Editors:
- Contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14
- Details new computational methods applied to diffusion magnetic resonance imaging data
- Contributions include both careful mathematical derivations and a large number of rich full-color visualizations
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics and Visualization (MATHVISUAL)
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Table of contents (18 papers)
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Front Matter
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Network Analysis
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Front Matter
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Clinical Applications
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Front Matter
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Post-processing
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Front Matter
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About this book
This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers a wide range of topics from fundamental theoretical work on mathematical modeling to the development and evaluation of robust algorithms and applications in neuroscientific studies and clinical practice.
Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.
Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
Editors and Affiliations
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Harvard Medical School Brigham and Women's Hospital, Boston, USA
Lauren O'Donnell, Yogesh Rathi
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Dept. of Computer Science, University College London Dept of Computer Science, London, United Kingdom
Gemma Nedjati-Gilani
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University Medical Center Freiburg Department of Radiology, Freiburg, Germany
Marco Reisert
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Queen Square Multiple Sclerosis Centre, UCL Institute of Neurology, Queen Square House, Queen Square, London, United Kingdom
Torben Schneider
Bibliographic Information
Book Title: Computational Diffusion MRI
Book Subtitle: MICCAI Workshop, Boston, MA, USA, September 2014
Editors: Lauren O'Donnell, Gemma Nedjati-Gilani, Yogesh Rathi, Marco Reisert, Torben Schneider
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-319-11182-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-11181-0Published: 19 March 2015
Softcover ISBN: 978-3-319-36344-8Published: 06 October 2016
eBook ISBN: 978-3-319-11182-7Published: 17 February 2015
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: IX, 219
Number of Illustrations: 12 b/w illustrations, 51 illustrations in colour
Topics: Physiological, Cellular and Medical Topics, Computational Mathematics and Numerical Analysis, Image Processing and Computer Vision, Pattern Recognition