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Enhancing Multiple Sclerosis Lesion Segmentation In Mri Images


Enhancing Multiple Sclerosis Lesion Segmentation In Mri Images
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Enhancing Multiple Sclerosis Lesion Segmentation In Mri Images


Enhancing Multiple Sclerosis Lesion Segmentation In Mri Images
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Author : Daniel Biediger
language : en
Publisher:
Release Date : 2012

Enhancing Multiple Sclerosis Lesion Segmentation In Mri Images written by Daniel Biediger and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computer science categories.


Multiple sclerosis (MS) is an autoimmune disease of the central nervous system that causes damage to the insulating myelin sheaths around the axons in the brain. It affects over 2.5 million people world-wide. The disease progresses at different rates in different people and can have periods of remission and relapse. A fast and accurate method for evaluating the number and size of MS lesions in the brain is a key component in evaluating the progress of the disease and the efficacy of treatments. MS lesion segmentation usually requires the expertise of a trained physician. Manual segmentation is slow and difficult and the results can be somewhat subjective. While many automated methods exist, they do not provide sufficiently accurate segmentation results. There exists a need for a robust, fast, and accurate method for automatically segmenting MS lesions. This thesis presents the results of an effort to improve the segmentation results of an existing system for lesion segmentation in MRI images. It includes two different strategies to improve the segmentation results by addressing opportunities missed in the existing approach. The first strategy leverages the current processing system at a granularity finer than the whole-brain to detect lesions at a local level. The existing system makes global estimates on the tissue intensities. Because these intensities vary across the brain, the global assumption provides inaccurate estimates in some cases. The first improvement combines a series of local results to produce a whole-brain lesion segmentation. This approach better captures the local lesion properties and produces encouraging results, with a general improvement in the detection rate of lesions. The second method looks at the individual voxel level and the local intensity neighborhood. As a post-processing method, it selects seed points from the results of the previous step. It uses a region growing method based on cellular automata to expand the lesion areas based on a local neighborhood similarity in intensity. While it provides some benefit, it is sensitive to initial conditions and the results depend on the implementation details.



Segmentation Of Multiple Sclerosis Lesions In Brain Mri


Segmentation Of Multiple Sclerosis Lesions In Brain Mri
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Author : Bassem A Abdullah
language : en
Publisher:
Release Date : 2012

Segmentation Of Multiple Sclerosis Lesions In Brain Mri written by Bassem A Abdullah and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.


Multiple Sclerosis (MS) is an autoimmune disease of central nervous system. It may result in a variety of symptoms from blurred vision to severe muscle weakness and degradation, depending on the affected regions in brain. To better understand this disease and to quantify its evolution, magnetic resonance imaging (MRI) is increasingly used nowadays. Manual delineation of MS lesions in MR images by human expert is time-consuming, subjective, and prone to inter-expert variability. Therefore, automatic segmentation is needed as an alternative to manual segmentation. However, the progression of the MS lesions shows considerable variability and MS lesions present temporal changes in shape, location, and area between patients and even for the same patient, which renders the automatic segmentation of MS lesions a challenging problem. In this dissertation, a set of segmentation pipelines are proposed for automatic segmentation of multiple sclerosis (MS) lesions from brain magnetic resonance imaging (MRI) data. These techniques use a trained support vector machine (SVM) to discriminate between the blocks in regions of MS lesions and the blocks in non-MS lesion regions mainly based on the textural features with aid of the other features. The main contribution of this set of frameworks is the use of textural features to detect MS lesions in a fully automated approach that does not rely on manually delineating the MS lesions. In addition, the technique introduces the concept of the multi-sectional views segmentation to produce verified segmentation. The multi-sectional views pipeline is customized to provide better segmentation performance and to benefit from the properties and the nature of MS lesion in MRI. These customization and enhancement leads to development of the customized MV-T-SVM. The MRI datasets that were used in the evaluation of the proposed pipelines are simulated MRI datasets (3 subjects) generated using the McGill University BrainWeb MRI Simulator, real datasets (51 subjects) publicly available at the workshop of MS Lesion Segmentation Challenge 2008 and real MRI datasets (10 subjects) for MS subjects acquired at the University of Miami. The obtained results indicate that the proposed method would be viable for use in clinical practice for the detection of MS lesions in MRI.



Mri Atlas Of Ms Lesions


Mri Atlas Of Ms Lesions
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Author : M.A. Sahraian
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-16

Mri Atlas Of Ms Lesions written by M.A. Sahraian and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-16 with Medical categories.


MRI has become the main paraclinical test in the diagnosis and management of multiple sclerosis. We have demonstrated more than 400 pictures of different typical and atypical MS lesions in this atlas. Each image has a teaching point. New diagnostic criteria and differential diagnosis have been discussed.



Automatic Methods For Multiple Sclerosis New Lesions Detection And Segmentation


Automatic Methods For Multiple Sclerosis New Lesions Detection And Segmentation
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Author : Olivier Commowick
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-11

Automatic Methods For Multiple Sclerosis New Lesions Detection And Segmentation written by Olivier Commowick and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-11 with Science categories.




Magnetic Resonance Techniques In Clinical Trials In Multiple Sclerosis


Magnetic Resonance Techniques In Clinical Trials In Multiple Sclerosis
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Author : M. Filippi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Magnetic Resonance Techniques In Clinical Trials In Multiple Sclerosis written by M. Filippi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.


We have entered an exciting period in the study of multiple sclerosis and its treatment. Central to this progress has been the introduction of magnetic reso nance techniques. When Young and his colleagues published the first images of the brain in multiple sclerosis at the end of 1981, it was at once obvious that magnetic resonance imaging would playa major role in diagnosis. Intuitively one felt that it would also have a role in increasing our understanding of the pathogenesis of the disease and in monitoring treatment. And so it has proved. Important problems however remain, perhaps the most important of which at present is the weak predictive power of standard magnetic resonance ima ging methods in determining the possibility of progression of impairment and disability. Recently, there have been advances which promise to overcome some of these problems, but decisions about what approach to adopt in selecting patients for clinical trials and which techniques to use in monitoring treatment during their course are still difficult. In this book, Dr. Filippi and his colleagues have assembled an outstanding group of contributors whose work is central to the progress that is being made. The coverage of the issues involved in the use of magnetic resonance techniques in assessing therapeutic effect is comprehensive and, though the field is chan ging rapidly, the principles and much of the detail in the book are likely to have lasting value.



Medical Image Computing And Computer Assisted Intervention Miccai 2015


Medical Image Computing And Computer Assisted Intervention Miccai 2015
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Author : Nassir Navab
language : en
Publisher: Springer
Release Date : 2015-09-28

Medical Image Computing And Computer Assisted Intervention Miccai 2015 written by Nassir Navab and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-28 with Computers categories.


The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.



Magnetic Resonance In Multiple Sclerosis


Magnetic Resonance In Multiple Sclerosis
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Author : David H. Miller
language : en
Publisher: Cambridge University Press
Release Date : 1997-07-17

Magnetic Resonance In Multiple Sclerosis written by David H. Miller and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-07-17 with Medical categories.


Magnetic resonance (MR) imaging and spectroscopy are powerful tools for demonstrating and monitoring pathological processes of the brain and spinal cord. Multiple sclerosis (MS), a common and as yet incurable disease of the brain and spinal cord, is being studied intensively using these techniques. They perform a major role in facilitating the diagnosis, understanding the mechanisms of symptoms, and monitoring the effect of new treatments. Written by experts in the field, this extensively illustrated text provides a comprehensive review of the benefits and limitations of MR in the study of MS. Coverage ranges through the contributions of MR, the variety of techniques available, diagnosis and differential diagnosis, MR as a predictor of the clinical course, MR views of pathophysiology, and finally monitoring new treatment efficacy.



Brainlesion Glioma Multiple Sclerosis Stroke And Traumatic Brain Injuries


Brainlesion Glioma Multiple Sclerosis Stroke And Traumatic Brain Injuries
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Author : Alessandro Crimi
language : en
Publisher: Springer
Release Date : 2018-02-16

Brainlesion Glioma Multiple Sclerosis Stroke And Traumatic Brain Injuries written by Alessandro Crimi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-16 with Computers categories.


This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017. The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.



Information Processing In Medical Imaging


Information Processing In Medical Imaging
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Author : Marc Niethammer
language : en
Publisher: Springer
Release Date : 2017-06-06

Information Processing In Medical Imaging written by Marc Niethammer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-06 with Computers categories.


This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017. The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis.



New Frontiers Of Mr Based Techniques In Multiple Sclerosis


New Frontiers Of Mr Based Techniques In Multiple Sclerosis
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Author : Massimo Filippi
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

New Frontiers Of Mr Based Techniques In Multiple Sclerosis written by Massimo Filippi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Medical categories.


In the past few years there have been impressive advances in the implementation of modern MRI techniques for the assessment of MS patients with the ultimate goal to define MRI markers of MS evolution. The authors of this volume not only review these new techniques, such as magnetization transfer (MT) MRI, diffusion-weighted (DW) MRI and proton MR spectroscopy (MRS), that are increasingly being used to monitor MS evolution, but also those, such as functional MRI (fMRI), cell-specific MRI, perfusion MRI, and microscopic imaging with ultra-high field MRI, that are emerging as additional promising tools for improving our understanding of MS pathophysiology. Strengths and weaknesses of all these modern quantitative MRI techniques for the study of MS are extensively covered in this book. The book also provides a valuable summary of the state of the art.