Medical Image AnalysisThis is an RSS file. You can use it to subscribe to this data in your favourite RSS reader, such as GoogleReader, or to display this data on your own website or blog. Subscribe to this data using MyMedWorm.Subscribe to this data using GoogleReader.Subscribe to this data using Bloglines.Subscribe to this data using MyYahoo.

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IFC (Editorial board)Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Medical Image Analysis)
Source: Medical Image Analysis - October 30, 2009 Category: Radiology Source Type: journals

Addendum to “Sequential anisotropic multichannel Wiener filtering with Rician bias correction applied to 3D regularization of DWI data” [Medical Image Analysis 13 (2009) 19–35]Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
By means of this addendum we would like to give credit to an important work by closely related to one of the results of our paper recently published in this journal (). A key point in the implementation of the filtering approach proposed in is the inversion of the function given by Eq. (B.11). While the expression for was derived previously by the authors , an efficient solution for computing from B was presented independently by . Handling this function is an important component of the method we describe in , therefore, the above-mentioned paper should have been referred. (Source: Medical Image Analysis)
Source: Medical Image Analysis - September 22, 2009 Category: Radiology Authors: M. Martin-Fernandez, E. Muñoz-Moreno, L. Cammoun, J.-P. Thiran, C.-F. Westin, C. Alberola-López Tags: Addendum Source Type: journals

Fast detection of the optic disc and fovea in color fundus photographsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: A fully automated, fast method to detect the fovea and the optic disc in digital color photographs of the retina is presented. The method makes few assumptions about the location of both structures in the image. We define the problem of localizing structures in a retinal image as a regression problem. A kNN regressor is utilized to predict the distance in pixels in the image to the object of interest at any given location in the image based on a set of features measured at that location. The method combines cues measured directly in the image with cues derived from a segmentation of the retinal vasculature. A dis...
Source: Medical Image Analysis - September 7, 2009 Category: Radiology Authors: Meindert Niemeijer, Michael D. Abràmoff, Bram van Ginneken Tags: Regular Papers Source Type: journals

Image intensity normalisation by maximising the Siddon line integral in the joint intensity distribution spaceEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: This paper presents a novel data-driven method for image intensity normalisation, which is a prerequisite step for any kind of image comparison. The method involves a novel application of the Siddon algorithm that was developed initially for fast reconstruction of tomographic images and is based on a linear normalisation model with either one or two parameters. The latter are estimated by maximising the line integral, computed using the Siddon algorithm, in the 2D joint intensity distribution space of image pairs. The proposed normalisation method, referred to as Siddon Line Integral Maximisation (SLIM), was comp...
Source: Medical Image Analysis - September 3, 2009 Category: Radiology Authors: A. Kalemis, D.M. Binnie, M.A. Flower, R.J. Ott Tags: Regular Papers Source Type: journals

EditorialEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The 11th International Conference on Medical Imaging and Computer Assisted Intervention, MICCAI 2008, was held at the Helen and Martin Kimmel Center of New York University, New York City, USA from 6th September to 10th September 2008. A record number of over 1000 people attended the conference and the workshops. MICCAI is the premier international conference in this domain, with in depth papers on the multidisciplinary fields of biomedical image computing and analysis, computer assisted intervention and medical robotics. The conference brings together biological scientists, clinicians, computer scientists, engineers, mathe...
Source: Medical Image Analysis - August 27, 2009 Category: Radiology Authors: Dimitris N. Metaxas, Leon Axel Tags: Special Section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention Source Type: journals

IFC (Editorial board)Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Medical Image Analysis)
Source: Medical Image Analysis - August 27, 2009 Category: Radiology Source Type: journals

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Vascular diseases are among the most important public health problems in developed countries. Given the size and complexity of modern angiographic acquisitions, segmentation is a key step toward the accurate visualization, diagnosis and quantification of vascular pathologies.Despite the tremendous amount of past and on-going dedicated research, vascular segmentation remains a challenging task. In this paper, we review state-of-the-art literature on vascular segmentation, with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA). We structure our analysis along three axes: models, features a...
Source: Medical Image Analysis - August 13, 2009 Category: Radiology Authors: David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea Tags: Regular Papers Source Type: journals

Automatic generation of 3D coronary artery centerlines using rotational X-ray angiographyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: A fully automated 3D centerline modeling algorithm for coronary arteries is presented. It utilizes a subset of standard rotational X-ray angiography projections that correspond to one single cardiac phase. The algorithm is based on a fast marching approach, which selects voxels in 3D space that belong to the vascular structure and introduces a hierarchical order. The local 3D propagation speed is determined by a combination of corresponding 2D projections filtered with a vessel enhancing kernel.The best achievable accuracy of the algorithm is evaluated on simulated projections of a virtual heart phantom, showing ...
Source: Medical Image Analysis - August 3, 2009 Category: Radiology Authors: Uwe Jandt, Dirk Schäfer, Michael Grass, Volker Rasche Tags: Regular Papers Source Type: journals

Automatic segmentation of the liver from multi- and single-phase contrast-enhanced CT imagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Segmentation of contrast-enhanced abdominal CT images is required by many clinical applications of computer aided diagnosis and therapy planning. The research on automated methods involves different organs among which the liver is the most emphasized. In the current clinical practice more images (at different phases) are acquired from the region of interest in case of a contrast-enhanced abdominal CT examination. The majority of the existing methods, however, use only the portal-venous image to segment the liver. This paper presents a method that automatically segments the liver by combining more phases of the co...
Source: Medical Image Analysis - July 24, 2009 Category: Radiology Authors: László Ruskó, György Bekes, Márta Fidrich Tags: Regular Papers Source Type: journals

Statistical models of sets of curves and surfaces based on currentsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Computing, visualizing and interpreting statistics on shapes like curves or surfaces is a real challenge with many applications ranging from medical image analysis to computer graphics. Modeling such geometrical primitives with currents avoids to base the comparison between primitives either on a selection of geometrical measures (like length, area or curvature) or on the assumption of point-correspondence. This framework has been used relevantly to register brain surfaces or to measure geometrical invariants. However, while the state-of-the-art methods efficiently perform pairwise registrations, new numerical sc...
Source: Medical Image Analysis - July 20, 2009 Category: Radiology Authors: Stanley Durrleman, Xavier Pennec, Alain Trouvé, Nicholas Ayache Tags: Special Section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention Source Type: journals

Projection-based motion compensation and reconstruction of coronary segments and cardiac implantable devices using rotational X-ray angiographyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Cardiologists use two-dimensional projection images in conventional X-ray coronary angiography for the assessment of three-dimensional structures. During minimally invasive interventions there is a need to clearly visualize and analyze contrast filled coronary arteries, surrounding tissue, and implanted devices. Three-dimensional reconstruction of these structures is challenging due to the cardiac and respiratory motion. In this paper we describe a method to automatically generate motion compensated reconstructions of various structures using rotational X-ray angiography.The method uses markers on a device or gui...
Source: Medical Image Analysis - July 20, 2009 Category: Radiology Authors: Gert Schoonenberg, Raoul Florent, Pierre Lelong, Onno Wink, Daniel Ruijters, John Carroll, Bart ter Haar Romeny Tags: Special Section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention Source Type: journals

Constrained non-rigid registration for use in image-guided adaptive radiotherapyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: A constrained non-rigid registration (CNRR) algorithm for use in prostate image-guided adaptive radiotherapy is presented in a coherent mathematical framework. The registration algorithm is based on a global rigid transformation combined with a series of local injective non-rigid multi-resolution cubic B-spline Free Form Deformation (FFD) transformations. The control points of the FFD are used to non-rigidly constrain the transformation to the prostate, rectum, and bladder. As well, the control points are used to rigidly constrain the transformation to the estimated position of the pelvis, left femur, and right f...
Source: Medical Image Analysis - July 16, 2009 Category: Radiology Authors: W.H. Greene, S. Chelikani, K. Purushothaman, J.P.S. Knisely, Z. Chen, X. Papademetris, L.H. Staib, J.S. Duncan Tags: Special Section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention Source Type: journals

Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and functionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: The majority of patients with clinically diagnosed heart failure have normal systolic pump function and are commonly categorized as suffering from diastolic heart failure. The left ventricle (LV) remodels its structure and function to adapt to pathophysiological changes in geometry and loading conditions, which in turn can alter the passive ventricular mechanics. In order to better understand passive ventricular mechanics, a LV finite element (FE) model was customized to geometric data segmented from in vivo tagged magnetic resonance images (MRI) data and myofibre orientation derived from ex vivo diffusion tensor...
Source: Medical Image Analysis - July 16, 2009 Category: Radiology Authors: Vicky Y. Wang, H.I. Lam, Daniel B. Ennis, Brett R. Cowan, Alistair A. Young, Martyn P. Nash Tags: Special Section on the 12th International Conference on Medical Imaging and Computer Assisted Intervention Source Type: journals

IFC (Editorial board)Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Medical Image Analysis)
Source: Medical Image Analysis - July 16, 2009 Category: Radiology Source Type: journals

Efficient and robust computation of PDF features from diffusion MR signalEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We present a method for the estimation of various features of the tissue micro-architecture using the diffusion magnetic resonance imaging. The considered features are designed from the displacement probability density function (PDF). The estimation is based on two steps: first the approximation of the signal by a series expansion made of Gaussian–Laguerre and Spherical Harmonics functions; followed by a projection on a finite dimensional space. Besides, we propose to tackle the problem of the robustness to Rician noise corrupting in-vivo acquisitions. Our feature estimation is expressed as a variational minimization pro...
Source: Medical Image Analysis - July 13, 2009 Category: Radiology Authors: Haz-Edine Assemlal, David Tschumperlé, Luc Brun Tags: Regular Papers Source Type: journals

A large-scale evaluation of automatic pulmonary nodule detection in chest CT using local image features and k-nearest-neighbour classificationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: A scheme for the automatic detection of nodules in thoracic computed tomography scans is presented and extensively evaluated. The algorithm uses the local image features of shape index and curvedness in order to detect candidate structures in the lung volume and applies two successive k-nearest-neighbour classifiers in the reduction of false-positives.The nodule detection system is trained and tested on three databases extracted from a large-scale experimental screening study. The databases are constructed in order to evaluate the algorithm on both randomly chosen screening data as well as data containing higher ...
Source: Medical Image Analysis - July 12, 2009 Category: Radiology Authors: K. Murphy, B. van Ginneken, A.M.R. Schilham, B.J. de Hoop, H.A. Gietema, M. Prokop Tags: Regular Papers Source Type: journals

Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian–Eulerian PDE approach using partial volume mapsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases. Many approaches have been previously proposed, which can be broadly categorised as mesh-based and voxel-based. While the mesh-based approaches can potentially achieve subvoxel resolution, they usually lack the computational efficiency needed for clinical applications and large database studies. In contrast, voxel-based approaches, are computationally efficient, but lack accuracy. The aim of this paper is to propose a novel voxel-based method based upon the Laplacian definition of thickness that is both accurate a...
Source: Medical Image Analysis - July 12, 2009 Category: Radiology Authors: Oscar Acosta, Pierrick Bourgeat, Maria A. Zuluaga, Jurgen Fripp, Olivier Salvado, Sébastien Ourselin, Alzheimer’s Disease Neuroimaging Initiative Tags: Regular Papers Source Type: journals

Data assimilation using a gradient descent method for estimation of intraoperative brain deformationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Biomechanical models that simulate brain deformation are gaining attention as alternatives for brain shift compensation. One approach, known as the “forced-displacement method”, constrains the model to exactly match the measured data through boundary condition (BC) assignment. Although it improves model estimates and is computationally attractive, the method generates fictitious forces and may be ill-advised due to measurement uncertainty. Previously, we have shown that by assimilating intraoperatively acquired brain displacements in an inversion scheme, the Representer algorithm (REP) is able to maintain str...
Source: Medical Image Analysis - July 9, 2009 Category: Radiology Authors: Songbai Ji, Alex Hartov, David Roberts, Keith Paulsen Tags: Regular Papers Source Type: journals

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithmsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Efficiently obtaining a reliable coronary artery centerline from computed tomography angiography data is relevant in clinical practice. Whereas numerous methods have been presented for this purpose, up to now no standardized evaluation methodology has been published to reliably evaluate and compare the performance of the existing or newly developed coronary artery centerline extraction algorithms. This paper describes a standardized evaluation methodology and reference database for the quantitative evaluation of coronary artery centerline extraction algorithms. The contribution of this work is fourfold: (1) a met...
Source: Medical Image Analysis - June 30, 2009 Category: Radiology Authors: Michiel Schaap, Coert T. Metz, Theo van Walsum, Alina G. van der Giessen, Annick C. Weustink, Nico R. Mollet, Christian Bauer, Hrvoje Bogunović, Carlos Castro, Xiang Deng, Engin Dikici, Thomas O’Donnell, Michel Frenay, Ola Friman, Marcela Hernández Ho Tags: Regular Papers Source Type: journals

Comparing registration methods for mapping brain change using tensor-based morphometryEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Measures of brain changes can be computed from sequential MRI scans, providing valuable information on disease progression for neuroscientific studies and clinical trials. Tensor-based morphometry (TBM) creates maps of these brain changes, visualizing the 3D profile and rates of tissue growth or atrophy. In this paper, we examine the power of different nonrigid registration models to detect changes in TBM, and their stability when no real changes are present. Specifically, we investigate an asymmetric version of a recently proposed Unbiased registration method, using mutual information as the matching criterion. ...
Source: Medical Image Analysis - June 24, 2009 Category: Radiology Authors: Igor Yanovsky, Alex D. Leow, Suh Lee, Stanley J. Osher, Paul M. Thompson Tags: Regular Papers Source Type: journals

Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation setsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Diffusion MRI has become an established research tool for the investigation of tissue structure and orientation. Since its inception, Diffusion MRI has expanded considerably to include a number of variations such as diffusion tensor imaging (DTI), diffusion spectrum imaging (DSI) and Q-ball imaging (QBI). The acquisition and analysis of such data is very challenging due to its complexity. Recently, an exciting new Kalman filtering framework has been proposed for DTI and QBI reconstructions in real-time during the repetition time (TR) of the acquisition sequence. In this article, we first revisit and thoroughly an...
Source: Medical Image Analysis - June 14, 2009 Category: Radiology Authors: Rachid Deriche, Jeff Calder, Maxime Descoteaux Source Type: journals

Selective image similarity measure for bronchoscope tracking based on image registrationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: We propose a selective method of measurement for computing image similarities based on characteristic structure extraction and demonstrate its application to flexible endoscope navigation, in particular to a bronchoscope navigation system. Camera motion tracking is a fundamental function required for image-guided treatment or therapy systems. In recent years, an ultra-tiny electromagnetic sensor commercially became available, and many image-guided treatment or therapy systems use this sensor for tracking the camera position and orientation. However, due to space limitations, it is difficult to equip the tip of a ...
Source: Medical Image Analysis - June 9, 2009 Category: Radiology Authors: Daisuke Deguchi, Kensaku Mori, Marco Feuerstein, Takayuki Kitasaka, Calvin R. Maurer, Yasuhito Suenaga, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori Source Type: journals

Brain–skull contact boundary conditions in an inverse computational deformation modelEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
In this study, we extend the application of a brain–skull contact BC by incorporating it into an inversion estimation scheme for the deformation field using the steepest gradient descent (SGD) framework. The technique allows parenchymal surface motion normal to the skull while maintaining stress-free BCs at the craniotomy and minimizing the effect of measurement noise. Application of the algorithm in five clinical cases using sparse data generated at the tumor boundary confirms the significance of brain–skull BCs in the model response. Specifically, the results demonstrate that the contact BC enhances model flexibility...
Source: Medical Image Analysis - June 3, 2009 Category: Radiology Authors: Songbai Ji, David W. Roberts, Alex Hartov, Keith D. Paulsen Source Type: journals

SNR enhancement of highly-accelerated real-time cardiac MRI acquisitions based on non-local means algorithmEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Real-time cardiac MRI appears as a promising technique to evaluate the mechanical function of the heart. However, ultra-fast MRI acquisitions come with an important signal-to-noise ratio (SNR) penalty, which drastically reduces the image quality. Hence, a real-time denoising approach would be desirable for SNR amelioration. In the clinical context of cardiac dysfunction assessment, long acquisitions are required and for most patients the acquisition takes place with free breathing. Hence, it is necessary to compensate respiratory motion in real-time.In this article, a real-time and interactive method for sequenti...
Source: Medical Image Analysis - May 31, 2009 Category: Radiology Authors: Benoît Naegel, Alexandru Cernicanu, Jean-Noël Hyacinthe, Maurizio Tognolini, Jean-Paul Vallée Source Type: journals

Retinal image analysis based on mixture models to detect hard exudatesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
In this study, an automatic method to detect hard exudates is proposed. The algorithm is based on mixture models to dynamically threshold the images in order to separate exudates from background. A postprocessing technique, based on edge detection, is applied to distinguish hard exudates from cotton wool spots and other artefacts. We prospectively assessed the algorithm performance using a database of 80 retinal images with variable colour, brightness, and quality. The algorithm obtained a sensitivity of 90.2% and a positive predictive value of 96.8% using a lesion-based criterion. The image-based classification accuracy i...
Source: Medical Image Analysis - May 28, 2009 Category: Radiology Authors: Clara I. Sánchez, María García, Agustín Mayo, María I. López, Roberto Hornero Source Type: journals

Statistical shape models for 3D medical image segmentation: A reviewEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images. While 2D models have been in use since the early 1990s, wide-spread utilization of three-dimensional models appeared only in recent years, primarily made possible by breakthroughs in automatic detection of shape correspondences. In this article, we review the techniques required to create and employ these 3D SSMs. While we concentrate on landmark-based shape representations and thoroughly examine the most popular variants of Active Shape and Active Appearance models, we also describe several al...
Source: Medical Image Analysis - May 27, 2009 Category: Radiology Authors: Tobias Heimann, Hans-Peter Meinzer Source Type: journals

Fractal and multifractal analysis: A reviewEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This article presents an overview of these algorithms, the way they work, their benefits and their limits. The aim of this review is to explain and to categorize the various algorithms into groups and their application in the field of medical signal analysis. (Source: Medical Image Analysis)
Source: Medical Image Analysis - May 26, 2009 Category: Radiology Authors: R. Lopes, N. Betrouni Source Type: journals

Sampling the spatial patterns of cancer: Optimized biopsy procedures for estimating prostate cancer volume and Gleason ScoreEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Prostate biopsy is the current gold-standard procedure for prostate cancer diagnosis. Existing prostate biopsy procedures have been mostly focusing on detecting cancer presence. However, they often ignore the potential use of biopsy to estimate cancer volume (CV) and Gleason Score (GS, a cancer grade descriptor), the two surrogate markers for cancer aggressiveness and the two crucial factors for treatment planning. To fill up this vacancy, this paper assumes and demonstrates that, by optimally sampling the spatial patterns of cancer, biopsy procedures can be specifically designed for estimating CV and GS. Our app...
Source: Medical Image Analysis - May 24, 2009 Category: Radiology Authors: Yangming Ou, Dinggang Shen, Jianchao Zeng, Leon Sun, Judd Moul, Christos Davatzikos Source Type: journals

Using Perturbation theory to reduce noise in diffusion tensor fieldsEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: We propose the use of Perturbation theory to reduce noise in Diffusion Tensor (DT) fields. Diffusion Tensor Imaging (DTI) encodes the diffusion of water molecules along different spatial directions in a positive definite, symmetric tensor. Eigenvectors and eigenvalues of DTs allow the in vivo visualization and quantitative analysis of white matter fiber bundles across the brain. The validity and reliability of these analyses are limited, however, by the low spatial resolution and low Signal-to-Noise Ratio (SNR) in DTI datasets. Our procedures can be applied to improve the validity and reliability of these quantit...
Source: Medical Image Analysis - May 17, 2009 Category: Radiology Authors: Ravi Bansal, Lawrence H. Staib, Dongrong Xu, Andrew F. Laine, Jun Liu, Bradley S. Peterson Source Type: journals

IFC (Editorial board)Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Medical Image Analysis)
Source: Medical Image Analysis - May 7, 2009 Category: Radiology Source Type: journals

In vivo measurement of human brain elasticity using a light aspiration deviceEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: The brain deformation that occurs during neurosurgery is a serious issue impacting the patient “safety” as well as the invasiveness of the brain surgery. Model-driven compensation is a realistic and efficient solution to solve this problem. However, a vital issue is the lack of reliable and easily obtainable patient-specific mechanical characteristics of the brain which, according to clinicians’ experience, can vary considerably. We designed an aspiration device that is able to meet the very rigorous sterilization and handling process imposed during surgery, and especially neurosurgery. The device, which ha...
Source: Medical Image Analysis - April 12, 2009 Category: Radiology Authors: P. Schiavone, F. Chassat, T. Boudou, E. Promayon, F. Valdivia, Y. Payan Source Type: journals

Fusion of optical imaging and MRI for the evaluation and adjustment of macroscopic models of cardiac electrophysiology: A feasibility studyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: The aim of this work was to demonstrate the correspondence between a macroscopic 3D computer model of electrophysiology (i.e., the Aliev–Panfilov model) parametrized with MR data and experimental characterization of action potential propagation in large porcine hearts, ex vivo, using optical methods (based on voltage-sensitive fluorescence). A secondary goal was to use one of these studies to demonstrate an optimized method for regional adjustment of critical model parameters (i.e., adjustment of the local conductivity from the isochronal maps obtained via optical images). There was good agreement between model...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Mihaela Pop, Maxime Sermesant, Damien Lepiller, Michael V. Truong, Elliot R. McVeigh, Eugene Crystal, Alexander Dick, Herve Delingette, Nicholas Ayache, Graham A. Wright Tags: Special issue: Functional imaging and modelling of the heart Source Type: journals

Effects of biventricular pacing and scar size in a computational model of the failing heart with left bundle branch blockEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Conclusions: The model results suggest that uniformity of mechanical contraction in non-scarred regions in the failing heart during biventricular pacing is independent of scar size for a fixed pacing site. (Source: Medical Image Analysis)
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Roy C.P. Kerckhoffs, Andrew D. McCulloch, Jeffrey H. Omens, Lawrence J. Mulligan Tags: Special issue: Functional imaging and modelling of the heart Source Type: journals

Strain measurement in the left ventricle during systole with deformable image registrationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
In conclusion, Hyperelastic Warping provides a unique alternative for quantifying regional LV deformation during systole without the need for tags. (Source: Medical Image Analysis)
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Nikhil S. Phatak, Steve A. Maas, Alexander I. Veress, Nathan A. Pack, Edward V.R. Di Bella, Jeffrey A. Weiss Tags: Special issue: Functional imaging and modelling of the heart Source Type: journals

Computational analysis of the myocardial structure: Adaptation of cardiac myofiber orientations through deformationEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Deformation and structure of the cardiac wall can be assessed non-invasively by imaging techniques such as magnetic resonance imaging. Understanding the (patho-)physiology that underlies the observed deformation and structure is critical for clinical diagnosis. However, much about the genesis of deformation and structure is unknown. In the present computational model study, we hypothesize that myofibers locally adapt their orientation to achieve minimal fiber-cross fiber shear strain during the cardiac cycle. This hypothesis was tested in a 3D finite element model of left ventricular (LV) mechanics by computation...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Wilco Kroon, Tammo Delhaas, Peter Bovendeerd, Theo Arts Tags: Special issue: Functional imaging and modelling of the heart Source Type: journals

Special issue: Functional imaging and modelling of the heartEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
This special issue of Medical Image Analysis presents modelling studies of cardiac anatomy and physiology. The studies represent a selection from scientific research introduced at the Fourth International Conference on Functional Imaging and Modelling of the Heart (FIMH). The conference was held on the 7th to 9th of June 2007 at the University of Utah, Salt Lake City, Utah, USA. The FIMH proceedings consist of 48 peer reviewed full articles (). The 29 oral and 28 poster presentations made the FIMH conference a major event for those interested in cardiac modelling, imaging, and image processing. More than 120 participants f...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Frank B. Sachse, G. Seemann Tags: Special issue: Functional imaging and modelling of the heart Source Type: journals

Deterministic and probabilistic approaches for tracking virus particles in time-lapse fluorescence microscopy image sequencesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We describe approaches based on a mixture of particle filters and based on independent particle filters. For the latter, we have developed a penalization strategy that prevents the problem of filter coalescence (merging) in cases where objects lie in close proximity. A quantitative comparison based on synthetic image sequences is carried out to evaluate the performance of our approaches. In total, eight different tracking approaches have been evaluated. We have also applied these approaches to real microscopy images of HIV-1 particles and have compared the tracking results with ground truth obtained from manual tracking. I...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: W.J. Godinez, M. Lampe, S. Wörz, B. Müller, R. Eils, K. Rohr Tags: Regular Papers Source Type: journals

A model of deformable rings for interpretation of wireless capsule endoscopic videosEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Wireless Capsule Endoscopy (WCE) provides a means to obtain a detailed video of the small intestine. A single session with WCE may produce nearly 8h of video. Its interpretation is tedious task, which requires considerable expertise and is very stressful. The Model of Deformable Rings (MDR) was developed to preprocess WCE video and aid clinicians with its interpretation. The MDR uses a simplified model of a capsule’s motion to flexibly match (register) consecutive video frames. Essentially, it computes motion-descriptive characteristics and produces a two-dimensional representation of the gastrointestinal (GI) ...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Piotr M. Szczypiński, Ram D. Sriram, Parupudi V.J. Sriram, D. Nageshwar Reddy Tags: Regular Papers Source Type: journals

Simulation of brain tumors in MR images for evaluation of segmentation efficacyEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Obtaining validation data and comparison metrics for segmentation of magnetic resonance images (MRI) are difficult tasks due to the lack of reliable ground truth. This problem is even more evident for images presenting pathology, which can both alter tissue appearance through infiltration and cause geometric distortions. Systems for generating synthetic images with user-defined degradation by noise and intensity inhomogeneity offer the possibility for testing and comparison of segmentation methods. Such systems do not yet offer simulation of sufficiently realistic looking pathology. This paper presents a system t...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Marcel Prastawa, Elizabeth Bullitt, Guido Gerig Tags: Regular Papers Source Type: journals

A quality-guided displacement tracking algorithm for ultrasonic elasticity imagingEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Displacement estimation is a key step in the evaluation of tissue elasticity by quasistatic strain imaging. An efficient approach may incorporate a tracking strategy whereby each estimate is initially obtained from its neighbours’ displacements and then refined through a localized search. This increases the accuracy and reduces the computational expense compared with exhaustive search. However, simple tracking strategies fail when the target displacement map exhibits complex structure. For example, there may be discontinuities and regions of indeterminate displacement caused by decorrelation between the pre- an...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Lujie Chen, Graham M. Treece, Joel E. Lindop, Andrew H. Gee, Richard W. Prager Tags: Regular Papers Source Type: journals

A fast, model-independent method for cerebral cortical thickness estimation using MRIEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Several algorithms for measuring the cortical thickness in the human brain from MR image volumes have been described in the literature, the majority of which rely on fitting deformable models to the inner and outer cortical surfaces. However, the constraints applied during the model fitting process in order to enforce spherical topology and to fit the outer cortical surface in narrow sulci, where the cerebrospinal fluid (CSF) channel may be obscured by partial voluming, may introduce bias in some circumstances, and greatly increase the processor time required.In this paper we describe an alternative, voxel based ...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: M.L.J. Scott, P.A. Bromiley, N.A. Thacker, C.E. Hutchinson, A. Jackson Tags: Regular Papers Source Type: journals

Phase unwrapping of MR images using ΦUN – A fast and robust region growing algorithmEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
We present a fully automated phase unwrapping algorithm (ΦUN) which is optimized for high-resolution magnetic resonance imaging data. The algorithm is a region growing method and uses separate quality maps for seed finding and unwrapping which are retrieved from the full complex information of the data. We compared our algorithm with an established method in various phantom and in vivo data and found a very good agreement between the results of both techniques. ΦUN, however, was significantly faster at low signal to noise ratio (SNR) and data with a more complex phase topography, making it particularly suitable for appli...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Stephan Witoszynskyj, Alexander Rauscher, Jürgen R. Reichenbach, Markus Barth Tags: Regular Papers Source Type: journals

VS: A surface-based system for topological analysis, quantization and visualization of voxel dataEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: VS is a simple system consisting of several techniques for various volumetric problems. Based on the marching cubes algorithm, it operates with one space sweep through the voxels and extracts all topological information: detection of all isosurfaces, partitioning the data into connected components on the basis of surface connectivity, and association of surfaces with any internal surfaces to arbitrary levels of nesting. VS extends Baker’s “Weaving Wall” method by associating topological cavities with their outer surface, and by using efficient data structures for the voxel traversal and for the connected co...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Itay Cohen, Dan Gordon Tags: Regular Papers Source Type: journals

On modelling of anisotropic viscoelasticity for soft tissue simulation: Numerical solution and GPU executionEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Efficient and accurate techniques for simulation of soft tissue deformation are an increasingly valuable tool in many areas of medical image computing, such as biomechanically-driven image registration and interactive surgical simulation. For reasons of efficiency most analyses are based on simplified linear formulations, and previously almost all have ignored well established features of tissue mechanical response such as anisotropy and time-dependence. We address these latter issues by firstly presenting a generalised anisotropic viscoelastic constitutive framework for soft tissues, particular cases of which ha...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Z.A. Taylor, O. Comas, M. Cheng, J. Passenger, D.J. Hawkes, D. Atkinson, S. Ourselin Tags: Regular Papers Source Type: journals

Calculation of the confidence intervals for transformation parameters in the registration of medical imagesEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Images from different individuals typically cannot be registered precisely because anatomical features within the images differ across the people imaged and because the current methods for image registration have inherent technological limitations that interfere with perfect registration. Quantifying the inevitable error in image registration is therefore of crucial importance in assessing the effects that image misregistration may have on subsequent analyses in an imaging study. We have developed a mathematical framework for quantifying errors in registration by computing the confidence intervals of the estimate...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Ravi Bansal, Lawrence H. Staib, Andrew F. Laine, Dongrong Xu, Jun Liu, Lainie F. Posecion, Bradley S. Peterson Tags: Regular Papers Source Type: journals

Depth potential function for folding pattern representation, registration and analysisEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: Some surfaces present folding patterns formed by juxtapositions of ridges and valleys as, for example, the cortical surface of the human brain. The fundamental problem with ridges is to find a correspondence among and analyze the variability among them. Many techniques to achieve these goals exist but use scalar functions. Depth maps are used to efficiently project the geometry of folds into a scalar function in the case where a natural projection plane exists. However, in most cases of curved surfaces, there is no natural projection plane to represent folding patterns.This paper studies the problem of shape matc...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Maxime Boucher, Sue Whitesides, Alan Evans Tags: Regular Papers Source Type: journals

A modified fuzzy C-means classification method using a multiscale diffusion filtering schemeEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
The objective function of the conventional fuzzy C-means (FCM) method is modified to allow multiscale classification processing where the result from a coarse scale supervises the classification in the next fine scale. The method is robust for noise and low-contrast MR images because of its multiscale diffusion filtering scheme. The new method was compared with the conventional FCM method and a modified FCM (MFCM) method. Validation studies were performed on synthesized images with various contrasts and on the McGill brain MR image database. Our MsFCM method consistently performed better than the conventional FCM and MFCM ...
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Authors: Hesheng Wang, Baowei Fei Tags: Regular Papers Source Type: journals

Reviewers- an acknowledgementEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Medical Image Analysis)
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Source Type: journals

IFC (Editorial board)Email this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
(Source: Medical Image Analysis)
Source: Medical Image Analysis - April 1, 2009 Category: Radiology Source Type: journals

Atlas-based segmentation of 3D cerebral structures with competitive level sets and fuzzy controlEmail this article to a colleague. Save this article to My Clippings. Discuss or comment on this article.
Abstract: We propose a novel approach for the simultaneous segmentation of multiple structures with competitive level sets driven by fuzzy control. To this end, several contours evolve simultaneously toward previously defined anatomical targets. A fuzzy decision system combines the a priori knowledge provided by an anatomical atlas with the intensity distribution of the image and the relative position of the contours. This combination automatically determines the directional term of the evolution equation of each level set. This leads to a local expansion or contraction of the contours, in order to match the boundaries of ...
Source: Medical Image Analysis - March 12, 2009 Category: Radiology Authors: Cybèle Ciofolo, Christian Barillot Source Type: journals