Computational Diffusion MRI / Mathematics and Visualization (PDF)
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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 connectivity features, as well as diffusion-relaxometry and frontline applications in research and clinical practice.
- 2021, 1st ed. 2021, 304 Seiten, Englisch
- Herausgegeben: Noemi Gyori, Jana Hutter, Vishwesh Nath, Marco Palombo, Marco Pizzolato, Fan Zhang
- Verlag: Springer International Publishing
- ISBN-10: 3030730182
- ISBN-13: 9783030730185
- Erscheinungsdatum: 29.09.2021
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- Dateiformat: PDF
- Grösse: 13 MB
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