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Computational Diffusion MRI

MICCAI Workshop, Athens, Greece, October 2016

  • Andrea Fuster
  • Aurobrata Ghosh
  • Enrico Kaden
  • Yogesh Rathi
  • Marco Reisert
Conference proceedings MICCAI 2016

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Marco Pizzolato, Rutger Fick, Timothé Boutelier, Rachid Deriche
    Pages 21-34
  3. Kratika Gupta, Deepali Adlakha, Vishal Agarwal, Suyash P. Awate
    Pages 35-48
  4. Jian Zhang, Geng Chen, Yong Zhang, Bin Dong, Dinggang Shen, Pew-Thian Yap
    Pages 49-59
  5. Simon Koppers, Christoph Haarburger, Dorit Merhof
    Pages 61-70
  6. Rutger H. J. Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, Stephane Lehericy, Rachid Deriche et al.
    Pages 71-83
  7. Lebina S. Kakkar, David Atkinson, Rachel W. Chan, Bernard Siow, Andrada Ianus, Ivana Drobnjak
    Pages 85-97
  8. Guillermo Gallardo, Rutger Fick, William Wells III, Rachid Deriche, Demian Wassermann
    Pages 99-112
  9. Zhanlong Yang, Geng Chen, Dinggang Shen, Pew-Thian Yap
    Pages 113-121
  10. Qiuting Wen, Brian D. Stirling, Long Sha, Li Shen, Paul J. Whalen, Yu-Chien Wu
    Pages 123-132
  11. Gali Zimmerman Moreno, Guy Alexandroni, Nir Sochen, Hayit Greenspan
    Pages 133-143
  12. Tara Ganepola, Zoltan Nagy, Daniel C. Alexander, Martin I. Sereno
    Pages 145-156
  13. Julio E. Villalon-Reina, Talia M. Nir, Boris A. Gutman, Neda Jahanshad, Clifford R. Jack Jr, Michael W. Weiner et al.
    Pages 157-166
  14. Farzaneh Rahmani, Somayeh Mohammadi Jooyandeh, Mohammad Hadi Shadmehr, Ahmad Shojaie, Farsad Noorizadeh, Mohammad Hadi Aarabi
    Pages 167-173
  15. Achille Teillac, Sandrine Lefrance, Edouard Duchesnay, Fabrice Poupon, Maite Alaitz Ripoll Fuster, Denis Le Bihan et al.
    Pages 175-186
  16. Rutger H. J. Fick, Madelaine Daianu, Marco Pizzolato, Demian Wassermann, Russell E. Jacobs, Paul M. Thompson et al.
    Pages 187-199
  17. Mahsa Dolatshahi, Farzaneh Rahmani, Mohammad Hadi Shadmehr, Timm Peoppl, Ahmad Shojaie, Farsad Noorizadeh et al.
    Pages 201-209
  18. Back Matter
    Pages 211-212

Other volumes

  1. 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part I
  2. 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II
  3. 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part III
  4. Computational Diffusion MRI
    MICCAI Workshop, Athens, Greece, October 2016

About these proceedings

Introduction

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity, while also sharing new perspectives and insights on the latest research challenges for those currently working in the field.

Over the last decade, interest in diffusion MRI has virtually 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 the clinic, while new processing methods are essential to 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.

These papers from the 2016 MICCAI Workshop “Computational Diffusion MRI” – which was intended to provide a snapshot of the latest developments within the highly active and growing field of diffusion MR – cover a wide range of topics, from fundamental theoretical work on mathematical modeling, to the development and evaluation of robust algorithms and applications in neuroscientific studies and clinical practice. The contributions include rigorous mathematical derivations, a wealth of rich, full-color visualizations, and biologically or clinically relevant results. As such, they will be of interest to researchers and practitioners in the fields of computer science, MR physics, and applied mathematics. 

Keywords

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

Editors and affiliations

  • Andrea Fuster
    • 1
  • Aurobrata Ghosh
    • 2
  • Enrico Kaden
    • 3
  • Yogesh Rathi
    • 4
  • Marco Reisert
    • 5
  1. 1.Department 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.Department of PsychiatryBrigham & Womens HospitalBostonUSA
  5. 5.Medical PhysicsUniversity Medical CenterFreiburgGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-54130-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-54129-7
  • Online ISBN 978-3-319-54130-3
  • Series Print ISSN 1612-3786
  • Series Online ISSN 2197-666X
  • Buy this book on publisher's site
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