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Mathematics and Visualization

Computational Diffusion MRI

MICCAI Workshop, Québec, Canada, September 2017

Editors: Kaden, E., Grussu, F., Ning, L., Tax, C.M.W., Veraart, J. (Eds.)

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  • Features the papers presented at the 2017 MICCAI Workshop on Computational Diffusion MRI (CDMRI’17)
  • Details new computational methods and estimation techniques for microstructure imaging and brain connectivity mapping
  • Includes rigorous mathematical derivations, full-colour visualisations and frontline clinical applications
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eBook $109.00
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  • ISBN 978-3-319-73839-0
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Hardcover $179.99
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Softcover $139.99
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About this book

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.

Table of contents (18 chapters)

Table of contents (18 chapters)
  • Estimating Tissue Microstructure Using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites

    Pages 3-19

    Palombo, Marco

  • (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior

    Pages 21-35

    Schwab, Evan (et al.)

  • Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model

    Pages 37-49

    Filipiak, Patryk (et al.)

  • A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation

    Pages 51-63

    Zucchelli, Mauro (et al.)

  • Diffusion Specific Segmentation: Skull Stripping with Diffusion MRI Data Alone

    Pages 67-80

    Reid, Robert I. (et al.)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-319-73839-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
Softcover $139.99
price for USA in USD
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Bibliographic Information

Bibliographic Information
Book Title
Computational Diffusion MRI
Book Subtitle
MICCAI Workshop, Québec, Canada, September 2017
Editors
  • Enrico Kaden
  • Francesco Grussu
  • Lipeng Ning
  • Chantal M. W. Tax
  • Jelle Veraart
Series Title
Mathematics and Visualization
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-73839-0
DOI
10.1007/978-3-319-73839-0
Hardcover ISBN
978-3-319-73838-3
Softcover ISBN
978-3-030-08866-8
Series ISSN
1612-3786
Edition Number
1
Number of Pages
XI, 245
Number of Illustrations
13 b/w illustrations, 69 illustrations in colour
Topics

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