Computational Diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019. 1st ed. 2020

種類:

電子ブック

責任表示:

edited by Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, Fan Zhang

出版情報:

Cham : Springer International Publishing : Imprint: Springer, 2020

著者名:

Bonet-Carne, Elisenda.

Hutter, Jana.

Palombo, Marco.

Pizzolato, Marco.

Sepehrband, Farshid.

Zhang, Fan.

SpringerLink (Online service)

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シリーズ名:

Mathematics and Visualization ;

ISBN:

9783030528935 [3030528936]    

注記:

Diffusion MRI signal acquisition and processing strategies -- Machine learning for diffusion MRI -- Combined diffusion-relaxometry MRI.
This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI 2019), held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), which took place in Shenzhen, China on October 17, 2019. This book presents the latest advances in the rapidly expanding field of diffusion MRI. It shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning about computational techniques in diffusion MRI. The book includes rigorous mathematical derivations, a wealth of rich, full-colour visualisations and extensive 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. Readers will find contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal generation,

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