Computational Diffusion MRI and Brain Connectivity

MICCAI Workshops, Nagoya, Japan, September 22nd, 2013

  • Thomas Schultz
  • Gemma Nedjati-Gilani
  • Archana Venkataraman
  • Lauren O'Donnell
  • Eleftheria Panagiotaki
Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Acquisition of Diffusion MRI

    1. Front Matter
      Pages 1-1
    2. Yogesh Rathi, Borjan Gagoski, Kawin Setsompop, P. Ellen Grant, C.-F. Westin
      Pages 3-11
    3. Bryce Wilkins, Namgyun Lee, Vidya Rajagopalan, Meng Law, Natasha Leporé
      Pages 13-24
    4. Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang
      Pages 25-34
    5. Jan Hering, Ivo Wolf, Hans-Peter Meinzer, Bram Stieltjes, Klaus H. Maier-Hein
      Pages 35-44
  3. Diffusion MRI Modeling

    1. Front Matter
      Pages 45-45
    2. Yogesh Rathi, Marc Niethammer, Frederik Laun, Kawin Setsompop, Oleg Michailovich, P. Ellen Grant et al.
      Pages 57-66
    3. Hidekata Hontani, Kazunari Iwamoto, Yoshitaka Masutani
      Pages 67-79
    4. Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap
      Pages 81-93
  4. Tractography

    1. Front Matter
      Pages 95-95
    2. Andrea Fuster, Antonio Tristan-Vega, Tom Dela Haije, Carl-Fredrik Westin, Luc Florack
      Pages 97-104
    3. Peter F. Neher, Frederik B. Laun, Bram Stieltjes, Klaus H. Maier-Hein
      Pages 105-113
    4. Andre Reichenbach, Mario Hlawitschka, Marc Tittgemeyer, Gerik Scheuermann
      Pages 115-128
    5. Colin J. Brown, Brian G. Booth, Ghassan Hamarneh
      Pages 129-138
    6. Pew-Thian Yap, Hongyu An, Yasheng Chen, Dinggang Shen
      Pages 139-148
  5. Group Studies and Statistical Analysis

    1. Front Matter
      Pages 149-149
    2. Daan Christiaens, Thijs Dhollander, Frederik Maes, Stefan Sunaert, Paul Suetens
      Pages 151-161
    3. W. Huizinga, C. T. Metz, D. H. J. Poot, M. de Groot, W. J. Niessen, A. Leemans et al.
      Pages 163-174

About these proceedings

Introduction

This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013.

Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling.

This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.

Keywords

Connectomics Diffusion Magnetic Resonance Imaging Fiber Tractography Medical Image Analysis Neuroimaging

Editors and affiliations

  • Thomas Schultz
    • 1
  • Gemma Nedjati-Gilani
    • 2
  • Archana Venkataraman
    • 3
  • Lauren O'Donnell
    • 4
  • Eleftheria Panagiotaki
    • 5
  1. 1.University of BonnBonnGermany
  2. 2.Dept. of Computer ScienceUniversity College London Centre for Medical Image ComputingLondonUnited Kingdom
  3. 3.MIT CSAILCambridgeUSA
  4. 4.Brigham and Women's Hospital Depts of Radiology and NeurosurgeryBostonUSA
  5. 5.Dept. of Computer ScienceUniversity College London Centre for Medical Image ComputingLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-02475-2
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-02474-5
  • Online ISBN 978-3-319-02475-2
  • Series Print ISSN 1612-3786
  • Series Online ISSN 2197-666X
  • About this book