Computational Diffusion MRI / Mathematics and Visualization (PDF)
MICCAI Workshop, Québec, Canada, September 2017
(Sprache: Englisch)
This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous contributions covering a broad range of topics, from the mathematical foundations of the diffusion process and signal...
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This volume presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find numerous 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 frontline applications in neuroscience research and clinical practice.
These proceedings contain the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI'17) held in Québec, Canada on September 10, 2017, sharing new perspectives on the most recent research challenges for those currently working in the field, but also offering a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. This book includes rigorous mathematical derivations, a large number of rich, 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.
Bibliographische Angaben
- 2018, 1st ed. 2018, 245 Seiten, Englisch
- Herausgegeben: Enrico Kaden, Francesco Grussu, Lipeng Ning, Chantal M. W. Tax, Jelle Veraart
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319738399
- ISBN-13: 9783319738390
- Erscheinungsdatum: 02.04.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Grösse: 10 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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