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Mathematics and Visualization

Computational Diffusion MRI

MICCAI Workshop, Munich, Germany, October 9th, 2015

Editors: Fuster, A., Ghosh, A., Kaden, E., Rathi, Y., Reisert, M. (Eds.)

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About this book

These Proceedings of the 2015 MICCAI Workshop “Computational Diffusion MRI” offer a snapshot of the current state of the art on a broad range of topics within the highly active and growing field of diffusion MRI. The topics vary from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms, new computational methods applied to diffusion magnetic resonance imaging data, and applications in neuroscientific studies and clinical practice.

Over the last decade interest in diffusion MRI has exploded. The technique provides unique insights into the microstructure of living tissue and enables in-vivo connectivity mapping of the brain. Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into clinical practice. New processing methods are essential for addressing issues at each stage of the diffusion MRI pipeline: acquisition, reconstruction, modeling and model fitting, image processing, fiber tracking, connectivity mapping, visualization, group studies and inference.

This volume, which includes both careful mathematical derivations and a wealth of rich, full-color visualizations and biologically or clinically relevant results, offers a valuable starting point for anyone interested in learning about computational diffusion MRI and mathematical methods for mapping brain connectivity, as well as new perspectives and insights on current research challenges for those currently working in the field. It will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics.​

Table of contents (19 chapters)

Table of contents (19 chapters)
  • An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains

    Pages 3-14

    Beltrachini, Leandro (et al.)

  • Super-Resolution Reconstruction of Diffusion-Weighted Images Using 4D Low-Rank and Total Variation

    Pages 15-25

    Shi, Feng (et al.)

  • Holistic Image Reconstruction for Diffusion MRI

    Pages 27-39

    Golkov, Vladimir (et al.)

  • Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI

    Pages 41-54

    Nir, Talia M. (et al.)

  • Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squares Variable Separation

    Pages 55-64

    Farooq, Hamza (et al.)

Buy this book

eBook $129.00
price for USA in USD
  • ISBN 978-3-319-28588-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-319-28586-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-3-319-80381-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Diffusion MRI
Book Subtitle
MICCAI Workshop, Munich, Germany, October 9th, 2015
Editors
  • Andrea Fuster
  • Aurobrata Ghosh
  • Enrico Kaden
  • Yogesh Rathi
  • Marco Reisert
Series Title
Mathematics and Visualization
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-28588-7
DOI
10.1007/978-3-319-28588-7
Hardcover ISBN
978-3-319-28586-3
Softcover ISBN
978-3-319-80381-4
Series ISSN
1612-3786
Edition Number
1
Number of Pages
IX, 234
Number of Illustrations
20 b/w illustrations, 63 illustrations in colour
Topics

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