书目名称 | Computational Diffusion MRI | 副标题 | International MICCAI | 编辑 | Noemi Gyori,Jana Hutter,Fan Zhang | 视频video | | 概述 | 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 a | 丛书名称 | Mathematics and Visualization | 图书封面 |  | 描述 | 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 conn | 出版日期 | Conference proceedings 2021 | 关键词 | diffusion MRI; multidimensional diffusion MRI; combined diffusion-relaxometry MRI; computational techni | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-73018-5 | isbn_softcover | 978-3-030-73020-8 | isbn_ebook | 978-3-030-73018-5Series ISSN 1612-3786 Series E-ISSN 2197-666X | issn_series | 1612-3786 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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