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 'Medical Image Analysis' source. Thu, 09 Feb 2012 03:37:46 +0100 http://www.medworm.com/index.php?rid=5631581&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841512000060%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631581 Fri, 27 Jan 2012 08:38:38 +0100 5631581 http://www.medworm.com/index.php?rid=5631594&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100171X%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Noise in magnetic resonance images should be modeled as Rician distribution. ► Rician distribution fits the MR image histogram better than a Gaussian one. ► Cortical surfaces from the brain MR images can be better delineated using Rician models in a segmentation algorithm compared to a Gaussian one. ► Segmentations between same brain MR images acquired under different pulse sequences are more consistent using Rician modeling.Abstract: Several popular classification algorithms used to segment magnetic resonance brain images assume that the image intensities, or log-transformed intensities, satisfy a finite Gaussian mixture model. In these methods, the parameters of the mixture model are estimated and the posterior probabilities for each tissue class... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631594 Wed, 14 Dec 2011 05:00:00 +0100 5631594 http://www.medworm.com/index.php?rid=5631595&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001721%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Spatially variable noise correction algorithm is applied with the Rician correction. ► Automatic detection of a regions with the Gaussian or Rician noise distributions. ► Improved noise correction scheme for the diffusion-weighted imaging.Abstract: Magnetic resonance images tend to be influenced by various random factors usually referred to as “noise”. The principal sources of noise and related artefacts can be divided into two types: arising from hardware (acquisition coil arrays, gradient coils, field inhomogeneity); and arising from the subject (physiological noise including body motion, cardiac pulsation or respiratory motion). These factors negatively affect the resolution and reproducibility of the images. Therefore, a proper noise treatmen... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631595 Mon, 12 Dec 2011 05:00:00 +0100 5631595 http://www.medworm.com/index.php?rid=5631593&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001691%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Successful construction of 3D MRI-based models of pathologic pig hearts. ► 3D model accurately depicts anatomy, scar heterogeneity and fiber directions. ► Categorization of heterogeneous zones was validated using histology. ► Model parameterization used action potential waves from optical imaging.Abstract: Cardiac computer models can help us understand and predict the propagation of excitation waves (i.e., action potential, AP) in healthy and pathologic hearts. Our broad aim is to develop accurate 3D MR image-based computer models of electrophysiology in large hearts (translatable to clinical applications) and to validate them experimentally. The specific goals of this paper were to match models with maps of the propagation of optical AP on the epi... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631593 Wed, 07 Dec 2011 05:00:00 +0100 5631593 http://www.medworm.com/index.php?rid=5631592&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100168X%2Fabstract%3Frss%3Dyes Graphical abstract: 3DMAS Method (3D Mitral Annulus Segmentation Method): Algorithm to segment the mitral valve annulus in a 3D ultrasound frame showing a closed mitral valve.CLKOF Method (Constrained Lucas and Kanade Optical Flow Method): Geometrically constrained optical flow method designed to robustly track the mitral valve annulus between noisy ultrasound volumes.Highlights: ► 4D mitral annulus segmentation algorithm changes methods based on the valve state. ► Valve state is automatically determined from the 3D ultrasound images. ► Closed valve annuli are directly segmented, whereas open valve annuli are tracked. ► Tracking is done using a geometrically constrained optical flow algorithm. ► Annulus delineations are user-independent given reasonable user inputs.Abstract: Meas... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631592 Tue, 06 Dec 2011 05:00:00 +0100 5631592 http://www.medworm.com/index.php?rid=5631591&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001678%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► A biopsy site is re-localised in endoscopic images using epipolar geometry. ► The uncertainty of the re-localised biopsy site is computed analytically. ► Biopsy sites were re-localised with accuracies greater than 1mm in patient data. ► The analytical uncertainty approximates accurately the experimental uncertainty.Abstract: Endoscopy guided probe-based optical biopsy is a new method for detecting sites for tissue biopsy and treatment. After detection, it can be useful to provide a visual aid in the endoscopic images to the endoscopist for example for guidance of forceps to the biopsy sites detected optically. A new method for re-localisation of these sites during the endoscopic examination is presented in this paper. It makes use of a sequence of ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631591 Fri, 02 Dec 2011 05:00:00 +0100 5631591 http://www.medworm.com/index.php?rid=5451384&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001642%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451384 Mon, 28 Nov 2011 21:06:58 +0100 5451384 http://www.medworm.com/index.php?rid=5451357&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001538%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451357 Mon, 28 Nov 2011 21:06:58 +0100 5451357 http://www.medworm.com/index.php?rid=5631589&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001629%2Fabstract%3Frss%3Dyes Graphical abstract: Multisubject brain response estimated using the three methods under study, KNN maps are shown in serial and parallel versions. Raw maps (left panel) and their responses after thresholding them (at a 95% level) are displayed. Talairach coordinates of axial slices are 66mm, 55mm, −20mm and −23mm.Highlights: ► A mutual information method is used to identify specific effects produced by a task. ► Two MI estimators are proposed for fMRI brain mapping: Parzen windows and KNN. ► A statistical measure has been introduced to automatically threshold the MI maps. ► MI estimators outperform SPM in single subject studies. ► KNN MI shows improved performance in multisubject studies.Abstract: Neuroimaging plays a fundamental role in the study of human cognitive neuroscie... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631589 Mon, 28 Nov 2011 05:00:00 +0100 5631589 http://www.medworm.com/index.php?rid=5631590&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001630%2Fabstract%3Frss%3Dyes Graphical abstract: Red circled tensors are original tensors before interpolation, the color of a tensor represent its principal eigenvector orientation.Highlights: ► A novel method for diffusion tensor interpolation. ► A diffusion tensor is represented by tensor eigenvalues and tensor orientation. ► Eliminate swelling effect, preserve simultaneously the monotonicity of FA and MD. ► No artificial crossing fibers introduced.Abstract: Diffusion tensor interpolation is an important issue in the application of diffusion tensor magnetic resonance imaging (DT-MRI) to the human heart, all the more as the points representing the myocardium of the heart are often sparse. We propose a feature-based interpolation framework for the tensor fields from cardiac DT-MRI, by taking into account inhe... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631590 Fri, 18 Nov 2011 05:00:00 +0100 5631590 http://www.medworm.com/index.php?rid=5631588&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001605%2Fabstract%3Frss%3Dyes Graphical abstract: Quantification of 3D Myocardial strain in one patient undergoing CRT before therapy and at follow-up.Highlights: ► We propose a new diffeomorphic temporal registration algorithm. ► It recovers strain and motion from an input 3D ultrasound image sequence. ► Longitudinal strain was quantified on 9 healthy volunteers and 13 CRT patients. ► On volunteers, results are in agreement with clinical literature. ► On patients, results match CRT outcome as quantified by reverse remodeling.Abstract: This paper presents a new registration algorithm, called Temporal Diffeomorphic Free Form Deformation (TDFFD), and its application to motion and strain quantification from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consist... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631588 Wed, 16 Nov 2011 05:00:00 +0100 5631588 http://www.medworm.com/index.php?rid=5631586&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001423%2Fabstract%3Frss%3Dyes Graphical abstract: Liver mosaic (right) made from 60+ 3D ultrasound volumes (left). Image-based rigid registration of volumes took an average of 24.4ms per volume.Highlights: ► Presented is a fast image-based rigid registration method for 3D ultrasound. ► Registrations are computed in real-time (i.e. as fast as volumes are acquired). ► Feature detection and descriptor formation account for 3D ultrasound characteristics. ► Efficient use of a global feature set limits the accumulation of registration error. ► Accuracy of the method is comparable to existing rigid registration methods.Abstract: Registration of three-dimensional ultrasound (3DUS) volumes is necessary in several applications, such as when stitching volumes to expand the field of view or when stabilizing a temporal se... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631586 Wed, 16 Nov 2011 05:00:00 +0100 5631586 http://www.medworm.com/index.php?rid=5631583&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001319%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Glioma cells infiltrate for several cm beyond the margin visible in MRI. ► Doctors treat the brain volume that extends 2cm out from the visible margin. ► Tumour cells preferentially move in the direction of brain fibers. ► Use a geodesic distance on DTI to define a better anisotropic radiation margin.Abstract: Glioma is one of the most challenging types of brain tumors to treat or control locally. One of the main problems is to determine which areas of the apparently normal brain contain glioma cells, as gliomas are known to infiltrate several centimeters beyond the clinically apparent lesion that is visualized on standard Computed Tomography scans (CT) or Magnetic Resonance Images (MRIs). To ensure that radiation treatment encompasses the whole tu... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631583 Wed, 16 Nov 2011 05:00:00 +0100 5631583 http://www.medworm.com/index.php?rid=5631587&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001435%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► We formulate a general framework of atlas-based implant surgical planning on 3D data. ► Automated planning of the femoral stem in total hip arthroplasty (THA) is addressed. ► Two types of statistical atlas are developed for modeling the surgeon’s expertise. ► Planning datasets prepared for actual computer-guided THA were used for evaluation. ► The proposed methods will be potentially applied to various implants.Abstract: Atlas-based methods for automated preoperative planning of the femoral stem implant in total hip arthroplasty are described. Statistical atlases are constructed from a number of past preoperative plans prepared by experienced surgeons in order to represent the surgeon’s expertise of the planning. Two types of atlases are cons... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631587 Mon, 07 Nov 2011 05:00:00 +0100 5631587 http://www.medworm.com/index.php?rid=5631584&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100140X%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► A multiscale shape representation scheme is proposed. ► A fully automatic multiscale shape-based segmentation framework is proposed. ► The multiscale shape representation can be used with other shape analysis and shape-based techniques.Abstract: Extracting structure of interest from medical images is an important yet tedious work. Due to the image quality, the shape knowledge is widely used for assisting and constraining the segmentation process. In many previous works, shape knowledge was incorporated by first constructing a shape space from training cases, and then constraining the segmentation process to be within the learned shape space. However, such an approach has certain limitations due to the number of variations, eigen-shapemodes, that can ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631584 Thu, 03 Nov 2011 04:00:00 +0100 5631584 http://www.medworm.com/index.php?rid=5631585&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001411%2Fabstract%3Frss%3Dyes We present a method to segment the whole myocardium in 2D-echocardiography. ► The algorithm works for the four main views used in clinical routine. ► The heart is approximated by a combination of hyperquadrics used as a shape prior. ► Comparison is made with experts references on images with clinical interest.Abstract: The segmentation of the myocardium in echocardiographic images is an important task for the diagnosis of heart disease. This task is difficult due to the inherent problems of echographic images (i.e. low contrast, speckle noise, signal dropout, presence of shadows). In this article, we propose a method to segment the whole myocardium (endocardial and epicardial contours) in 2D echographic images. This is achieved using a level-set model constrained by a new shape formu... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631585 Wed, 02 Nov 2011 04:00:00 +0100 5631585 http://www.medworm.com/index.php?rid=5631582&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001307%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► We segment left ventricular endocardial boundaries from RF ultrasound. ► Our M.A.P. segmentation uses a joint spatial model and a multiframe conditional. ► The conditional model relates neighboring frames using a linear predictor. ► The linear predictor exploits spatio-temporal coherence in the data. ► We overcome problems due to image inhomogeneities amplified in B-mode segmentation.Abstract: This paper presents an algorithm for segmenting left ventricular endocardial boundaries from RF ultrasound. Our method incorporates a computationally efficient linear predictor that exploits short-term spatio-temporal coherence in the RF data. Segmentation is achieved jointly using an independent identically distributed (i.i.d.) spatial model for RF intensi... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5631582 Mon, 17 Oct 2011 04:00:00 +0100 5631582 http://www.medworm.com/index.php?rid=5317929&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001216%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317929 Sat, 15 Oct 2011 22:37:54 +0100 5317929 http://www.medworm.com/index.php?rid=5451383&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001290%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► We tackle the recovery of dense myocardial deformations and strains from tagged MRI. ► k-Nearest Neighbors Graphs to assess the joint similarity between frames. ► kNNGs combined information from different cardiac views in an unified metric. ► Significantly higher accuracy compared to standard pairwise alignment was shown. ► Strains in patients with myocardial infarction was studied and evaluated.Abstract: Image registration has been proposed as an automatic method for recovering cardiac displacement fields from tagged Magnetic Resonance Imaging (tMRI) sequences. Initially performed as a set of pairwise registrations, these techniques have evolved to the use of 3D+t deformation models, requiring metrics of joint image alignment (JA). However, only... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451383 Wed, 28 Sep 2011 04:00:00 +0100 5451383 http://www.medworm.com/index.php?rid=5451382&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001198%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► A comprehensive framework for detecting changes between two DTI acquisitions. ► Statistical tests on different levels of representation of diffusion imaging (ADC, tensor, FA and MD). ► Application to the follow-up of patients suffering from multiple sclerosis.Abstract: The automatic analysis of subtle changes between MRI scans is an important tool for monitoring disease evolution. Several methods have been proposed to detect changes in serial conventional MRI but few works have considered Diffusion Tensor Imaging (DTI), which is a promising modality for monitoring neurodegenerative disease and particularly Multiple Sclerosis (MS). In this paper, we introduce a comprehensive framework for detecting changes between two DTI acquisitions by considering d... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451382 Fri, 09 Sep 2011 04:00:00 +0100 5451382 http://www.medworm.com/index.php?rid=5451381&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001186%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► The performance of four frequently used methods for tracking in tagged MRI is evaluated. ► A novel probabilistic method for tag tracking is introduced and validated. ► The proposed method allows for fully automatic and improved analysis of cardiac motion.Abstract: Tagged magnetic resonance imaging (tMRI) is a well-known noninvasive method for studying regional heart dynamics. It offers great potential for quantitative analysis of a variety of kine(ma)tic parameters, but its clinical use has so far been limited, in part due to the lack of robustness and accuracy of existing tag tracking algorithms in dealing with low (and intrinsically time-varying) image quality. In this paper, we evaluate the performance of four frequently used concepts found in the... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451381 Thu, 08 Sep 2011 04:00:00 +0100 5451381 http://www.medworm.com/index.php?rid=5451380&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001174%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► The joint entropy prior applied to limited view transmission tomography is prone to local optima. ► We improved the JE prior’s robustness to local optima by using a multiresolution optimisation scheme. ► An alternative solution was to approximate the joint pdf by a 2D Gaussian, yielding fast convergence and global convexity. ► The SG approximation was sensitive to outliers. We increased robustness by using an iterative reweighting scheme. ► To account for multiple clusters in the joint pdf, we modeled the joint pdf as the sum of several bivariate clusters.Abstract: This paper is concerned with limited view tomography. Inspired by the application of digital breast tomosynthesis (DBT), which is but one of an increasing number of applications of l... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451380 Thu, 08 Sep 2011 04:00:00 +0100 5451380 http://www.medworm.com/index.php?rid=5451379&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001162%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Adaptive Shape Composition (ASC) is proposed to model shapes and implicitly incorporate the shape prior constraint effectively. ► It is based on sparse representation and is able to handle non-Gaussian errors, model multimodal distribution of shapes and recover local details. ► The problem is efficiently solved by an EM type of framework and an efficient convex optimization algorithm.Abstract: Organ shape plays an important role in various clinical practices, e.g., diagnosis, surgical planning and treatment evaluation. It is usually derived from low level appearance cues in medical images. However, due to diseases and imaging artifacts, low level appearance cues might be weak or misleading. In this situation, shape priors become critical to infer and... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451379 Wed, 07 Sep 2011 04:00:00 +0100 5451379 http://www.medworm.com/index.php?rid=5451378&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001150%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Respiratory motion model that can predict intra- and inter-cycle motion variability. ► PCA-based model applied using a real-time 2-D MRI ‘navigator’. ► Model application gives feedback on suitability of model to current breathing style. ► Motion model used to select optimal positioning for 2-D MRI ‘navigator’. ► Technique demonstrated for purpose of MRI-based motion correction of PET imaging.Abstract: Respiratory motion models have potential application for estimating and correcting the effects of motion in a wide range of applications, for example in PET-MR imaging. Given that motion cycles caused by breathing are only approximately repeatable, an important quality of such models is their ability to capture and estimate the intra- and in... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451378 Wed, 07 Sep 2011 04:00:00 +0100 5451378 http://www.medworm.com/index.php?rid=5171915&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001034%2Fabstract%3Frss%3Dyes The 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010, was held in Beijing, China from 20–24 September, 2010. MICCAI is the foremost international scientific event in the field of medical image computing and computer-assisted interventions. The annual conference has a high scientific standard by virtue of the threshold for acceptance, and accordingly MICCAI has built up a track record of attracting leading scientists, engineers and clinicians from a wide range of technical and biomedical disciplines. (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171915 Mon, 29 Aug 2011 21:21:03 +0100 5171915 http://www.medworm.com/index.php?rid=5171914&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001058%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171914 Mon, 29 Aug 2011 21:21:03 +0100 5171914 http://www.medworm.com/index.php?rid=5451377&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001137%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Data driven and model based techniques are combined in the constrained ICA (CICA). ► Gamma variate model-following constraint is added to ICA in temporal domain. ► Non-negativity constraint is added to the ICA spatial domain. ► CICA performed better than data-driven technique (ICA) in simulation and experiment. ► CICA outperformed model based technique (gamma Model) in simulation and experiment.Abstract: Understanding brain hemodynamics as well as the coupling between microvascular hemodynamics and neural activity is important in pathophysiology of cerebral microvasculature. When local increases in neuronal activity occur, the blood volume changes in the surrounding brain vasculature. Dynamic contrast enhanced imaging (DCE) is a powerful techniqu... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451377 Fri, 26 Aug 2011 04:00:00 +0100 5451377 http://www.medworm.com/index.php?rid=5451371&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000958%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Camera motion is an indicator of diagnostic hysteroscopy operator intention. ► Our approach summarizes hysteroscopy videos based on an analysis of camera motion. ► Our method reduces the video browsing effort without discarding relevant data. ► We contribute to better understanding of what could be a hysteroscopy video shot. ► Content-based hysteroscopy video libraries can be built and the summaries may be used for indexing.Abstract: Specialists often need to browse through libraries containing many diagnostic hysteroscopy videos searching for similar cases, or even to review the video of one particular case. Video searching and browsing can be used in many situations, like in case-based diagnosis when videos of previously diagnosed cases are com... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451371 Thu, 25 Aug 2011 04:00:00 +0100 5451371 http://www.medworm.com/index.php?rid=5451376&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001022%2Fabstract%3Frss%3Dyes This study is motivated firstly by the goal of developing a robust fibre tracking algorithm, combining the power of both deterministic and probabilistic tracking methods using average curves. These typical curves produce strong connections to every anatomically distinct fibre tract from a seed point and also convey important information about the underlying probability distribution. These single well-defined trajectories overcome a number of the limitations of deterministic and probabilistic approaches. A new clustering algorithm for branching curves is employed to separate fibres into branches before applying the averaging methods. Secondly, a quantitative analysis tool for probabilistic tracking methods is introduced using statistical measures of curve-sets. Results on phantom and in viv... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451376 Thu, 11 Aug 2011 04:00:00 +0100 5451376 http://www.medworm.com/index.php?rid=5317932&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000909%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► A framework for group-wise registration and morphological analysis of medical images. ► Local linear approximations of the manifold to follow the nonlinearity of a morphological appearance manifold. ► The combination of Jacobian and residual generally perform better than Jacobian or residual alone. ► The optimal solutions do not require a priori selection of regularization parameters or templates. ► For similar original shape and global template, the optimal intermediate template looks different from both.Abstract: Computational anatomy quantifies anatomical shape based on diffeomorphic transformations of a template. However, different templates warping algorithms, regularization parameters, or templates, lead to different representations of the ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317932 Fri, 29 Jul 2011 04:00:00 +0100 5317932 http://www.medworm.com/index.php?rid=5451375&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001010%2Fabstract%3Frss%3Dyes We present a new publicly available dataset with ground-truth data containing 169 patients from various ethnic groups and levels of DME. This and other two publicly available datasets are employed to evaluate our algorithm. We are able to achieve diagnosis performance comparable to retina experts on the MESSIDOR (an independently labelled dataset with 1200 images) with cross-dataset testing (e.g., the classifier was trained on an independent dataset and tested on MESSIDOR). Our algorithm obtained an AUC between 0.88 and 0.94 depending on the dataset/features used. Additionally, it does not need ground truth at lesion level to reject false positives and is computationally efficient, as it generates a diagnosis on an average of 4.4s (9.3s, considering the optic nerve localisation) per image ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451375 Mon, 25 Jul 2011 04:00:00 +0100 5451375 http://www.medworm.com/index.php?rid=5451374&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511001009%2Fabstract%3Frss%3Dyes We present the personalisation of a 3D electromechanical model of the heart to predict the acute haemodynamic changes associated with CRT. The acute effects of pacing were predicted with the model for several pacing con- ditions on two patients, achieving good agreement with invasive haemody- namic measurements. These promising results demonstrate the potential of biophysical models to improve patient selection and plan CRT.Highlights: ► Personalisation of an electromechanical model integrating anatomy, electrophysiology, kinematics and mechanics. ► Quantitative evaluation of the different personalisation steps. ► Prediction of the pressure curves for different pacing conditions. ► Quantitative validation of the predictions from interventional measurements.Abstract: Cardiac resynch... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451374 Mon, 25 Jul 2011 04:00:00 +0100 5451374 http://www.medworm.com/index.php?rid=5451373&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000995%2Fabstract%3Frss%3Dyes The objective function used is non-convex, but it possesses a bilinear structure that allows the ambiguity among solutions to be resolved technically by regularization and practically by normalizing a pre-estimated norm of the reconstructed image. Since the objective function is convex in each single argument, convex analysis is used to formulate the optimality condition for the image in terms of a primal–dual system. To solve the optimality system, a nonlinear Gauss–Seidel outer iteration is used in which the objective function is minimized with respect to one variable after the other using an inner generalized Newton iteration. Computational results for in vivo MR imaging data show that a significant improvement in reconstruction quality can be obtained by using the proposed regulari... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451373 Fri, 22 Jul 2011 04:00:00 +0100 5451373 http://www.medworm.com/index.php?rid=5451372&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000983%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ►Brain tumor segmentation based on prior tumor location information. ► OPG components classification without grey-level normalization. ► OPG follow-up that supports automatic monitoring of disease progression. ► Evaluation and follow-up with a robust and consistent measurement tool.Abstract: This paper presents an automatic method for the segmentation, internal classification and follow-up of optic pathway gliomas (OPGs) from multi-sequence MRI datasets. Our method starts with the automatic localization of the OPG and its core with an anatomical atlas followed by a binary voxel classification with a probabilistic tissue model whose parameters are estimated from the MR images. The method effectively incorporates prior location, tissue characteristics,... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451372 Wed, 20 Jul 2011 04:00:00 +0100 5451372 http://www.medworm.com/index.php?rid=5171918&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100096X%2Fabstract%3Frss%3Dyes Graphical abstract: Algorithm overview for segmenting numerous small structures in a large image, performed as a series of independent patch segmentations subject to stitching constraints between them. The constraints are derived from mutual agreement analysis on adjacent patch segmentations from a previous round. The constrained segmentation not only stitches solutions seamlessly along overlapping patch borders but also refines the segmentation in the patch interiors.Highlights: ► Simple spectral graph algorithm pops out many small regions all at once. ► Grouping cues based on short-range attraction and long-range repulsion between pixels. ► Efficient solution handles fine segmentation granularity and large image complexity.Abstract: In medical research, many applications require co... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171918 Thu, 07 Jul 2011 23:00:00 +0100 5171918 http://www.medworm.com/index.php?rid=5002681&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000703%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5002681 Thu, 07 Jul 2011 17:17:33 +0100 5002681 http://www.medworm.com/index.php?rid=5317931&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000971%2Fabstract%3Frss%3Dyes Graphical abstract: A schematic of the workflow described in the paper showing the sequential steps and feedback loops associated with the processing of patient data to produce a patient specific anatomical mesh.Highlights: ► A step towards the clinical adoption of physiological simulations. ► A fast, robust and accurate method for the personalisation of cubic Hermite meshes. ► An accurate variational mesh warping technique for high order interpolation meshes.Abstract: In-silico continuum simulations of organ and tissue scale physiology often require a discretisation or mesh of the solution domain. Cubic Hermite meshes provide a smooth representation of anatomy that is well-suited for simulating large deformation mechanics. Models of organ mechanics and deformation have demonstrated ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317931 Thu, 07 Jul 2011 04:00:00 +0100 5317931 http://www.medworm.com/index.php?rid=5451370&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000946%2Fabstract%3Frss%3Dyes Graphical abstract: Isotropic smoothing contradicts motion physiology when organs are slipping along each other. By decoupling normal- and tangential-directed regularization, discontinuous motion can be modeled and registration results improved significantly.Highlights: ► Slipping motion at lung boundaries causes incorrect estimation of respiratory motion. ► Errors occur due to isotropic regularization during lung registration. ► Physiological motion characteristics can be modeled by decoupling motion directions. ► The presented direction-dependent regularization improves registration significantly.Abstract: Accurate estimation of respiratory motion is essential for many applications in medical 4D imaging, for example for radiotherapy of thoracic and abdominal tumors. It is usually... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451370 Mon, 27 Jun 2011 04:00:00 +0100 5451370 http://www.medworm.com/index.php?rid=5451369&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000934%2Fabstract%3Frss%3Dyes Graphical abstract: The two-click user input defines a region of interest and sampling areas for the training data (a). Based on the training data, observation likelihood functions are computed for the two classes: tumor (b) and other (c). The hidden Markov measure field model takes the likelihood functions as input and produces a maximum a posteriori (MAP) estimate for the tumor class (d). The MAP estimate is used to construct the final segmentation which accurately follows the true tumor boundaries (e) and is a smooth 3D object (f).Highlights: ► Method produces accurate segmentations of liver tumors from low-quality data. ► Only minimal user interaction is required. ► Highest score for benchmark data set, with average overlap error of 30.35%. ► Multiphase segmentation uses severa... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451369 Mon, 27 Jun 2011 04:00:00 +0100 5451369 http://www.medworm.com/index.php?rid=5171916&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000843%2Fabstract%3Frss%3Dyes Graphical abstract: Advantages over previous methods.Highlights: ► An efficient algorithm is proposed for MR image reconstruction. ► Theoretical proofs are provided to mathematically demonstrates the benefit of the proposed method. ► The proposed algorithm outperforms previous methods in numerous experiments.Abstract: In this paper, we propose an efficient algorithm for MR image reconstruction. The algorithm minimizes a linear combination of three terms corresponding to a least square data fitting, total variation (TV) and L1 norm regularization. This has been shown to be very powerful for the MR image reconstruction. First, we decompose the original problem into L1 and TV norm regularization subproblems respectively. Then, these two subproblems are efficiently solved by existing tec... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171916 Sun, 26 Jun 2011 23:00:00 +0100 5171916 http://www.medworm.com/index.php?rid=5171923&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000922%2Fabstract%3Frss%3Dyes Graphical abstract: Stages of our approach:Highlights: ► The first work in computer-aided diagnosis of macular pathologies in retinal OCT images. ► The presence of normal macula and three pathologies (ME, MH, AMD) are identified. ► A novel descriptor to encode geometry, texture, and shape of the retinal structures. ► Extensive testing on large dataset of 326 scans with all AUC>0.93. ► Machine learning based framework applicable to other pathologies.Abstract: We address a novel problem domain in the analysis of optical coherence tomography (OCT) images: the diagnosis of multiple macular pathologies in retinal OCT images. The goal is to identify the presence of normal macula and each of three types of macular pathologies, namely, macular edema, macular hole, and age-related macular... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171923 Wed, 22 Jun 2011 23:00:00 +0100 5171923 http://www.medworm.com/index.php?rid=5317936&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000910%2Fabstract%3Frss%3Dyes We present a heart model comprising the four heart chambers and the attached great vessels. A configurable algorithmic framework that we call adaptation engine matches the heart model automatically to cardiac CT angiography images in a multi-stage process.Highlights: ► Single and consistent framework for simultaneous chamber and vessel segmentation. ► Shape variability of chambers and vessels modeled using multi-linear transformations. ► Flexible engine to schedule when and how the different parts of the model are adapted. ► Mean point-to-surface error: chambers 0.50–0.82mm, vessels 0.60–1.32mm.Abstract: Recently, model-based methods for the automatic segmentation of the heart chambers have been proposed. An important application of these methods is the characterization of the ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317936 Fri, 17 Jun 2011 04:00:00 +0100 5317936 http://www.medworm.com/index.php?rid=4926292&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000636%2Fabstract%3Frss%3Dyes The 21st International Conference on Information Processing in Medical Imaging (IPMI) was held July 5–10, 2009 at the College of William and Mary in Williamsburg, Virginia, USA. The conference was the latest in a series of biennial scientific meetings during which new developments in the acquisition, analysis, and use of medical images were presented. IPMI is one of the longest running conferences devoted to these topics in medical imaging. The first IPMI conference was held in 1969, when a group of young scientists working in nuclear medicine gathered to discuss the current problems in their field. Since that time the conference has expanded into other medical imaging acquisition modalities, including ultrasound, optics, magnetic resonance, and X-ray imaging techniques. IPMI is now wide... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926292 Tue, 14 Jun 2011 16:23:07 +0100 4926292 http://www.medworm.com/index.php?rid=4926275&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000703%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926275 Tue, 14 Jun 2011 16:23:02 +0100 4926275 http://www.medworm.com/index.php?rid=5171922&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000806%2Fabstract%3Frss%3Dyes We describe a novel multi-scale detector for low-contrast curvilinear structures. ► We compare it quantitatively with a number of well-known alternative algorithms. ► We evaluate random forest and neural network approaches to pixel classification. ► The automatic quantification of nerve fibres is equivalent to manual measurement.Abstract: Diabetic peripheral neuropathy (DPN) is one of the most common long term complications of diabetes. Corneal confocal microscopy (CCM) image analysis is a novel non-invasive technique which quantifies corneal nerve fibre damage and enables diagnosis of DPN. This paper presents an automatic analysis and classification system for detecting nerve fibres in CCM images based on a multi-scale adaptive dual-model detection algorithm. The algorithm exploits ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171922 Sun, 12 Jun 2011 23:00:00 +0100 5171922 http://www.medworm.com/index.php?rid=5171919&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000867%2Fabstract%3Frss%3Dyes Graphical abstract: Improved pose estimation using a novel self-encoded marker for optical prospective motion correction in neuro-MRI. In vivo experiments show enhanced image quality using the pose estimates of self-encoded marker compared to checkerboard marker for motion correction.Highlights: ► We introduce a novel marker design for optical prospective motion correction in MRI. ► Embedded codes on this marker allow an independent identification of features. ► Without the need of all features visible to the camera the tracking range is extended. ► The novel marker shows an improved accuracy compared to a checkerboard marker. ► These improvements result in enhanced image quality in performed in vivo experiments.Abstract: The tracking and compensation of patient motion during a m... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171919 Sun, 12 Jun 2011 23:00:00 +0100 5171919 http://www.medworm.com/index.php?rid=5171924&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000855%2Fabstract%3Frss%3Dyes Graphical abstract: Motion compensated seed reconstruction.Highlights: ►During brachytherapy, we acquire C-arm images by planar rotation of the C-arm. C-arm rotation angles are measured using protractors or joint encoders. ► We computationally compensate for C-arm motion in 2D space, using the seeds. ► We obviate the need for full pose tracking using fiducials or external trackers. ► We achieved on average 98% matching rate and 0.3mm projection error per patient.Abstract: C-arm fluoroscopy images are frequently used for qualitative assessment of prostate brachytherapy. Three-dimensional seed reconstruction from C-arm images is necessary for intraoperative dosimetry and quantitative assessment. Seed reconstruction requires accurately known C-arm poses. We propose to measure the C-ar... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171924 Tue, 07 Jun 2011 23:00:00 +0100 5171924 http://www.medworm.com/index.php?rid=5171920&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000879%2Fabstract%3Frss%3Dyes Graphical abstract: This work investigates uncertainty in 4D MRI blood flow measurements. The noise distribution of the velocity measurements is derived on the local voxel level, and propagated to the global image level using a sequential monte carlo sampling method. The result is a distribution of possible blood flow trajectories that visualizes the uncertainty associated with the measurement.Highlights: ► The uncertainty in Phase-Contrast MRI blood flow measurements is investigated. ► We derive the probability distribution of flow vectors due to image noise. ► Probabilistic flow paths based on Monte Carlo sampling are introduced. ► Flow connectivity maps displaying the flow distribution are generated.Abstract: Phase-Contrast (PC) MRI utilizes signal phase shifts resulting from mo... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171920 Tue, 07 Jun 2011 23:00:00 +0100 5171920 http://www.medworm.com/index.php?rid=5451367&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000788%2Fabstract%3Frss%3Dyes Graphical abstract: A differential analysis framework is proposed to quantify tumoral growth on brain MRI. (1) Two longitudinal FLAIR MRI volumes are compared via: (2) non-linear midway intensity mapping and (3) computation of difference maps, without the need for inhomogeneity correction. Significantly high difference values are selected with parameterization for optimistic and pessimistic growth estimations. (4) A clinical study was performed on 32 longitudinal clinical cases from 13 patients to quantify low-grade glioma growth. Results showed millimetric precision on a specific volumetric radius growth index.Highlights: ► We propose an original method to quantify differences between two longitudinal brain MRI from the same patient. ► A non-linear Midway intensity mapping & a statist... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451367 Mon, 06 Jun 2011 04:00:00 +0100 5451367 http://www.medworm.com/index.php?rid=5171921&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000594%2Fabstract%3Frss%3Dyes Graphical abstract: Spatial regularization of SVM using a proximity graph built from tissue types. When used to detect group differences, it showed that poor motor outcome is associated with changes mainly located in the corticospinal bundle.Highlights: ► New method to detect group differences in brain images with spatially regularized SVM. ► Regularization based on the Laplacian of a proximity graph built from tissue types. ► Regions linked with motor outcome detected in 72 stroke patients from acute stage MRI. ► Regions located on: corticospinal tract and tracts coming from the premotor cortex.Abstract: In this paper, we propose a new method to detect differences at the group level in brain images based on spatially regularized support vector machines (SVM). We propose to spatial... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171921 Sun, 05 Jun 2011 23:00:00 +0100 5171921 http://www.medworm.com/index.php?rid=5451362&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000545%2Fabstract%3Frss%3Dyes Graphical abstract: FROC curves for the classification performance of hard exudates using local and contextual CAD systems. The diamond represents the result of the second human observer. The performance of a majority CAD system is also included. This system classifies the candidate in the same class as the majority of the candidates in the neighborhood present after local classification. Additionally, the performance of a contextual CAD system using only the proximity to red lesions as contextual information is included. The horizontal axis has a logarithmic scale.Highlights: ► Exploiting contextual information for lesion detection in medical images improve significantly the final classification. ► Contextual information helps to solve ambiguities in lesion classification. ► Exploit... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451362 Thu, 02 Jun 2011 04:00:00 +0100 5451362 http://www.medworm.com/index.php?rid=5451368&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100079X%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ►The proposed algorithm segments the wire frame of stent grafts. ► Comparison with annotated reference data shows a good agreement. ► The resulting geometric model describes the stent in a concise and natural manner. ► We will use this model to study in vivo motions and forces of the stent.Abstract: Endovascular aortic replacement (EVAR) is an established technique, which uses stent grafts to treat aortic aneurysms in patients at risk of aneurysm rupture. Late stent graft failure is a serious complication in endovascular repair of aortic aneurysms. Better understanding of the motion characteristics of stent grafts will be beneficial for designing future devices. In addition, analysis of stent graft movement in individual patients in vivo can be valua... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451368 Wed, 01 Jun 2011 04:00:00 +0100 5451368 http://www.medworm.com/index.php?rid=5451366&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000764%2Fabstract%3Frss%3Dyes Graphical abstract: Twenty leave-one-out experiments for VF prediction are shown. Three images are displayed in each row, one for each experiment. The first column is the input OCT data, the second column is the output estimated VF image, and the third column is the measured VF map. The estimate VF image is purposely positioned next to the actual VF image to facilitate a direct qualitative comparison. Qualitatively, the VF estimation results appear reasonably accurate overall.Highlights: ► We propose a framework to estimate the VF map based on the corresponding OCT thickness map, and vice versa. ► This model is derived by applying PCA to a library consisting of various pairs of OCT and VF maps. ► The accuracy of this coupled parametric model is evaluated by leave-one-out cross valida... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451366 Wed, 01 Jun 2011 04:00:00 +0100 5451366 http://www.medworm.com/index.php?rid=5171917&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000776%2Fabstract%3Frss%3Dyes Graphical abstract: A template-free approach is introduced for automating the 3D reconstruction of neuritis from microscopy volumes. The complex neuronal structures are captured with an efficient adaptive seeding method and the tracing problem is solved by computing the optimal reconstruction from the weighted graph constructed with those optimal seeds. The proposed algorithm is computational efficient and has generated promising results on various sets of microscopy images.■■Highlights: ► A efficient algorithm for automatic neuron reconstruction. ► The algorithm can handle complex structures adaptively and optimize the localization of bifurcations. ► A reliable technique to compare various of neurons for tracing evaluation and neuron retrival.Abstract: Full reconstruction of neu... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171917 Sun, 29 May 2011 23:00:00 +0100 5171917 http://www.medworm.com/index.php?rid=5451365&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000612%2Fabstract%3Frss%3Dyes This study investigates fast detection of left ventricle boundaries following the optimization of new distribution-based functions. Based on max-flow iterations and bound relaxation, the proposed algorithm yields a competitive performance in nearly real-time.Highlights: ► Novel distribution-based cost functions for left ventricle segmentation. ► Novel optimization based on bound derivation and max-flow iterations. ► Competitive performance in nearly real-time.Abstract: This study investigates fast detection of the left ventricle (LV) endo- and epicardium boundaries in a cardiac magnetic resonance (MR) sequence following the optimization of two original discrete cost functions, each containing global intensity and geometry constraints based on the Bhattacharyya similarity. The cost fu... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451365 Thu, 26 May 2011 04:00:00 +0100 5451365 http://www.medworm.com/index.php?rid=5317930&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000600%2Fabstract%3Frss%3Dyes Graphical abstract: ■■■Highlights: ► New registration framework combines forces of active contour and optical flow methods. ► A new label function is proposed to represent multiple phases with single function. ► The framework allows performing registration based on only selected atlas structures. ► Multiple registration forces can be used in an hierarchical manner.Abstract: This paper presents a new and original variational framework for atlas-based segmentation. The proposed framework integrates both the active contour framework, and the dense deformation fields of optical flow framework. This framework is quite general and encompasses many of the state-of-the-art atlas-based segmentation methods. It also allows to perform the registration of atlas and target images based on... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317930 Wed, 25 May 2011 04:00:00 +0100 5317930 http://www.medworm.com/index.php?rid=5171925&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000624%2Fabstract%3Frss%3Dyes Graphical abstract: Highlights: ► Automatic segmentation and nonrigid registration are integrated. ► A new cumulative dose delivery strategy is performed. ► Application in prostate cancer treatment and cervical cancer treatment. ► Remarkable and consistent agreement between the segmentation module and the manual delineation. ► Registration module outperforms the existing methods.Abstract: External beam radiotherapy (EBRT) has become the preferred options for nonsurgical treatment of prostate cancer and cervix cancer. In order to deliver higher doses to cancerous regions within these pelvic structures (i.e. prostate or cervix) while maintaining or lowering the doses to surrounding non-cancerous regions, it is critical to account for setup variation, organ motion, anatomical change... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5171925 Tue, 24 May 2011 23:00:00 +0100 5171925 http://www.medworm.com/index.php?rid=5451363&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000557%2Fabstract%3Frss%3Dyes Graphical abstract: This paper presents a method to automate the process of lymph node detection and labeling by creation of a mediastinal average image and a novel lymph node atlas containing probability maps for mediastinal, aortic, and N1 nodes. Highlights: ► Fast creation of a probabilistic atlas for mediastinal lymph node station maps. ► Application of atlas to mediastinal lymph node detection and labeling. ► Good sensitivity and positive predictive value compared to previous detection and labeling methods.Abstract: One important aspect of lung cancer staging is the assessment of mediastinal lymph nodes in 3-D chest computed tomography (CT) images. In the current clinical routine this is done manually by analyzing the 3-D CT image slice by slice to find nodes, evaluate them quan... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451363 Fri, 20 May 2011 04:00:00 +0100 5451363 http://www.medworm.com/index.php?rid=5451364&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000569%2Fabstract%3Frss%3Dyes Graphical abstract: In this work we propose a novel multi-scale operator which is based on the full color information within an image. In order to evaluate the method, we extract features from endoscopic images using this operator and classify the images according to the respective class of polyps.Highlights: ► Compared to other LBP-based operators LCVP uses all color information available, yet yielding a more compact descriptor for an image. ► LCVP is up to 7.5 times faster compared to other LBP-based methods evaluated. ► In terms of a classification of polyps the accuracy of LCVP differs insignificantly only from previously developed methods.Abstract: In this work we propose a novel method to describe local texture properties within color images with the aim of automated classifica... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451364 Wed, 18 May 2011 04:00:00 +0100 5451364 http://www.medworm.com/index.php?rid=5317933&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000521%2Fabstract%3Frss%3Dyes Graphical abstract: Inference of Markov random field images segmentation models is usually performed using itera- tive methods which adapt the well-known expectation–maximization (EM) algorithm for independent mixture models. However, some of these adaptations are ad hoc and may turn out numerically unstable. In this paper, we review three EM-like variants for Markov random field segmentation and compare their convergence properties both at the theoretical and practical levels. We specifically advocate a numerical scheme involving asynchronous voxel updating, for which general convergence results can be established. Our experiments on brain tissue classification in magnetic resonance images provide evidence that this algorithm may achieve significantly faster convergence than its competi... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317933 Mon, 16 May 2011 04:00:00 +0100 5317933 http://www.medworm.com/index.php?rid=5451361&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000533%2Fabstract%3Frss%3Dyes Graphical abstract: Our X-ray image and 3D TEE volume registration consists of an image-based TEE probe localization algorithm and a calibration procedure. While the calibration needs to be done only once, the GPU-accelerated TEE probe localization takes approximately from 2 to 15 s to complete. The accuracy and the clinical feasibility of our method were assessed using five patient datasets. The results showed our technique had mean registration errors of 1.5–4.2 mm and 95% capture range of 8.7–11.4 mm in terms of TRE.Highlights: ► We have developed a robust, efficient and clinically feasible method for 3D TEE and X-ray fluoroscopy registration. ► The performance of our method was examined thoroughly using a realistic heart phantom and five clinical datasets. ► Our method has de... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451361 Fri, 13 May 2011 04:00:00 +0100 5451361 http://www.medworm.com/index.php?rid=5317937&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100051X%2Fabstract%3Frss%3Dyes Graphical abstract: To identify the optic pathways, we first identify the medial axes using a novel optimal path-based approach. The level set expansions of these axes can be combined to produce a final segmentation..Highlights: ► We test a tubular structure localization algorithm. ► A statistical model incorporates a priori local intensity and shape information. ► Segmentation of the optic nerves and chiasm results in dice coefficients of 0.8. ► Results suggest that our approach is more accurate than existing techniques.Abstract: In recent years, radiation therapy has become the preferred treatment for many types of head and neck tumors. To plan the procedure, vital structures, including the optic nerves and chiasm, must be identified using CT/MR imagery. In this work we present a... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317937 Fri, 13 May 2011 04:00:00 +0100 5317937 http://www.medworm.com/index.php?rid=5317934&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000478%2Fabstract%3Frss%3Dyes Graphical abstract: The femoral pose and shape is reconstructed by fitting a 3D SSM to the Canny edges of the biplane X-ray data: a distance and angle based edge selection approach.Highlights: ► Reconstruction of the 3D femur shape from two calibrated X-rays with minimal user interaction. ► Combines the benefits of a 3D similarity metric with an automatic edge selection scheme. ► An orientation based correspondence weighting provides robustness w.r.t. noise. ► Robustness w.r.t. the FOV size enables fitting an SSM of the whole femur to knee X-rays, exploiting all information present in the FOV.Abstract: Three-dimensional patient specific bone models are required in a range of medical applications, such as pre-operative surgery planning and improved guidance during surgery, modeling ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317934 Thu, 05 May 2011 04:00:00 +0100 5317934 http://www.medworm.com/index.php?rid=5451360&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000508%2Fabstract%3Frss%3Dyes Graphical abstract: The reconstruction of fetal diffusion MRI sequences is necessary before performing their analysis.Highlights: ► An image reconstruction method independent of the diffusion model is presented. ► A novel registration technique for fetal D-MRI is provided. ► A dual RBF interpolation strategy was applied for regridding the scattered data. ► The method was evaluated on adult and fetal data by using objective criteria. ► The use of reconstructed sequences modifies the tractography results on fetal data.Abstract: In this paper we present a method for reconstructing diffusion-weighted MRI data on regular grids from scattered data. The proposed method has the advantage that no specific diffusion model needs to be assumed. Previous work assume the tensor model, but this... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451360 Fri, 29 Apr 2011 04:00:00 +0100 5451360 http://www.medworm.com/index.php?rid=5451359&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000491%2Fabstract%3Frss%3Dyes Graphical abstract: Scheme of the proposed method. The ODCT3D method is used to produce a prefiltered image that is used by the RI-NLM3D method as reference to filter the original noisy image.Highlights: ► Sparseness can be used to effectively reduce noise in the images. ► Selfsimilarity can be also exploited to remove noise from the images. ► Combining both properties in a single denoising method produces the best results. ► The proposed methods are able to deal with Rician noise (MRI). ► Comparison with state-of-the-art methods show the improved performance.Abstract: This paper proposes two new methods for the three-dimensional denoising of magnetic resonance images that exploit the sparseness and self-similarity properties of the images. The proposed methods are based on a thr... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451359 Fri, 29 Apr 2011 04:00:00 +0100 5451359 http://www.medworm.com/index.php?rid=5317935&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100048X%2Fabstract%3Frss%3Dyes Highlight: ► HNCut-CGAC model embodies five unique and novel attributes: Efficiency in segmenting multiple target structures. ► The ability to segment multiple objects from very large images. ► Minimal human interaction. ► Accuracy. ► Reproducibility.Abstract: In this paper a minimally interactive high-throughput system which employs a color gradient based active contour model for rapid and accurate segmentation of multiple target objects on very large images is presented. While geodesic active contours (GAC) have become very popular tools for image segmentation, they tend to be sensitive to model initialization. A second limitation of GAC models is that the edge detector function typically involves use of gray scale gradients; color images usually being converted to gray scale, ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5317935 Fri, 29 Apr 2011 04:00:00 +0100 5317935 http://www.medworm.com/index.php?rid=4926291&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000466%2Fabstract%3Frss%3Dyes We report a clinical study to characterize the visibility of the prostate in VE images and the ability to detect the boundary of the gland. Measures for contrast, edge strength characterized by gradient and statistical intensity change at the edge, and the continuity of the edges are proposed and computed for VE and B-mode ultrasound images. Furthermore, using MRI as the gold standard, we compare the error in the computation of the volume of the gland from VE and B-mode images. The results demonstrate that VE images are superior to B-mode images in terms of contrast, with an approximately six fold improvement in contrast-to-noise ratio, and in terms of edge strength, with an approximately two fold improvement in the gradient in the direction normal to the edge. The computed volumes show th... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926291 Thu, 31 Mar 2011 23:00:00 +0100 4926291 http://www.medworm.com/index.php?rid=5451358&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000430%2Fabstract%3Frss%3Dyes Graphical abstract: Instead of performing the image registration on the original, multi-modal images, structural representations are created. These representations serve as input for the registration framework. Interesting is that L1 and L2 distances can be used for multi-modal registration on structural representations.Highlights: ► Structural representation for multi-modal registration. ► Entropy images for multi-modal registration with L2 distance. ► Manifold learning (Laplacian eingenmaps) for identification of self-similarity in images.Abstract: The standard approach to multi-modal registration is to apply sophisticated similarity metrics such as mutual information. The disadvantage of these metrics, in comparison to measuring the intensity difference with, e.g. L1 or L2 distanc... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=5451358 Thu, 24 Mar 2011 04:00:00 +0100 5451358 http://www.medworm.com/index.php?rid=4926290&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000454%2Fabstract%3Frss%3Dyes Graphical abstract: The DeAN (DeAliaser/DeNoiser) dealiases and denoises raw color Doppler data in a fast, robust and totally unsupervised way.Highlights: ► The DeAN makes use of segmentation, recursive dealiasing process and robust smoothing. ► The DeAN returns unambiguous and reliable color Doppler fields from clinical data. ► The DeAN is suitable for 3-D color Doppler.Abstract: Color Doppler imaging (CDI) is the premiere modality to analyze blood flow in clinical practice. In the prospect of producing new CDI-based tools, we developed a fast unsupervised denoiser and dealiaser (DeAN) algorithm for color Doppler raw data. The proposed technique uses robust and automated image post-processing techniques that make the DeAN clinically compliant. The DeAN includes three consecutive adv... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926290 Wed, 23 Mar 2011 00:00:00 +0100 4926290 http://www.medworm.com/index.php?rid=4926289&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000442%2Fabstract%3Frss%3Dyes Graphical abstract: Coronary stent imaged with X-ray fluoroscopy, before (left) and after (right) digital stent enhancement.Highlights: ► Comprehensive study of DSE, from clinical needs to the validation of solution. ► Fully automated algorithm for stent visualization enhancement is detailed. ► Original algorithms for guide-wire segmentation and image registration. ► Thorough validation and characterization of the performances of the algorithm.Abstract: In this work we propose a comprehensive study of Digital Stent Enhancement (DSE), from the analysis of the requirements to the validation of the proposed solution. First, we derive the stent visualization requirements in the context of the clinical application and workflow. Then, we propose a DSE algorithm combining automatic detect... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926289 Wed, 23 Mar 2011 00:00:00 +0100 4926289 http://www.medworm.com/index.php?rid=4586322&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000338%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586322 Tue, 15 Mar 2011 18:28:35 +0100 4586322 http://www.medworm.com/index.php?rid=4926287&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000302%2Fabstract%3Frss%3Dyes Graphical abstract: Accurate identification of 125 cortical structures is achieved through the modeling of inter-subject anatomical variability by coupling localization information with spatial normalization. Figure: resulting probabilistic atlas.Highlights: ► We labeled 125 cortical structures on 62 healthy subjects. ► We introduce a joint sulci labeling and registration Bayesian framework. ► Results have been significantly improved with a recognition rate of 86%. ► All proposed models have been released in Brainvisa 3.2.1.Abstract: Brain mapping techniques pair similar anatomical information across individuals. In this context, spatial normalization is mainly used to reduce inter-subject differences to improve comparisons. These techniques may benefit from anatomically identified... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926287 Thu, 10 Mar 2011 00:00:00 +0100 4926287 http://www.medworm.com/index.php?rid=4926288&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000314%2Fabstract%3Frss%3Dyes Graphical abstract: Research highlights: ► Non-rigid image registrations are computationally complex. ► Ongoing research in alternative approaches like multiple locally affine components. ► We consider a hierarchical affine block registration scheme with regular splitting. ► A novel adaptive splitting reduces registration error by 49.1%.Abstract: Non-rigid image registration techniques are commonly used to estimate complex tissue deformations in medical imaging. A range of non-rigid registration algorithms have been proposed, but they typically have high computational complexity. To reduce this complexity, combinations of multiple less complex deformations have been proposed such as hierarchical techniques which successively split the non-rigid registration problem into multiple lo... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926288 Thu, 03 Mar 2011 00:00:00 +0100 4926288 http://www.medworm.com/index.php?rid=4926286&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000296%2Fabstract%3Frss%3Dyes Graphical abstract: Arrows indicate LV segmentation failure on single view images. Note the success on multi-view images. LV segmentation failure is defined as the inability of the image-driven segmentation method to reach the endocardial boundary.Highlights: ► RT3DE suffer from poor quality due to attenuation and intensity drop-out. ► Multi-view fusion RT3DE improves anatomical information and image quality. ► Image-driven segmentation and tracking developed to fully exploit image information. ► Evaluation of single-view and multi-view RT3DE using segmentation and tracking. ► Multi-view fusion offers better capabilities for image analysis.Abstract: Real-time 3D echocardiography (RT3DE) promises a more objective and complete cardiac functional analysis by dynamic 3D image acquisi... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926286 Mon, 28 Feb 2011 00:00:00 +0100 4926286 http://www.medworm.com/index.php?rid=4926285&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000284%2Fabstract%3Frss%3Dyes Graphical abstract: Second order kernel regression provides pilot estimations of the original image and the 3D gradient, which are used to guide the zeroth order kernel regression filter.Research highlights: ► Zeroth and second order kernel regression are combined to denoise 3D MRIs. ► Second order kernel regression produces an estimation of the original image and the 3D gradient. ► Local directional information is integrated into zeroth order kernel regression. ► Future work includes searching for other suitable local features.Abstract: Kernel regression is a non-parametric estimation technique which has been successfully applied to image denoising and enhancement in recent times. Magnetic resonance 3D image denoising has two features that distinguish it from other typical image d... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926285 Mon, 28 Feb 2011 00:00:00 +0100 4926285 http://www.medworm.com/index.php?rid=4926282&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000259%2Fabstract%3Frss%3Dyes Graphical abstract: To support the challenging task of early epithelial cancer diagnosis from in vivo endomicroscopy, we propose a content-based video retrieval method that uses an expert-annotated database. We adjust the standard Bag-of-Visual-Words method to handle endomicroscopic image retrieval. The proper level of invariance is ensured by a local dense multi-scale description. To remove outliers, retrieval is followed by a geometrical approach that captures a statistical description of the spatial relationships between the local features. Video retrieval is performed using the coarse registration results of video-mosaicing to account for spatial overlap between images taken at different times. Retrieval evaluation consists of a simple nearest neighbors classification with leave-one-pa... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926282 Fri, 25 Feb 2011 00:00:00 +0100 4926282 http://www.medworm.com/index.php?rid=4926280&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000223%2Fabstract%3Frss%3Dyes In this study, a new, fully automated, content-based system is proposed for knee bone segmentation from MRI. ► The purpose of the bone segmentation is to support the discovery and characterization of imaging biomarkers for osteoarthritis. ► The segmentation algorithm includes a novel content-based, two-pass disjoint block discovery mechanism. ► This algorithm requires constructing a graph using image data followed by applying a maximum-flow algorithm. ► The results show an automatic bone detection rate of 0.99 and an average accuracy of 0.95 using 376 MR images..Abstract: In this paper, a new, fully automated, content-based system is proposed for knee bone segmentation from magnetic resonance images (MRI). The purpose of the bone segmentation is to support the discovery and charact... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926280 Fri, 25 Feb 2011 00:00:00 +0100 4926280 http://www.medworm.com/index.php?rid=4926284&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000272%2Fabstract%3Frss%3Dyes We describe a method, Quarc, for nonlinearly registering serial anatomical images. ► Quarc validated with models. ► Quarc compared with standard methods using public data. ► Effect sizes for Alzheimer’s disease larger with Quarc.Abstract: We describe here a method, Quarc, for accurately quantifying structural changes in organs, based on serial MRI scans. The procedure can be used to measure deformations globally or in regions of interest (ROIs), including large-scale changes in the whole organ, and subtle changes in small-scale structures. We validate the method with model studies, and provide an illustrative analysis using the brain. We apply the method to the large, publicly available ADNI database of serial brain scans, and calculate Cohen’s d effect sizes for several ROIs. Us... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926284 Thu, 24 Feb 2011 00:00:00 +0100 4926284 http://www.medworm.com/index.php?rid=4926283&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000260%2Fabstract%3Frss%3Dyes We describe the data repository comprising 56 multi-center, multi-vendor CTA datasets, their acquisition, the creation of the reference standard and the evaluation measures. This framework has been introduced at the MICCAI 2009 workshop 3D Segmentation in the Clinic: A Grand Challenge III, and we compare the results of eight teams that participated. These results show that automated segmentation of the vessel lumen is possible with a precision that is comparable to manual annotation. The framework is open for new submissions through the website http://cls2009.bigr.nl.Research highlights: ► Evaluation framework for carotid artery lumen segmentation and stenosis grading. ► Description of the datasets and creation of reference standard is given. ► Standardized evaluation measures are de... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926283 Fri, 18 Feb 2011 00:00:00 +0100 4926283 http://www.medworm.com/index.php?rid=4926281&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000235%2Fabstract%3Frss%3Dyes Graphical abstract: (1) Pseudo ground truth estimation by using conjugate gradient method. (2) Corresponding image registration by using edge-emphasized demons.Research highlights: ► Overcomes the rapid intensity change due to contrast enhancement. ► Incorporates segmentation results to improve pseudo ground truth estimation. ► Requires no pharmacokinetic model or arterial supply function. ► Outperforms serial demons and MI-based FFD approaches.Abstract: This paper presents a novel nonrigid registration method for myocardial perfusion magnetic resonance (MR) images. To overcome the rapid intensity change due to contrast enhancement, we propose to register the observed sequence to a pseudo ground truth, which is a motion/noise free sequence that is estimated from the observed one, a... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926281 Thu, 17 Feb 2011 00:00:00 +0100 4926281 http://www.medworm.com/index.php?rid=4926276&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000247%2Fabstract%3Frss%3Dyes We describe the features that can be computed with each method and discuss its advantages and limitations. We also provide a detailed bibliography to guide the reader. (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926276 Thu, 17 Feb 2011 00:00:00 +0100 4926276 http://www.medworm.com/index.php?rid=4926279&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000211%2Fabstract%3Frss%3Dyes Graphical abstract: A personalized geometrical model is reconstructed from preoperative X-ray images and represented as an articulated shape based on a series of local rotations and translations. The shape transformation between the standing and lying poses is achieved by optimizing the intervertebral articulations based on image similarity with the interventional CT scan. Higher-order cliques anchored on low-dimensional manifold statistics are introduced to integrate consistency in anatomical curves. Optimization of global model parameters in a multimodal context is achieved using efficient linear programming and duality, followed by local triangular mesh relaxation of vertebra models. This generates a fused spine model with CT images, aligning surgical landmarks to intraoperative image d... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926279 Mon, 14 Feb 2011 00:00:00 +0100 4926279 http://www.medworm.com/index.php?rid=4586327&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100020X%2Fabstract%3Frss%3Dyes Graphical abstract: Constrained optimization can be used to extract skeletal muscle fiber fields from noisy diffusion tensor data. Numerical experiments show that these fiber fields closely match the ground truth even when the input data suffers from low signal-to-noise ratio. Fiber fields extracted from in-vivo DTI of the human forearm show quantitatively good results.Research highlights: ► Constrained optimization is used to extract eigenvectors from noisy DTI data. ► Constraints are chosen based on properties of muscle architecture. ► Can accurately reconstruct skeletal muscle fiber architectures.Abstract: Diffusion Tensor Imaging (DTI) allows the non-invasive study of muscle fiber architecture but musculoskeletal DTI suffers from low signal-to-noise ratio. Noise in the computed t... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586327 Wed, 09 Feb 2011 00:00:00 +0100 4586327 http://www.medworm.com/index.php?rid=4586323&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151100003X%2Fabstract%3Frss%3Dyes Graphical abstract: Main steps of the algorithm. The input of the algorithm is a 4D cardiac image (in blue). The output is the myocardial segmentation (in red). The myocardium is first detected and then segmented by a MRF of deformations.Research highlights: ► Optimal and adaptive combination of intensity, gradient and smoothness features for segmentation. ► 4D approach inside the Markovian deformable model paradigm. ► Coupling of endocardial and epicardial surfaces for myocardial segmentation. ► Hierarchical confinement of the search space for the myocardium. ► Robust, precise and reproducible results in myocardial segmentation.Abstract: A stochastic deformable model is proposed for the segmentation of the myocardium in Magnetic Resonance Imaging. The segmentation is posed as a ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586323 Wed, 09 Feb 2011 00:00:00 +0100 4586323 http://www.medworm.com/index.php?rid=4586326&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000053%2Fabstract%3Frss%3Dyes We present a software procedure for the construction of a realistic MRI digital brain phantom. The phantom consists of hydrogen nuclear magnetic resonance spin–lattice relaxation rate (R1), spin–spin relaxation rate (R2), and proton density (PD) values for a 24×19×15.5cm volume of a “normal” head. The phantom includes 17 normal tissues, each characterized by both mean value and variations in R1, R2, and PD. In addition, an optional tissue class for multiple sclerosis (MS) lesions is simulated. The phantom was used to create realistic magnetic resonance (MR) images of the brain using simulated conventional spin-echo (CSE) and fast field-echo (FFE) sequences. Results of mono-parametric segmentation of simulations of sequences with different noise and slice thickness are presented a... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586326 Mon, 31 Jan 2011 00:00:00 +0100 4586326 http://www.medworm.com/index.php?rid=4926278&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000041%2Fabstract%3Frss%3Dyes We present experimental results on HARDI volumes, ranging from simulated and 1.5T physical phantoms to 7T and 4T human brain and 7T monkey brain datasets. (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926278 Thu, 27 Jan 2011 00:00:00 +0100 4926278 http://www.medworm.com/index.php?rid=4586325&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001362%2Fabstract%3Frss%3Dyes Graphical abstract: The atlas-based comparison of individuals to a normal population allows the quantification of myocardial motion abnormalities at every spatiotemporal location. In the context of cardiac resynchronization therapy (CRT), the method is used for the reproducible characterization of a specific pattern of dyssynchrony involved in CRT outcome.Research highlights: ► Method for automatic characterization of myocardial motion patterns and their abnormality. ► Applicable to any dynamic imaging modality but illustrated here on 2D ultrasound. ► Enables comparison of a patient against a reference population. ► Provides statistical measures of abnormality at every location in time and space. ► Potential tool for selection of likely responders to cardiac resynchronization the... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586325 Thu, 27 Jan 2011 00:00:00 +0100 4586325 http://www.medworm.com/index.php?rid=4926277&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841511000028%2Fabstract%3Frss%3Dyes Graphical abstract: An improved estimator for the expected value of the target registration error squared () has been found. This higher order estimator uses only measured fiducial positions, instead of the fiducials’ true positions. Further more, the new estimator is better than the currently accepted estimator, an estimator based on the (typically) unknown true fiducial positions. The improved estimator holds even for large measurement errors, well beyond acceptable errors in clinical use.Research highlights: ► New estimator for the mean-squared target registration error (TRE) is found. ► Estimator uses only measured fiducial positions, instead of true fiducial positions. ► Estimator is more accurate than using the typically unknown true fiducial positions. ► Estimator shows a ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926277 Wed, 12 Jan 2011 00:00:00 +0100 4926277 http://www.medworm.com/index.php?rid=4586328&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001350%2Fabstract%3Frss%3Dyes Graphical abstract: ■■■.Research highlights: ► Temporal sharpening and spatial voting techniques enhanced moving granules in kymograph. ► Motion trajectories of axonal transport detected with 94% recall and 82% precision. ► Velocity profiling of matched manually obtained accuracy with less time and effort.Abstract: This paper describes an automated method to profile the velocity patterns of small organelles (BDNF granules) being transported along a selected section of axon of a cultured neuron imaged by time-lapse fluorescence microscopy. Instead of directly detecting the granules as in conventional tracking, the proposed method starts by generating a two-dimensional spatio-temporal map (kymograph) of the granule traffic along an axon segment. Temporal sharpening during the kym... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586328 Mon, 03 Jan 2011 00:00:00 +0100 4586328 http://www.medworm.com/index.php?rid=4586324&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001325%2Fabstract%3Frss%3Dyes Graphical abstract: In this paper, we present a robust visual tracking method that estimates the 3D temporal and spatial deformation of the heart surface using stereo endoscopic images. The proposed method is a combination of a visual tracking method based on a Thin-Plate Spline (TPS) model for representing the heart surface deformations with a temporal heart motion model based on a time-varying dual Fourier series for overcoming tracking disturbances or failures.Research highlights: ► This paper focuses on robust and accurate visual tracking for mitigating problems related to physiological motion in minimally invasive cardiac surgery. ► The paper presents a novel robust visual tracking framework that estimates the 3D temporal and spatial deformation of the heart surface using stereo e... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4586324 Mon, 03 Jan 2011 00:00:00 +0100 4586324 http://www.medworm.com/index.php?rid=4180985&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001179%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180985 Fri, 19 Nov 2010 12:05:32 +0100 4180985 http://www.medworm.com/index.php?rid=4180998&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001118%2Fabstract%3Frss%3Dyes We report an average distance error for hip joint bone segmentation of 1.12±0.46mm.Abstract: Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often responsible for many musculoskeletal diseases (MSDs) of human articulations. In a clinical setting, images of the suspected joints are acquired in a high resolution but with a small field of view (FOV) in order to maximize the image quality while reducing acquisition time.However bones are only partially visible in such small FOVs. This presents difficult challenges in automated bone segmentation and thus limits the application of sophisticated algorithms such as statistical shape models (SSM), which have been generally pro... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180998 Tue, 28 Sep 2010 00:00:00 +0100 4180998 http://www.medworm.com/index.php?rid=4180996&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001088%2Fabstract%3Frss%3Dyes We present a new non-uniform sampling method for the accurate estimation of mutual information in multi-modal brain image rigid registration. Most existing density estimators used for mutual information computation incorrectly assume that the intensity of each voxel is independent from its neighborhood. Our method uses the 3D Fast Discrete Curvelet Transform to reduce the sampled voxels’ interdependency by sampling voxels that are less dependent on their neighborhood, and thus provide a more accurate estimation of the mutual information and a more accurate registration. The main advantages of our method over other non-uniform sampling schemes are that: (1) it provides more accurate estimation of the image statistics with fewer samples; (2) it is less sensitive to the variability of anato... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180996 Tue, 28 Sep 2010 00:00:00 +0100 4180996 http://www.medworm.com/index.php?rid=4180995&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001076%2Fabstract%3Frss%3Dyes Graphical abstract: Research highlights: ► The stress–strain principle and tensor invariants are introduced to detect image derivative structures. ► A mathematical description of Hessian eigenvalues for general vessel shapes is obtained from an intensity continuity assumption. ► Define a new vessel likelihood function to enhance complex vascular structures including bifurcations and feature details. ► The filtering performance was verified by quantitative evaluation and cross-validation in synthetic and clinical dataset experiments.Abstract: The traditional Hessian-related vessel filters often suffer from detecting complex structures like bifurcations due to an over-simplified cylindrical model. To solve this problem, we present a shape-tuned strain energy density function to mea... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180995 Tue, 28 Sep 2010 00:00:00 +0100 4180995 http://www.medworm.com/index.php?rid=4180994&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001064%2Fabstract%3Frss%3Dyes Graphical abstract: Non-rigid Registration reflecting the natural physical moving combination of mouse anatomy.Research highlights: ► Goal: Registration of articulated legs having large displacements. ► Challenge: Large displacements located close to joints in the body, which creates convergence problems. ► Methods: Serial registration method which reflects the natural physical moving combination of mouse anatomy (Bone/Skin/Soft tissue). ► Results: The proposed method shows better registration results in both the similarity comparison and the radiotracer quantification over FFD, Demons and RPM.Abstract: Small animal X-ray computed tomographic (microCT) imaging of the lower extremities permits evaluation of arterial growth in models of hindlimb ischemia, and when applied serially ca... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180994 Mon, 06 Sep 2010 00:00:00 +0100 4180994 http://www.medworm.com/index.php?rid=4180997&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151000109X%2Fabstract%3Frss%3Dyes Graphical abstract: The segmentation algorithm consists of six stages: voxel-wise transformation, figure-ground separation, localization of a nodule core, region growing, surface extraction, and convex hull. Inputs to the system are a sub-volume that contains the nodule and a click point in the vicinity of the nodule. The output of the system is a binary map that provides the segmentation of the nodule.Research highlights: ► A new computationally efficient pulmonary nodule segmentation algorithm is presented. ► It is applicable to nodules of any density types. ► It can separate a nodule from other anatomical structures effectively. ► It only requires a click point placed inside the nodule from the user. ► The performance of the algorithm was evaluated with LIDC1, LIDC2 and additi... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180997 Thu, 02 Sep 2010 00:00:00 +0100 4180997 http://www.medworm.com/index.php?rid=4926296&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000988%2Fabstract%3Frss%3Dyes Research highlights: ► Generalized graph framework for automatic cell tracking, segmentation, and analysis. ► Introduced edge coupling approach for handling splitting and merging events. ► Algorithm handles cell splitting, merging, moving, entering, and leaving the image. ► Algorithms applied to 6000 images of 400,000 cells and 32,000 tracks. ► Tracking accuracy of 99.2% and segmentation precision and recall of 99.98% and 99.97%.Abstract: A growing number of screening applications require the automated monitoring of cell populations in a high-throughput, high-content environment. These applications depend on accurate cell tracking of individual cells that display various behaviors including mitosis, merging, rapid movement, and entering and leaving the field of view. Many approac... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926296 Sun, 15 Aug 2010 23:00:00 +0100 4926296 http://www.medworm.com/index.php?rid=4180993&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510001027%2Fabstract%3Frss%3Dyes Graphical abstract: Research highlights: ► Sets of Fiducial Localization Error (FLE) are defined such that the Fiducial or Target Registration Errors (FRE and TRE, respectively) are invariant. ► The FRE and TRE are uncorrelated under the defined FLE sets. ► Realistic sources for such FLEs are presented and discussed. ► A sensitivity analysis indicates that the FRE and TRE are uncorrelated also in the vicinity of the defined sets.Abstract: Point-based rigid registration is the method of choice for aligning medical datasets in diagnostic and image-guided surgery systems. The most clinically relevant localization error measure is the Target Registration Error (TRE), which is the distance between the image-defined target and the corresponding target defined on another image or on the p... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180993 Wed, 11 Aug 2010 00:00:00 +0100 4180993 http://www.medworm.com/index.php?rid=4180992&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000976%2Fabstract%3Frss%3Dyes Abstract: Quantitative evaluation of image registration algorithms is a difficult and under-addressed issue due to the lack of a reference standard in most registration problems. In this work a method is presented whereby detailed reference standard data may be constructed in an efficient semi-automatic fashion. A well-distributed set of n landmarks is detected fully automatically in one scan of a pair to be registered. Using a custom-designed interface, observers define corresponding anatomic locations in the second scan for a specified subset of s of these landmarks. The remaining n−s landmarks are matched fully automatically by a thin-plate-spline based system using the s manual landmark correspondences to model the relationship between the scans. The method is applied to 47 pairs of ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180992 Wed, 04 Aug 2010 00:00:00 +0100 4180992 http://www.medworm.com/index.php?rid=4180991&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000964%2Fabstract%3Frss%3Dyes We present a methodology for the evaluation of DBT reconstructions, and use it to conduct preliminary experiments investigating trade-offs between the selected imaging parameters. This investigation includes trade-offs not previously considered in the DBT literature, such as the use of a stationary detector versus a C-arm imaging geometry. A real breast CT volume serves as a ground truth digital phantom from which to simulate X-ray projections under the various acquisition parameters. The reconstructed image quality is measured using task-based metrics, namely signal CNR and the AUC of a Channelised Hotelling Observer with Laguerre–Gauss basis functions. The task at hand is the detection of a simulated mass inserted into the breast CT volume. We find that the image quality in limited vie... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180991 Wed, 28 Jul 2010 00:00:00 +0100 4180991 http://www.medworm.com/index.php?rid=4926294&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000940%2Fabstract%3Frss%3Dyes Abstract: A general-purpose deformable registration algorithm referred to as “DRAMMS” is presented in this paper. DRAMMS bridges the gap between the traditional voxel-wise methods and landmark/feature-based methods with primarily two contributions. First, DRAMMS renders each voxel relatively distinctively identifiable by a rich set of attributes, therefore largely reducing matching ambiguities. In particular, a set of multi-scale and multi-orientation Gabor attributes are extracted and the optimal components are selected, so that they form a highly distinctive morphological signature reflecting the anatomical and geometric context around each voxel. Moreover, the way in which the optimal Gabor attributes are constructed is independent of the underlying image modalities or contents, whi... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926294 Mon, 19 Jul 2010 23:00:00 +0100 4926294 http://www.medworm.com/index.php?rid=3756418&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000848%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756418 Fri, 16 Jul 2010 06:44:51 +0100 3756418 http://www.medworm.com/index.php?rid=4926295&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000952%2Fabstract%3Frss%3Dyes Abstract: State of the art radiation treatment methods such as hypo-fractionated stereotactic body radiation therapy (SBRT) can successfully destroy tumor cells and avoid damaging healthy tissue by delivering high-level radiation dose that precisely conforms to the tumor shape. Though these methods work well for stationary tumors, SBRT dose delivery is particularly susceptible to organ motion, and few techniques capable of resolving and compensating for respiratory-induced organ motion have reached clinical practice. The current treatment pipeline cannot accurately predict nor account for respiratory-induced motion in the abdomen that may result in significant displacement of target lesions during the breathing cycle. Sensitivity of dose deposition to respiratory-induced organ motion repre... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926295 Wed, 14 Jul 2010 23:00:00 +0100 4926295 http://www.medworm.com/index.php?rid=4926293&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000939%2Fabstract%3Frss%3Dyes Abstract: Many recent high angular resolution diffusion imaging (HARDI) reconstruction techniques have been introduced to infer an orientation distribution function (ODF) of the underlying tissue structure. These methods are more often based on a single-shell (one b-value) acquisition and can only recover angular structure information contained in the ensemble average propagator (EAP) describing the three-dimensional (3D) average diffusion process of water molecules. The EAP can thus provide richer information about complex tissue microstructure properties than the ODF by also considering the radial part of the diffusion signal. In this paper, we present a novel technique for analytical EAP reconstruction from multiple q-shell acquisitions. The solution is based on a Laplace equation by pa... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4926293 Wed, 14 Jul 2010 23:00:00 +0100 4926293 http://www.medworm.com/index.php?rid=3745664&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS136184151000071X%2Fabstract%3Frss%3Dyes The 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009, was held in London, England at Imperial College during September 20–24, 2009. (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745664 Tue, 13 Jul 2010 06:45:49 +0100 3745664 http://www.medworm.com/index.php?rid=3745663&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000745%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745663 Tue, 13 Jul 2010 06:45:49 +0100 3745663 http://www.medworm.com/index.php?rid=4180989&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000721%2Fabstract%3Frss%3Dyes Abstract: Independent component analysis (ICA) is a statistical technique that estimates a set of sources mixed by an unknown mixing matrix using only a set of observations. For this purpose, the only assumption is that the sources are statistically independent. In many applications, some information about the nature of the unknown signals is available. In this paper we show a method for incorporating prior information about the mixing matrix to increase the levels of detection of responses to visual stimuli. Experimentally, our method matches the performance of known ICA algorithms for high SNR and can greatly improve the performance for low levels of SNR or low levels of signal-to-background ratio (SBR). For the problem of signal extraction, we have achieved detection for signals as smal... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180989 Wed, 07 Jul 2010 00:00:00 +0100 4180989 http://www.medworm.com/index.php?rid=4180990&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000824%2Fabstract%3Frss%3Dyes Graphical abstract: Research highlights: ► Frequency-dependent dynamic material properties of human liver and pathologies are characterized by an impact hammer. ► The results of the experiments conducted with 15 human livers show that the storage moduli of the livers having no fibrosis (F0) and that of the cirrhotic livers (F4) varied from 10 to 20 kPa and 20 to 50 kPa for the frequency range of 0 to 80 Hz, respectively.Abstract: The current methods for characterization of frequency-dependent material properties of human liver are very limited. In fact, there is almost no data available in the literature showing the variation in dynamic elastic modulus of healthy or diseased human liver as a function of excitation frequency. We show that frequency-dependent dynamic material properties ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180990 Fri, 02 Jul 2010 00:00:00 +0100 4180990 http://www.medworm.com/index.php?rid=4180988&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000691%2Fabstract%3Frss%3Dyes Abstract: We propose a technique to obtain accurate and smooth surfaces of patient specific vascular structures, using two steps: segmentation and reconstruction. The first step provides accurate and smooth centerlines of the vessels, together with cross section orientations and cross section fitting. The initial centerlines are obtained from a homotopic thinning of the vessels segmented using a level set method. In addition to circle fitting, an iterative scheme fitting ellipses to the cross sections and correcting the centerline positions is proposed, leading to a strong improvement of the cross section orientations and of the location of the centerlines. The second step consists of reconstructing the surface based on this data, by generating a set of topologically preserved quadrilatera... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180988 Fri, 02 Jul 2010 00:00:00 +0100 4180988 http://www.medworm.com/index.php?rid=4180987&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS136184151000068X%2Fabstract%3Frss%3Dyes Abstract: The learning of the shape and appearance behavior of complex anatomical structures is of growing importance in the successful use of medical imaging data. We propose a method to simultaneously learn a model of shape variation and the behavioral structure of objects in volumetric data sets. The algorithm performs a group-wise registration of a set of examples, and accounts for the heterogeneous deformation or variability properties of the data. We use the method for the in situ analysis of endograft deformation in the thoracic aorta during the cardiac cycle. The method is based on an emerging model of the shape variation, which is learned autonomously from a gated computed tomography sequence. It automatically adapts to the highly non-uniform elasticity properties of the structure... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180987 Fri, 02 Jul 2010 00:00:00 +0100 4180987 http://www.medworm.com/index.php?rid=4180986&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.medicalimageanalysisjournal.com%2Farticle%2FPIIS1361841510000678%2Fabstract%3Frss%3Dyes We report segmentation results on 185 datasets of the prostate site, demonstrating improved performance over previous models. (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=4180986 Mon, 28 Jun 2010 00:00:00 +0100 4180986 http://www.medworm.com/index.php?rid=3756424&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000654%2Fabstract%3Frss%3Dyes Abstract: Study of nervous systems via the connectome, the map of connectivities of all neurons in that system, is a challenging problem in neuroscience. Towards this goal, neurobiologists are acquiring large electron microscopy datasets. However, the shear volume of these datasets renders manual analysis infeasible. Hence, automated image analysis methods are required for reconstructing the connectome from these very large image collections. Segmentation of neurons in these images, an essential step of the reconstruction pipeline, is challenging because of noise, anisotropic shapes and brightness, and the presence of confounding structures. The method described in this paper uses a series of artificial neural networks (ANNs) in a framework combined with a feature vector that is composed o... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756424 Sun, 20 Jun 2010 23:00:00 +0100 3756424 http://www.medworm.com/index.php?rid=3756421&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000629%2Fabstract%3Frss%3Dyes Abstract: Strong prior models are a prerequisite for reliable spatio-temporal cardiac image analysis. While several cardiac models have been presented in the past, many of them are either too complex for their parameters to be estimated on the sole basis of MR Images, or overly simplified. In this paper, we present a novel dynamic model, based on the equation of dynamics for elastic materials and on Fourier filtering. The explicit use of dynamics allows us to enforce periodicity and temporal smoothness constraints. We propose an algorithm to solve the continuous dynamical problem associated to numerically adapting the model to the image sequence. Using a simple 1D example, we show how temporal filtering can help removing noise while ensuring the periodicity and smoothness of solutions. The... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756421 Sun, 13 Jun 2010 23:00:00 +0100 3756421 http://www.medworm.com/index.php?rid=3745671&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000599%2Fabstract%3Frss%3Dyes Abstract: In many cases, radio-frequency catheter ablation of the pulmonary veins attached to the left atrium still involves fluoroscopic image guidance. Two-dimensional X-ray navigation may also take advantage of overlay images derived from static pre-operative 3D volumetric data to add anatomical details otherwise not visible under X-ray. Unfortunately, respiratory motion may impair the utility of static overlay images for catheter navigation. We developed a novel approach for image-based 3D motion estimation and compensation as a solution to this problem. It is based on 3D catheter tracking which, in turn, relies on 2D/3D registration. To this end, a bi-plane C-arm system is used to take X-ray images of a special circumferential mapping catheter from two directions. In the first step of... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745671 Thu, 10 Jun 2010 23:00:00 +0100 3745671 http://www.medworm.com/index.php?rid=3756422&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000666%2Fabstract%3Frss%3Dyes In conclusion, the proposed tracker is able to reduce the influence of artifacts, potentially improving quantitative analysis of clinical quality echocardiograms. (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756422 Wed, 09 Jun 2010 23:00:00 +0100 3756422 http://www.medworm.com/index.php?rid=3756425&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000630%2Fabstract%3Frss%3Dyes Abstract: In Magnetic Resonance Imaging, image resolution is limited by several factors such as hardware or time constraints. In many cases, the acquired images have to be upsampled to match a specific resolution. In such cases, image interpolation techniques have been traditionally applied. However, traditional interpolation techniques are not able to recover high frequency information of the underlying high resolution data. In this paper, a new upsampling method is proposed to recover some of this high frequency information by using a data-adaptive patch-based reconstruction in combination with a subsampling coherence constraint. The proposed method has been evaluated on synthetic and real clinical cases and compared with traditional interpolation methods. The proposed method is shown to... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756425 Sun, 06 Jun 2010 23:00:00 +0100 3756425 http://www.medworm.com/index.php?rid=3745666&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000617%2Fabstract%3Frss%3Dyes Abstract: This paper describes a method for building efficient representations of large sets of brain images. Our hypothesis is that the space spanned by a set of brain images can be captured, to a close approximation, by a low-dimensional, nonlinear manifold. This paper presents a method to learn such a low-dimensional manifold from a given data set. The manifold model is generative—brain images can be constructed from a relatively small set of parameters, and new brain images can be projected onto the manifold. This allows to quantify the geometric accuracy of the manifold approximation in terms of projection distance. The manifold coordinates induce a Euclidean coordinate system on the population data that can be used to perform statistical analysis of the population. We evaluate the ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745666 Sun, 06 Jun 2010 23:00:00 +0100 3745666 http://www.medworm.com/index.php?rid=3745665&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000642%2Fabstract%3Frss%3Dyes Abstract: Medical image registration is a challenging problem, especially when there is large anatomical variation in the anatomies. Geodesic registration methods have been proposed to solve the large deformation registration problem. However, analytically defined geodesic paths may not coincide with biologically plausible paths of registration, since the manifold of diffeomorphisms is immensely broader than the manifold spanned by diffeomorphisms between real anatomies. In this paper, we propose a novel framework for large deformation registration using the learned manifold of anatomical variation in the data. In this framework, a large deformation between two images is decomposed into a series of small deformations along the shortest path on an empirical manifold that represents anatomic... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745665 Sun, 06 Jun 2010 23:00:00 +0100 3745665 http://www.medworm.com/index.php?rid=3756419&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000587%2Fabstract%3Frss%3Dyes Abstract: Numerous publications and commercial systems are available that deal with automatic detection of pulmonary nodules in thoracic computed tomography scans, but a comparative study where many systems are applied to the same data set has not yet been performed. This paper introduces ANODE09 ( http://anode09.isi.uu.nl), a database of 55 scans from a lung cancer screening program and a web-based framework for objective evaluation of nodule detection algorithms. Any team can upload results to facilitate benchmarking. The performance of six algorithms for which results are available are compared; five from academic groups and one commercially available system. A method to combine the output of multiple systems is proposed. Results show a substantial performance difference between algorit... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756419 Thu, 03 Jun 2010 23:00:00 +0100 3756419 http://www.medworm.com/index.php?rid=3745667&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000575%2Fabstract%3Frss%3Dyes Abstract: Spatial priors, such as probabilistic atlases, play an important role in MRI segmentation. However, the availability of comprehensive, reliable and suitable manual segmentations for atlas construction is limited. We therefore propose a method for joint segmentation of corresponding regions of interest in a collection of aligned images that does not require labeled training data. Instead, a latent atlas, initialized by at most a single manual segmentation, is inferred from the evolving segmentations of the ensemble. The algorithm is based on probabilistic principles but is solved using partial differential equations (PDEs) and energy minimization criteria. We evaluate the method on two datasets, segmenting subcortical and cortical structures in a multi-subject study and extracting... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745667 Thu, 03 Jun 2010 23:00:00 +0100 3745667 http://www.medworm.com/index.php?rid=3623809&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000496%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623809 Thu, 03 Jun 2010 14:16:56 +0100 3623809 http://www.medworm.com/index.php?rid=3745670&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000563%2Fabstract%3Frss%3Dyes Abstract: Anatomical and functional information of cardiac vasculature is a key component in the field of interventional cardiology. With the technology of C-arm CT it is possible to reconstruct static intraprocedural 3D images from angiographic projection data. Current approaches attempt to add the temporal dimension (4D). In the assumption of periodic heart motion, ECG-gating techniques can be used. However, arrhythmic heart signals and slight breathing motion are degrading image quality frequently.To overcome those problems, we present a reconstruction method based on a 4D time-continuous B-spline motion field. The temporal component of the motion field is parameterized by the acquisition time and does not assume a periodic heart motion. The analytic dynamic FDK-reconstruction formula i... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745670 Wed, 02 Jun 2010 23:00:00 +0100 3745670 http://www.medworm.com/index.php?rid=3745669&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000605%2Fabstract%3Frss%3Dyes We present a novel method to generate parallax-free panoramic X-ray images during surgery by enabling the mobile C-arm to rotate around its X-ray source center, relative to the patient’s table. Rotating the mobile C-arm around its X-ray source center is impractical and sometimes impossible due to the mechanical design of mobile C-arm systems. In order to ensure that the C-arm motion is a relative pure rotation around its X-ray source center, we propose to move the table to compensate for the translational part of the motion based on C-arm pose estimation. For this we employ a visual marker pattern and a Camera Augmented Mobile C-arm system that is a standard mobile C-arm augmented by a video camera and mirror construction. We are able to produce a parallax-free panoramic X-ray image inde... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745669 Wed, 02 Jun 2010 23:00:00 +0100 3745669 http://www.medworm.com/index.php?rid=3745668&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000472%2Fabstract%3Frss%3Dyes Abstract: Diffusion tensor imaging plays a key role in our understanding of white matter both in normal populations and in populations with brain disorders. Existing techniques focus primarily on using diffusivity-based quantities derived from diffusion tensor as surrogate measures of microstructural tissue properties of white matter. In this paper, we describe a novel tract-specific framework that enables the examination of white matter morphometry at both the macroscopic and microscopic scales. The framework leverages the skeleton-based modeling of sheet-like white matter fasciculi using the continuous medial representation, which gives a natural definition of thickness and supports its comparison across subjects. The thickness measure provides a macroscopic characterization of white mat... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3745668 Sun, 30 May 2010 23:00:00 +0100 3745668 http://www.medworm.com/index.php?rid=3756420&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000447%2Fabstract%3Frss%3Dyes Abstract: This paper presents a fully automated method for atlas-based whole-body segmentation in non-contrast-enhanced Micro-CT data of mice. The position and posture of mice in such studies may vary to a large extent, complicating data comparison in cross-sectional and follow-up studies. Moreover, Micro-CT typically yields only poor soft-tissue contrast for abdominal organs.To overcome these challenges, we propose a method that divides the problem into an atlas constrained registration based on high-contrast organs in Micro-CT (skeleton, lungs and skin), and a soft tissue approximation step for low-contrast organs. We first present a modification of the MOBY mouse atlas (Segars et al., 2004) by partitioning the skeleton into individual bones, by adding anatomically realistic joint types ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756420 Thu, 20 May 2010 23:00:00 +0100 3756420 http://www.medworm.com/index.php?rid=3756423&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000460%2Fabstract%3Frss%3Dyes Abstract: We propose and validate a semi-automatic method for lumen segmentation of the carotid bifurcation in computed tomography angiography (CTA). First, the central vessel axis is obtained using path tracking between three user-defined points. Second, starting from this path, the segmentation is automatically obtained using a level set. The cost and speed functions for path tracking and segmentation make use of intensity and homogeneity slice-based image features. The method is validated on a large data set of 234 carotid bifurcations of 129 ischemic stroke patients with atherosclerotic disease. The results are compared to manually obtained lumen segmentations. Parameter optimization is carried out on a subset of 30 representative carotid bifurcations. With the optimized parameter sett... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3756423 Sun, 16 May 2010 23:00:00 +0100 3756423 http://www.medworm.com/index.php?rid=3623819&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000423%2Fabstract%3Frss%3Dyes Abstract: Diffuse optical imaging uses light to provide a surrogate measure of neuronal activation through the hemodynamic responses. The relative low absorption of near-infrared light enables measurements of hemoglobin changes at depths reaching the first centimeter of the cortex. The rapid rate of acquisition and the access to both oxy and deoxy-hemoglobin leads to new challenges when trying to uncouple physiology from the signal of interest. In particular, recent work provided evidence of the presence of a 1/f noise structure in optical signals and showed that a general linear model based on wavelets can be used to decorrelate the structured noise and provide a superior estimator of response amplitude when compared with conventional techniques. In this work the wavelet techniques are ex... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623819 Thu, 06 May 2010 23:00:00 +0100 3623819 http://www.medworm.com/index.php?rid=3623818&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000411%2Fabstract%3Frss%3Dyes Abstract: Image enhancement is of great importance in medical imaging where image resolution remains a crucial point in many image analysis algorithms. In this paper, we investigate brain hallucination (), or generating a high-resolution brain image from an input low-resolution image, with the help of another high-resolution brain image. We propose an approach for image super-resolution by using anatomical intermodality priors from a reference image. Contrary to interpolation techniques, in order to be able to recover fine details in images, the reconstruction process is based on a physical model of image acquisition. Another contribution to this inverse problem is a new regularization approach that uses an example-based framework integrating non-local similarity constraints to handle in a... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623818 Thu, 06 May 2010 23:00:00 +0100 3623818 http://www.medworm.com/index.php?rid=3623817&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS136184151000040X%2Fabstract%3Frss%3Dyes Abstract: This paper presents a novel model based segmentation technique for quantification of left ventricular (LV) function from sparse single-beat 3D echocardiographic data acquired with a fast rotating ultrasound (FRU) transducer. This transducer captures cardiac anatomy in a sparse set of radially sampled, curved cross-sections within a single cardiac cycle. The method employs a 3D Active Shape Model of the left ventricle (LV) in combination with local appearance models as prior knowledge to steer the segmentation. A set of local appearance patches generate the model update points for fitting the model to the LV in the curved FRU cross-sections. Updates are then propagated over the dense 3D model mesh to overcome correspondence problems due to the data sparsity, whereas the 3D Active ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623817 Thu, 06 May 2010 23:00:00 +0100 3623817 http://www.medworm.com/index.php?rid=3623820&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000435%2Fabstract%3Frss%3Dyes Abstract: In this paper we present a high-throughput system for detecting regions of carcinoma of the prostate (CaP) in HSs from radical prostatectomies (RPs) using probabilistic pairwise Markov models (PPMMs), a novel type of Markov random field (MRF). At diagnostic resolution a digitized HS can contain 80K×70K pixels — far too many for current automated Gleason grading algorithms to process. However, grading can be separated into two distinct steps: (1) detecting cancerous regions and (2) then grading these regions. The detection step does not require diagnostic resolution and can be performed much more quickly. Thus, we introduce a CaP detection system capable of analyzing an entire digitized whole-mount HS (2×1.75cm2) in under three minutes (on a desktop computer) while achieving a... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623820 Thu, 29 Apr 2010 23:00:00 +0100 3623820 http://www.medworm.com/index.php?rid=3623815&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000393%2Fabstract%3Frss%3Dyes Abstract: We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov random field (MRF) formulation. Here, the challenge arises from the fact that optimizing the energy associated with this problem requires a high-order MRF model. Currently, methods for optimizing such high-order models are less general, easy to use, and efficient, than methods for the popular second-order models.Therefore, we propose an approximation to the original energy by an MRF with tractable second-order terms. The approximation at a certain point p in the parameter space is the normalized sum of evaluations of the original energy at projections of p to two-dimensional subspaces. We demonstrate the quality of the proposed approximation by computing the cor... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623815 Thu, 29 Apr 2010 23:00:00 +0100 3623815 http://www.medworm.com/index.php?rid=3623814&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS136184151000037X%2Fabstract%3Frss%3Dyes Abstract: Fundus camera imaging of the retina is widely used to diagnose and manage ophthalmologic disorders including diabetic retinopathy, glaucoma, and age-related macular degeneration. Retinal images typically have a limited field of view, and multiple images can be joined together using an image registration technique to form a montage with a larger field of view. A variety of methods for retinal image registration have been proposed, but evaluating such methods objectively is difficult due to the lack of a reference standard for the true alignment of the individual images that make up the montage. A method of generating simulated retinal images by modeling the geometric distortions due to the eye geometry and the image acquisition process is described in this paper. We also present a... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623814 Thu, 29 Apr 2010 23:00:00 +0100 3623814 http://www.medworm.com/index.php?rid=3623816&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000381%2Fabstract%3Frss%3Dyes We present a machine learning approach called shape regression machine (SRM) for efficient segmentation of an anatomic structure that exhibits a deformable shape in a medical image, e.g., left ventricle endocardial wall in an echocardiogram. The SRM achieves efficient segmentation via statistical learning of the interrelations among shape, appearance, and anatomy, which are exemplified by an annotated database. The SRM is a two-stage approach. In the first stage that estimates a rigid shape to solve an automatic initialization problem, it derives a regression solution to object detection that needs just one scan in principle and a sparse set of scans in practice, avoiding the exhaustive scanning required by the state-of-the-art classification-based detection approach while yielding compara... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623816 Thu, 22 Apr 2010 23:00:00 +0100 3623816 http://www.medworm.com/index.php?rid=3459142&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000290%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459142 Mon, 12 Apr 2010 14:38:12 +0100 3459142 http://www.medworm.com/index.php?rid=3623812&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000265%2Fabstract%3Frss%3Dyes We present nonlinear diffusion equations, numerical schemes to solve them and their application for filtering 3D images obtained from laser scanning microscopy (LSM) of living zebrafish embryos, with a goal to identify the optimal filtering method and its parameters. In the large scale applications dealing with analysis of 3D+time embryogenesis images, an important objective is a correct detection of the number and position of cell nuclei yielding the spatio-temporal cell lineage tree of embryogenesis. The filtering is the first and necessary step of the image analysis chain and must lead to correct results, removing the noise, sharpening the nuclei edges and correcting the acquisition errors related to spuriously connected subregions. In this paper we study such properties for the regular... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623812 Sun, 11 Apr 2010 23:00:00 +0100 3623812 http://www.medworm.com/index.php?rid=3623813&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000277%2Fabstract%3Frss%3Dyes Abstract: This paper presents a method for airway tree segmentation that uses a combination of a trained airway appearance model, vessel and airway orientation information, and region growing. We propose a voxel classification approach for the appearance model, which uses a classifier that is trained to differentiate between airway and non-airway voxels. This is in contrast to previous works that use either intensity alone or hand crafted models of airway appearance. We show that the appearance model can be trained with a set of easily acquired, incomplete, airway tree segmentations. A vessel orientation similarity measure is introduced, which indicates how similar the orientation of an airway candidate is to the orientation of the neighboring vessel. We use this vessel orientation similar... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623813 Sun, 28 Mar 2010 23:00:00 +0100 3623813 http://www.medworm.com/index.php?rid=3623811&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000253%2Fabstract%3Frss%3Dyes We present a method for automatically calculating and visualising the CRM distances in colorectal cancer MR images. We use local phase of the monogenic signal calculated from the MR image intensities to find edge and ridge features within the data. A non-parametric mixture model is then used to describe image intensity values within level set framework in order to segment the mesorectal fascia and the corresponding tumour and lymph nodes, as distinct regions. This segmentation is used to provide an automatic analysis of the shortest distance resection margin, and we show that this is consistent with that of the clinically accepted MERCURY method. We use the segmentation to provide a 3D visualisation of where the resection margin is smallest. Finally, we reconstruct a 3D map of the segmente... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623811 Mon, 22 Mar 2010 00:00:00 +0100 3623811 http://www.medworm.com/index.php?rid=3623810&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000241%2Fabstract%3Frss%3Dyes Abstract: In this paper, a new object-based method to estimate noise in magnitude MR images is proposed. The main advantage of this object-based method is its robustness to background artefacts such as ghosting. The proposed method is based on the adaptation of the Median Absolute Deviation (MAD) estimator in the wavelet domain for Rician noise. The MAD is a robust and efficient estimator initially proposed to estimate Gaussian noise. In this work, the adaptation of MAD operator for Rician noise is performed by using only the wavelet coefficients corresponding to the object and by correcting the estimation with an iterative scheme based on the SNR of the image. During the evaluation, a comparison of the proposed method with several state-of-the-art methods is performed. A quantitative vali... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3623810 Mon, 22 Mar 2010 00:00:00 +0100 3623810 http://www.medworm.com/index.php?rid=3459156&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000204%2Fabstract%3Frss%3Dyes Abstract: Real-time three-dimensional (RT3D) echocardiography is a new image acquisition technique that allows instantaneous acquisition of volumetric images for quantitative assessment of cardiac morphology and function. To quantify many important diagnostic parameters, such as ventricular volume, ejection fraction, and cardiac output, an automatic algorithm to delineate the left ventricle (LV) from RT3D echocardiographic images is essential. While a number of efforts have been made towards segmentation of the LV endocardial (ENDO) boundaries, the segmentation of epicardial (EPI) boundaries remains problematic. In this paper, we present a coupled deformable model that addresses this problem. The idea behind our method is that the volume of the myocardium is close to being constant during ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459156 Mon, 15 Mar 2010 00:00:00 +0100 3459156 http://www.medworm.com/index.php?rid=3459155&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000216%2Fabstract%3Frss%3Dyes Abstract: In the clinical workflow for lung cancer management, the comparison of nodules between CT scans from subsequent visits by a patient is necessary for timely classification of pulmonary nodules into benign and malignant and for analyzing nodule growth and response to therapy. The algorithm described in this paper takes (a) two temporally-separated CT scans, and , and (b) a series of nodule locations in , and for each location it produces an affine transformation that maps the locations and their immediate neighborhoods from to . It does this without deformable registration and without initialization by global affine registration. Requiring the nodule locations to be specified in only one volume provides the clinician more flexibility in investigating the condition of the lung. The ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459155 Mon, 15 Mar 2010 00:00:00 +0100 3459155 http://www.medworm.com/index.php?rid=3459145&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS136184151000023X%2Fabstract%3Frss%3Dyes Abstract: Statistical shape analysis techniques have shown to be efficient tools to build population specific models of anatomical variability. Their use is commonplace as prior models for segmentation, in which case the instance from the shape model that best fits the image data is sought. In certain cases, however, it is not just the most likely instance that must be searched, but rather the whole set of shape instances that meet certain criterion. In this paper we develop a method for the assessment of specific anatomical/morphological criteria across the shape variability found in a population. The method is based on a level set segmentation approach, and used on the parametric space of the statistical shape model of the target population, solved via a multi-level narrow-band approach ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459145 Mon, 15 Mar 2010 00:00:00 +0100 3459145 http://www.medworm.com/index.php?rid=3459149&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000228%2Fabstract%3Frss%3Dyes Abstract: In this paper, we analyze Markov Random Field (MRF) as a spatial regularizer in fMRI detection. The low signal-to-noise ratio (SNR) in fMRI images presents a serious challenge for detection algorithms, making regularization necessary to achieve good detection accuracy. Gaussian smoothing, traditionally employed to boost SNR, often produces over-smoothed activation maps. Recently, the use of MRF priors has been suggested as an alternative regularization approach. However, solving for an optimal configuration of the MRF is NP-hard in general. In this work, we investigate fast inference algorithms based on the Mean Field approximation in application to MRF priors for fMRI detection. Furthermore, we propose a novel way to incorporate anatomical information into the MRF-based detectio... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459149 Mon, 08 Mar 2010 00:00:00 +0100 3459149 http://www.medworm.com/index.php?rid=3459147&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000150%2Fabstract%3Frss%3Dyes Abstract: The automatic segmentation of the musculoskeletal system from medical images is a particularly challenging task, due to its morphological complexity, its large variability in the population and its potentially large deformations. In this paper we propose a novel approach for musculoskeletal segmentation and registration based on simplex meshes. Such discrete models have already proven to be efficient and versatile for medical image segmentation. We extend the current framework by introducing a multi-resolution approach and a reversible medial representation, in order to reduce the complexity of geometric and non-penetration constraints computation. Our framework allows both inter and intra-patient registration (involving both rigid and elastic matching). We also show that the int... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459147 Tue, 02 Mar 2010 00:00:00 +0100 3459147 http://www.medworm.com/index.php?rid=3459154&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000198%2Fabstract%3Frss%3Dyes Abstract: Early detection of lung nodules is extremely important for the diagnosis and clinical management of lung cancer. In this paper, a novel computer aided detection (CAD) system for the detection of pulmonary nodules in thoracic computed tomography (CT) imagery is presented. The paper describes the architecture of the CAD system and assesses its performance on a publicly available database to serve as a benchmark for future research efforts. Training and tuning of all modules in our CAD system is done using a separate and independent dataset provided courtesy of the University of Texas Medical Branch (UTMB). The publicly available testing dataset is that created by the Lung Image Database Consortium (LIDC). The LIDC data used here is comprised of 84 CT scans containing 143 nodules ra... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459154 Mon, 22 Feb 2010 00:00:00 +0100 3459154 http://www.medworm.com/index.php?rid=3459153&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000174%2Fabstract%3Frss%3Dyes Abstract: A number of analysis tools have been developed for the estimation of brain atrophy using MRI. Since brain atrophy is being increasingly used as a marker of disease progression in many neuro-degenerative diseases such as Multiple Sclerosis and Alzheimer’s disease, the validation of these tools is an important task. However, this is complex, in the real scenario, due to the absence of gold standards for comparison. In order to create gold standards, we first propose an approach for the realistic simulation of brain tissue loss that relies on the estimation of a topology preserving B-spline based deformation fields. Using these gold standards, an evaluation of the performance of three standard brain atrophy estimation methods (SIENA, SIENAX and BSI-UCD), on the basis of their robu... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459153 Thu, 18 Feb 2010 00:00:00 +0100 3459153 http://www.medworm.com/index.php?rid=3459148&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000186%2Fabstract%3Frss%3Dyes Abstract: Finite Element mesh generation remains an important issue for patient specific biomechanical modeling. While some techniques make automatic mesh generation possible, in most cases, manual mesh generation is preferred for better control over the sub-domain representation, element type, layout and refinement that it provides. Yet, this option is time consuming and not suited for intraoperative situations where model generation and computation time is critical. To overcome this problem we propose a fast and automatic mesh generation technique based on the elastic registration of a generic mesh to the specific target organ in conjunction with element regularity and quality correction. This Mesh-Match-and-Repair (MMRep) approach combines control over the mesh structure along with fast... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459148 Tue, 16 Feb 2010 00:00:00 +0100 3459148 http://www.medworm.com/index.php?rid=3459152&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000162%2Fabstract%3Frss%3Dyes Abstract: This paper describes the automatic Adaptive Disconnection method to segment cerebral and cerebellar hemispheres of human brain in three-dimensional magnetic resonance imaging (MRI). Using the partial differential equations based shape bottlenecks algorithm cooperating with an information potential value clustering process, it detects and cuts, first, the compartmental connections between the cerebrum, the cerebellum and the brainstem in the white matter domain, and then, the interhemispheric connections of the extracted cerebrum and cerebellum volumes. As long as the subject orientation in the scanner is given, the variations in subject location and normal brain morphology in different images are accommodated automatically, thus no stereotaxic image registration is required. The ... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459152 Thu, 11 Feb 2010 00:00:00 +0100 3459152 http://www.medworm.com/index.php?rid=3249719&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000034%2Fabstract%3Frss%3Dyes (Source: Medical Image Analysis) Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3249719 Mon, 08 Feb 2010 15:34:46 +0100 3249719 http://www.medworm.com/index.php?rid=3459151&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000149%2Fabstract%3Frss%3Dyes Abstract: In this paper, we propose a novel automated pipeline for extraction of sulcal fundi from triangulated cortical surfaces. This method consists of four consecutive steps. Firstly, we adopt a finite difference method to estimate principal curvatures, principal directions and curvature derivatives, along the principal directions, for each vertex. Then, we detect the sulcal fundi segment in each triangle of the cortical surface based on curvatures and curvature derivatives. Afterwards, we link the sulcal fundi segments into continuous curves. Finally, we connect breaking sulcal fundi and smooth bumping sulcal fundi by using the fast marching method on the cortical surface. The proposed method can find the accurate sulcal fundi using curvatures and curvature derivatives without any man... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459151 Mon, 08 Feb 2010 00:00:00 +0100 3459151 http://www.medworm.com/index.php?rid=3459150&cid=s_38553_37_f&fid=38553&url=http%3A%2F%2Fwww.radiologysource.org%2Fperiodicals%2Fmedima%2Farticle%2FPIIS1361841510000113%2Fabstract%3Frss%3Dyes Abstract: The choice of local HARDI reconstruction technique is crucial for discerning multiple fiber orientations, which is itself of substantial importance for tractography, and reliable and accurate assessment of white matter fiber geometry. Due to the complexity of the diffusion process and its milieu, distinct diffusion compartments can have different frequency signatures, making the HARDI signal spread over multiple frequency bands. Therefore, we put forth the idea of multiscale analysis with localized basis functions, ensuring that different frequency ranges are probed. With the aim of truthful recovery of fiber orientations, we reconstruct the orientation distribution function (ODF), by incorporating a spherical wavelet transform (SWT) into the Funk–Radon transform. First, we app... Medical Image Analysis journals http://www.medworm.com/rss/comments.php?id=3459150 Mon, 01 Feb 2010 00:00:00 +0100 3459150