Editors:
- Presents the latest developments in the highly active and rapidly growing field of diffusion MRI
- Covers a broad range of topics, from the mathematical foundations of the diffusion process and signal acquisition, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice
Part of the book series: Mathematics and Visualization (MATHVISUAL)
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Table of contents (23 papers)
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Front Matter
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Orientation Processing: Tractography and Visualization
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Front Matter
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Microstructure Modeling and Representation
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Front Matter
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Signal Augmentation and Super Resolution
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Front Matter
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About this book
This book presents the latest developments in the highly active and rapidly growing field of diffusion MRI. While offering new perspectives on the most recent research challenges in the field, the selected articles also provide a valuable starting point for anyone interested in learning computational techniques for diffusion MRI. The book includes rigorous mathematical derivations, a large number of rich, full-colour visualizations, and clinically relevant results. As such, it is of interest to researchers and practitioners in the fields of computer science, MRI physics, and applied mathematics. The reader will find numerous contributions coveringa broad range of topics, from the mathematical foundations of the diffusion process and signal generation to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice.
Keywords
- diffusion MRI
- multidimensional diffusion MRI
- combined diffusion-relaxometry MRI
- computational techniques
- medical image computing
- medical image analysis
- medical visualisation
- image and signal acquisition
- image registration
- image reconstruction
- image analysis
- image and signal processing
- image and signal modelling
- machine learning
- brain MRI
- neuroimaging
- connectomics
- fibre tractography
- body MRI
- microstructure imaging
Editors and Affiliations
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University College London, London, UK
Noemi Gyori, Marco Palombo
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Centre for Medical Engineering, King's College London, London, UK
Jana Hutter
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Nvidia, Nashville, USA
Vishwesh Nath
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Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark
Marco Pizzolato
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Laboratory of Mathematics in Imaging, Harvard Medical School, Boston, USA
Fan Zhang
Bibliographic Information
Book Title: Computational Diffusion MRI
Book Subtitle: International MICCAI Workshop, Lima, Peru, October 2020
Editors: Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, Fan Zhang
Series Title: Mathematics and Visualization
DOI: https://doi.org/10.1007/978-3-030-73018-5
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-73017-8Published: 30 September 2021
Softcover ISBN: 978-3-030-73020-8Published: 01 October 2022
eBook ISBN: 978-3-030-73018-5Published: 29 September 2021
Series ISSN: 1612-3786
Series E-ISSN: 2197-666X
Edition Number: 1
Number of Pages: XI, 304
Number of Illustrations: 7 b/w illustrations, 109 illustrations in colour
Topics: Mathematical and Computational Biology, Mathematics of Computing, Mathematical Applications in Computer Science, Image Processing and Computer Vision, Artificial Intelligence