Editors:
- Careful mathematical derivations
- Large number of rich full-color visualizations
- Biologically or clinically relevant results
Part of the book series: Mathematics and Visualization (MATHVISUAL)
Conference series link(s): MICCAI: International Conference on Medical Image Computing and Computer-Assisted Intervention
Conference proceedings info: MICCAI 2016.
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Table of contents (17 papers)
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Front Matter
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Back Matter
About this book
This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity, while also sharing new perspectives and insights on the latest research challenges for those currently working in the field.
Over the last decade, interest in diffusion MRI has virtually exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic, while new processing methods are essential to addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference.
These papers from the 2016 MICCAI Workshop “Computational Diffusion MRI” – which was intended to provide a snapshot of the latest developments within the highly active and growing field of diffusion MR – cover 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. The contributions include rigorous mathematical derivations, a wealth of rich, full-color visualizations, and biologically or clinically relevant results. As such, they will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.
Editors and Affiliations
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Department of Mathematics and Computer Science, Eindhoven University of Technology, Eindhoven, The Netherlands
Andrea Fuster
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Centre for Medical Image Computing, University College London, London, United Kingdom
Aurobrata Ghosh, Enrico Kaden
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Department of Psychiatry, Brigham & Womens Hospital, Boston, USA
Yogesh Rathi
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Medical Physics, University Medical Center, Freiburg, Germany
Marco Reisert
Bibliographic Information
Book Title: Computational Diffusion MRI
Book Subtitle: MICCAI Workshop, Athens, Greece, October 2016
Editors: Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-319-54130-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-54129-7Published: 13 May 2017
Softcover ISBN: 978-3-319-85326-0Published: 28 July 2018
eBook ISBN: 978-3-319-54130-3Published: 11 May 2017
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: XI, 212
Number of Illustrations: 4 b/w illustrations, 66 illustrations in colour
Topics: Mathematical and Computational Biology, Visualization, Simulation and Modeling, Image Processing and Computer Vision, Statistics for Life Sciences, Medicine, Health Sciences