Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, Fan Zhang, editors.
International Workshop on Computational Diffusion MRI (2019 : Shenzhen Shi, China); Bonet-Carne, Elisenda, editor.; Hutter, Jana, editor.; Palombo, Marco, editor.; Pizzolato, Marco, editor.; Sepehrband, Farshid, editor.; Zhang, Fan, editor.; International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China)
2020
RC78.7.N83 I58 2019
Available Online

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Title Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, Fan Zhang, editors.
Meeting Name International Workshop on Computational Diffusion MRI (2019 : Shenzhen Shi, China)
ISBN 9783030528935 (electronic book)
3030528936 (electronic book)
3030528928
9783030528928
DOI https://doi.org/10.1007/978-3-030-52893-5
Published Cham, Switzerland : Springer, [2020]
Language English
Description 1 online resource.
Item Number 10.1007/978-3-030-52893-5 doi
Call Number RC78.7.N83 I58 2019
Dewey Decimal Classification 616.07548
Summary 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, 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. This edition includes invited works from high-profile researchers with a specific focus on three new and important topics that are gaining momentum within the diffusion MRI community, including diffusion MRI signal acquisition and processing strategies, machine learning for diffusion MRI, and diffusion MRI outside the brain and clinical applications.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on December 16, 2020).
Added Author Bonet-Carne, Elisenda, editor.
Hutter, Jana, editor.
Palombo, Marco, editor.
Pizzolato, Marco, editor.
Sepehrband, Farshid, editor.
Zhang, Fan, editor.
Added Meeting Name International Conference on Medical Image Computing and Computer-Assisted Intervention (22nd : 2019 : Shenzhen Shi, China)
Series Mathematics and visualization.
Available in Other Form Print version: 9783030528928
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Diffusion MRI signal acquisition and processing strategies
Machine learning for diffusion MRI
Combined diffusion-relaxometry MRI.

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