Computational Diffusion MRI

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

  • Andrea Fuster
  • Aurobrata Ghosh
  • Enrico Kaden
  • Yogesh Rathi
  • Marco Reisert

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Orals

    1. Front Matter
      Pages 1-1
    2. Leandro Beltrachini, Zeike A. Taylor, Alejandro F. Frangi
      Pages 3-14
    3. Feng Shi, Jian Cheng, Li Wang, Pew-Thian Yap, Dinggang Shen
      Pages 15-25
    4. Vladimir Golkov, Jorg M. Portegies, Antonij Golkov, Remco Duits, Daniel Cremers
      Pages 27-39
    5. Talia M. Nir, Julio E. Villalon-Reina, Boris A. Gutman, Daniel Moyer, Neda Jahanshad, Morteza Dehghani et al.
      Pages 41-54
    6. Hamza Farooq, Junqian Xu, Essa Yacoub, Tryphon Georgiou, Christophe Lenglet
      Pages 55-64
    7. Mauro Zucchelli, Lorenza Brusini, C. Andrés Méndez, Gloria Menegaz
      Pages 65-74
    8. Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince
      Pages 87-96
  3. Posters

    1. Front Matter
      Pages 97-97
    2. Vikash Gupta, Grégoire Malandain, Nicholas Ayache, Xavier Pennec
      Pages 99-108
    3. Nusrat Sharmin, Emanuele Olivetti, Paolo Avesani
      Pages 109-120
    4. Haiyong Wu, Geng Chen, Zhongxue Yang, Dinggang Shen, Pew-Thian Yap
      Pages 121-130
    5. Tom Dela Haije, Neda Sepasian, Andrea Fuster, Luc Florack
      Pages 131-143
    6. Geng Chen, Pei Zhang, Ke Li, Chong-Yaw Wee, Yafeng Wu, Dinggang Shen et al.
      Pages 145-157
    7. Aurobrata Ghosh, Daniel Alexander, Hui Zhang
      Pages 159-169
    8. Gali Zimmerman Moreno, Guy Alexandroni, Hayit Greenspan
      Pages 171-182
    9. Marco Pizzolato, Demian Wassermann, Tanguy Duval, Jennifer S. W. Campbell, Timothé Boutelier, Julien Cohen-Adad et al.
      Pages 183-194
    10. Jakub Ceranka, Mathias Polfliet, Frederic Lecouvet, Nicolas Michoux, Johan de Mey, Jef Vandemeulebroucke
      Pages 195-206

About these proceedings

Introduction

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.​

Keywords

brain network analysis connectomics diffusion tensor imaging fiber tractography image processing inverse problems magnetic resonance imaging medical image analysis neuroimaging segmentation

Editors and affiliations

  • Andrea Fuster
    • 1
  • Aurobrata Ghosh
    • 2
  • Enrico Kaden
    • 3
  • Yogesh Rathi
    • 4
  • Marco Reisert
    • 5
  1. 1.Dept of Mathematics and Computer ScienceEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Centre for Medical Image ComputingUniversity College LondonLondonUnited Kingdom
  3. 3.Centre for Medical Image ComputingUniversity College LondonLondonUnited Kingdom
  4. 4.Brigham and Women's HospitalHarvard Medical SchoolBostonUSA
  5. 5.Department of RadiologyUniversity Medical CenterFreiburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-28588-7
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-28586-3
  • Online ISBN 978-3-319-28588-7
  • Series Print ISSN 1612-3786
  • Series Online ISSN 2197-666X
  • About this book
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