Computational Diffusion MRI - MICCAI Workshop, Quebec, Canada, September 2017 (Paperback, Softcover reprint of the original 1st ed. 2018)

This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a 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 frontline applications in neuroscience research and clinical practice. These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI'17) held in Quebec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, full-colour visualisations and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Mathematics and Visualization
Release date:	2019
First published:	2018
Editors:	Enrico Kaden • Francesco Grussu • Lipeng Ning • Chantal M.W. Tax • Jelle Veraart
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	245
Edition:	Softcover reprint of the original 1st ed. 2018
ISBN-13:	978-3-03-008866-8
Categories:	Books > Science & Mathematics > Mathematics > Numerical analysis Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-03-008866-9
Barcode:	9783030088668

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