Author: Mariano Cabezas Grebol
Publisher:
ISBN:
Category :
Languages : en
Pages : 205

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Book Description

Author: M.A. Sahraian
Publisher: Springer Science & Business Media
ISBN: 3540713719
Category : Medical
Languages : en
Pages : 184

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Book Description
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.

Author: Jürg Kesselring
Publisher: Thieme Medical Publishers
ISBN:
Category : Medical
Languages : en
Pages : 112

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Book Description

Author: Nicole Seiberlich
Publisher: Academic Press
ISBN: 0128170581
Category : Computers
Languages : en
Pages : 1094

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Book Description
Quantitative Magnetic Resonance Imaging is a 'go-to' reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches

Author: Daniel García Lorenzo
Publisher:
ISBN:
Category :
Languages : en
Pages : 142

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Book Description
Multiple sclerosis (MS) affects around 80.000 people in France. Magnetic resonance imaging (MRI) is an essential tool for diagnosis of MS and MRI-derived surrogate markers such as MS lesion volumes are often used as measures in MS clinical trials for the development of new treatments. The manual segmentation of these MS lesions is a time-consuming task that shows high inter- and intra-rater variability. We developed an automatic workflow for the segmentation of focal MS lesions on MRI. The segmentation method is based on the robust estimation of a parametric model of the intensities of the brain; lesions are detected as outliers to the model. We proposed two methods to include spatial information in the segmentation using mean shift and graph cut. We performed a quantitative evaluation of our workflow using synthetic and clinical images of two different centers to verify its accuracy and robustness.

Author: Massimo Filippi
Publisher: Springer Science & Business Media
ISBN: 8847022371
Category : Medical
Languages : en
Pages : 174

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Book Description
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.

Author: M. Filippi
Publisher: Springer Science & Business Media
ISBN: 8847021537
Category : Medical
Languages : en
Pages : 200

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Book Description
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.

Author: Gustavo Carneiro
Publisher: Springer
ISBN: 3319469762
Category : Computers
Languages : en
Pages : 289

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Book Description
This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.

Author: M. Filippi
Publisher: Springer Science & Business Media
ISBN: 884702109X
Category : Medical
Languages : en
Pages : 180

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Book Description
Recent years have witnessed dramatic advances in the development and use of magnetic resonance imaging (MRI) techniques that can provide quantitative measures with some degree of pathological specificity for the heterogeneous substrates of multiple sclerosis (MS). Magnetic resonance spectroscopy (MRS) is one of the most promising of these techniques. Thanks to MRS, axonal damage is no longer considered an end-stage phenomenon typical of only the most destructive lesions and the most unfortunate cases, but rather as a major component of the MS pathology of lesions and normal-appearing white matter at all the phases of the disease. This new concept is rapidly changing our understanding of MS pathophysiology and, as a consequence, the therapeutic strategies to modify the disease course favorably. Many of the authors have pionereed the use of MRS in MS, thus contributing to the foundation of the "axonal hypothesis".

Author: Bassem A Abdullah
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
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.