Editors:
- Offers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivity
- Features the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13)
- Contributions include both careful mathematical derivations and a large number of rich full-color visualizations
- Leading experts in the fields on the program committees
- Includes supplementary material: sn.pub/extras
Part of the book series: Mathematics and Visualization (MATHVISUAL)
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Table of contents (22 papers)
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Front Matter
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Acquisition of Diffusion MRI
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Front Matter
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Diffusion MRI Modeling
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Front Matter
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Tractography
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Front Matter
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About this book
This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.
Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.
This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.
Editors and Affiliations
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University of Bonn, Bonn, Germany
Thomas Schultz
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Dept. of Computer Science, University College London Centre for Medical Image Computing, London, United Kingdom
Gemma Nedjati-Gilani, Eleftheria Panagiotaki
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MIT CSAIL, Cambridge, USA
Archana Venkataraman
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Brigham and Women's Hospital Depts of Radiology and Neurosurgery, Boston, USA
Lauren O'Donnell
Bibliographic Information
Book Title: Computational Diffusion MRI and Brain Connectivity
Book Subtitle: MICCAI Workshops, Nagoya, Japan, September 22nd, 2013
Editors: Thomas Schultz, Gemma Nedjati-Gilani, Archana Venkataraman, Lauren O'Donnell, Eleftheria Panagiotaki
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-319-02475-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02474-5Published: 27 January 2014
Softcover ISBN: 978-3-319-37684-4Published: 23 August 2016
eBook ISBN: 978-3-319-02475-2Published: 13 January 2014
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: XIV, 255
Number of Illustrations: 11 b/w illustrations, 67 illustrations in colour
Topics: Computational Science and Engineering, Image Processing and Computer Vision, Visualization, Pattern Recognition, Theoretical, Mathematical and Computational Physics, Statistics for Life Sciences, Medicine, Health Sciences