Description: Product InformationThis volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI'18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on 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 harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. The book 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 computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and 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 alike.
Price: 19.99 GBP
Location: Smethwick
End Time: 2024-12-21T21:46:52.000Z
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Book Title: Computational Diffusion MRI
ISBN-13: 9783030058302
Number of Pages: 390 Pages
Publication Name: Computational Diffusion Mri: International Miccai Workshop, Granada, Spain, September 2018
Language: English
Publisher: Springer Nature Switzerland A&G
Item Height: 235 mm
Subject: Computer Science, Radiology, Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 763 g
Author: Chantal M. W. Tax, Francesco Grussu, Elisenda Bonet-Carne, Lipeng Ning, Farshid Sepehrband
Item Width: 155 mm
Series: Mathematics and Visualization
Format: Hardcover
