Computational Diffusion MRI International MICCAI Workshop Lima Peru October 2020 Mathematics and Visualization by Noemi Gyori; Jana Hutter; Vishwesh Nath; Marco Palombo; Marco Pizzolato; Fan Zhang 3030730174 9783030730178

Computational Diffusion MRI International MICCAI Workshop Lima Peru October 2020 Mathematics and Visualization Noemi Gyori · Jana Hutter · Vishwesh Nath · Marco Palombo · Marco Pizzolato · Fan Zhang – Ebook Instant Download/Delivery ISBN(s): 9783030730178,3030730174

Product details:

• ISBN 10: 3030730174
• ISBN 13: 9783030730178
• Author: Noemi Gyori · Jana Hutter · Vishwesh Nath · Marco Palombo · Marco Pizzolato · Fan Zhang

This book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), which took place virtually on October 8th, 2020, having originally been planned to take place in Lima, Peru.
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.

Table contents:

Part I. Diffusion MRI Signal Acquisition and Processing Strategies
Part II. Machine Learning for Diffusion MRI
Part III. Diffusion MRI Outside the Brain and Clinical Applications
Part IV. CDMRI’19 MUDI Challenge

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