Description: Computational Diffusion MRI Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). MICCAI Workshop, Shenzhen, China, October 2019 Author(s): Elisenda Bonet-Carne, Jana Hutter, Marco Palombo, Marco Pizzolato, Farshid Sepehrband, Fan Zhang Format: Hardback Publisher: Springer Nature Switzerland AG, Switzerland Imprint: Springer Nature Switzerland AG ISBN-13: 9783030528928, 978-3030528928 Synopsis 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.
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Book Title: Computational Diffusion MRI
Number of Pages: 210 Pages
Language: English
Publication Name: Computational Diffusion Mri: Miccai Workshop, Shenzhen, China, October 2019
Publisher: Springer Nature Switzerland A&G
Publication Year: 2020
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 506 g
Type: Textbook
Author: Fan Zhang, Marco Palombo, Jana Hutter, Farshid Sepehrband, Elisenda Bonet-Carne, Marco Pizzolato
Series: Mathematics and Visualization
Item Width: 155 mm
Format: Hardcover
