Brain Morphological ChangesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Scaling behavior inherently exists in fundamental biological structures, and the measure of such an attribute can only be known at a given scale of observation. Thus, the properties of fractals and power-law scaling have become attractive for research in biology and medicine because of their potential for discovering patterns and characteristics of complex biological morphologies. Despite the successful applications of fractals for the life sciences, the quantitative measure of the scale invariance expressed by fractal dimensions is limited in more complex situations, such as for histopathological analysis of tissue change...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Use of Kernel Functions in Artificial Immune Systems for the Nonlinear Classification ProblemsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
In this study, we developed a kernel-based AIS to compensate for this deficiency by providing a nonlinear structure via transformation of distance calculations in the clonal selection models of classical AIS to kernel space. Applications of the developed system were conducted on Statlog heart disease dataset, which was taken from the University of California, Irvine Machine-Learning Repository, and on Doppler sonograms to diagnose atherosclerosis disease. The system obtained a classification accuracy of 85.93% for the Statlog heart disease dataset, while it achieved a 99.09% classification success for the Doppler dataset. ...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Texture Analysis for Automatic Segmentation of Intervertebral Disks of Scoliotic Spines From MR ImagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This paper presents a unified framework for automatic segmentation of intervertebral disks of scoliotic spines from different types of magnetic resonance (MR) image sequences. The method exploits a combination of statistical and spectral texture features to discriminate closed regions representing intervertebral disks from background in MR images of the spine. Specific texture features are evaluated for three types of MR sequences acquired in the sagittal plane: 2-D spin echo, 3-D multiecho data image combination, and 3-D fast imaging with steady state precession. A total of 22 texture features (18 statistical and 4 spectr...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Tumor Clustering Using Nonnegative Matrix Factorization With Gene SelectionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Tumor clustering is becoming a powerful method in cancer class discovery. Nonnegative matrix factorization (NMF) has shown advantages over other conventional clustering techniques. Nonetheless, there is still considerable room for improving the performance of NMF. To this end, in this paper, gene selection and explicitly enforcing sparseness are introduced into the factorization process. Particularly, independent component analysis is employed to select a subset of genes so that the effect of irrelevant or noisy genes can be reduced. The NMF and its extensions, sparse NMF and NMF with sparseness constraint, are then used f...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Dimensionality Reduction Oriented Toward the Feature Visualization for Ischemia DetectionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
An effective data representation methodology on high-dimension feature spaces is presented, which allows a better interpretation of subjacent physiological phenomena (namely, cardiac behavior related to cardiovascular diseases), and is based on search criteria over a feature set resulting in an increase in the detection capability of ischemic pathologies, but also connecting these features with the physiologic representation of the ECG. The proposed dimension reduction scheme consists of three levels: projection, interpretation, and visualization. First, a hybrid algorithm is described that projects the multidimensional da...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Providing Integrity and Authenticity in DICOM Images: A Novel ApproachEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The increasing adoption of information systems in healthcare has led to a scenario where patient information security is more and more being regarded as a critical issue. Allowing patient information to be in jeopardy may lead to irreparable damage, physically, morally, and socially to the patient, potentially shaking the credibility of the healthcare institution. Medical images play a crucial role in such context, given their importance in diagnosis, treatment, and research. Therefore, it is vital to take measures in order to prevent tampering and determine their provenance. This demands adoption of security mechanisms to...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Automatic Segmentation and Disentangling of Chromosomes in Q-Band Prometaphase ImagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Karyotype analysis is a widespread procedure in cytogenetics to assess the possible presence of genetics defects. The procedure is lengthy and repetitive, so that an automatic analysis would greatly help the cytogeneticist routine work. Still, automatic segmentation and full disentangling of chromosomes are open issues. We propose an automatic procedure to obtain the separated chromosomes, which are then ready for a subsequent classification step. The segmentation is carried out by means of a space-variant thresholding scheme, which proved to be successful even in presence of hyper- or hypofluorescent regions in the image....
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Real-Time 3-D Ultrasound Scan Conversion Using a Multicore ProcessorEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Real-time 3-D ultrasound scan conversion (SC) in software has not been practical due to its high computation and I/O data handling requirements. In this paper, we describe software-based 3-D SC with high volume rates using a multicore processor, Cell. We have implemented both 3-D SC approaches: 1) the separable 3-D SC where two 2-D coordinate transformations in orthogonal planes are performed in sequence and 2) the direct 3-D SC where the coordinate transformation is directly handled in 3-D. One Cell processor can scan-convert a $192 times 192 times 192$ 16-bit volume at 87.8 volumes/s with the separable 3-D SC algorithm a...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Enhancement of Multichannel Chromosome Classification Using a Region-Based Classifier and Vector Median FilteringEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Multichannel chromosome image acquisition is used for cancer diagnosis and research on genetic disorders. This type of imaging, apart from aiding the cytogeneticist in several ways, facilitates the visual detection of chromosome abnormalities. However, chromosome misclassification errors result from different factors, such as uneven hybridization, spectral overlap among fluors, and biochemical noise. In this paper, we enhance the chromosome classification accuracy by making use of a region Bayes classifier that increases the classification accuracy when compared to the already developed pixel-by-pixel classifier and by inc...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Discovering Genes–Diseases Associations From Specialized Literature Using the GridEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This paper proposes a novel method for text mining on the Grid, aimed at pointing out hidden relationships for hypothesis generation and suitable for semi-interactive querying. The method is based on unsupervised clustering and the outputs are visualized with contextual information. Grid implementation is crucial for feasibility. We demonstrate it with a mining run for discovering genes–diseases associations from bibliographic sources and annotated databases. The proposed methodology is in view of a Grid architecture specialized in bioinformatics mining tasks. Some performance considerations are provided. (Source: I...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Web-Based Multilayer Viewing Interface for Knee CartilageEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Many adults suffer from osteoarthritis (OA) with the majority of people over 65 showing radiographic evidence of the disease. To carry out effective diagnosis and treatment, it is necessary to understand the progression of cartilage loss and study the effectiveness of therapeutic interventions. Hence, it is important to have accurate, fast diagnosis of the disease. In this paper, we describe a Web-based user interface that enables the direct viewing of 2-D and 3-D image data from the visceral and tissue levels of the biological continuum (i.e., the continuum comprising systems, viscera, tissue, cells, proteins, and genes)&...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

A Computational-Intelligence-Based Approach for Detection of Exudates in Diabetic Retinopathy ImagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Currently, there is an increasing interest for setting up medical systems that can screen a large number of people for sight threatening diseases, such as diabetic retinopathy. This paper presents a method for automated identification of exudate pathologies in retinopathy images based on computational intelligence techniques. The color retinal images are segmented using fuzzy c-means clustering following some preprocessing steps, i.e., color normalization and contrast enhancement. The entire segmented images establish a dataset of regions. To classify these segmented regions into exudates and nonexudates, a set of initial ...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

A Modified Matched Filter With Double-Sided Thresholding for Screening Proliferative Diabetic RetinopathyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The early diagnosis of proliferative diabetic retinopathy (PDR), a common complication of diabetes that damages the retina, is crucial to the protection of the vision of diabetes sufferers. The onset of PDR is signaled by the appearance of neovascular net. Such neovascular nets might be identified using retinal vessel extraction techniques. The commonly used matched filter methods often produce false positive detections of neovascular nets due to their proneness to detect nonline edges as well as lines. In this paper, we propose a modified matched filter for retinal vessel extraction that applies a local vessel cross-secti...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals

Active Contours Guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound ImagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Thyroid nodules are solid or cystic lumps formed in the thyroid gland and may be caused by a variety of thyroid disorders. This paper presents a novel active contour model for precise delineation of thyroid nodules of various shapes according to their echogenicity and texture, as displayed in ultrasound (US) images. The proposed model, named joint echogenicity–texture (JET), is based on a modified Mumford–Shah functional that, in addition to regional image intensity, incorporates statistical texture information encoded by feature distributions. The distributions are aggregated within the functional through ne...
Source: Information Technology in Biomedicine, IEEE Transactions on - new TOC - June 30, 2009 Category: Information Technology Source Type: journals