Computational Diffusion MRI

MICCAI Workshop, Boston, MA, USA, September 2014

  • Lauren O'Donnell
  • Gemma Nedjati-Gilani
  • Yogesh Rathi
  • Marco Reisert
  • Torben Schneider
Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Network Analysis

    1. Front Matter
      Pages 1-1
    2. Peter Savadjiev, Carl-Fredrik Westin, Yogesh Rathi
      Pages 3-12
    3. Madelaine Daianu, Neda Jahanshad, Julio E. Villalon-Reina, Mario F. Mendez, George Bartzokis, Elvira E. Jimenez et al.
      Pages 13-22
    4. M. D. Schirmer, G. Ball, S. J. Counsell, A. D. Edwards, D. Rueckert, J. V. Hajnal et al.
      Pages 23-32
  3. Clinical Applications

    1. Front Matter
      Pages 33-33
    2. Hugo J. Kuijf, Chantal M. W. Tax, L. Karlijn Zaanen, Willem H. Bouvy, Jeroen de Bresser, Alexander Leemans et al.
      Pages 45-53
    3. Madelaine Daianu, Neda Jahanshad, Talia M. Nir, Cassandra D. Leonardo, Clifford R. Jack Jr., Michael W. Weiner et al.
      Pages 55-64
    4. Farzad Khalvati, Amen Modhafar, Andrew Cameron, Alexander Wong, Masoom A. Haider
      Pages 79-88
    5. J. Mitra, K.-K. Shen, S. Ghose, P. Bourgeat, J. Fripp, O. Salvado et al.
      Pages 89-99
  4. Tractography

    1. Front Matter
      Pages 101-101
    2. Dorothée Vercruysse, Daan Christiaens, Frederik Maes, Stefan Sunaert, Paul Suetens
      Pages 103-114
    3. Daan Christiaens, Marco Reisert, Thijs Dhollander, Frederik Maes, Stefan Sunaert, Paul Suetens
      Pages 115-123
  5. Q-space Reconstruction

    1. Front Matter
      Pages 125-125
    2. Marco Pizzolato, Aurobrata Ghosh, Timothé Boutelier, Rachid Deriche
      Pages 127-140
    3. Lipeng Ning, Oleg Michailovich, Carl-Fredrik Westin, Yogesh Rathi
      Pages 141-150
    4. Rutger Fick, Demian Wassermann, Gonzalo Sanguinetti, Rachid Deriche
      Pages 151-165
  6. Post-processing

    1. Front Matter
      Pages 167-167

About these proceedings

Introduction

This book contains papers presented at the 2014 MICCAI Workshop on Computational Diffusion MRI, CDMRI’14. Detailing new computational methods applied to diffusion magnetic resonance imaging data, it offers readers a snapshot of the current state of the art and covers 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.

 

Inside, readers will find information on brain network analysis, mathematical modeling for clinical applications, tissue microstructure imaging, super-resolution methods, signal reconstruction, visualization, and more. Contributions include both careful mathematical derivations and a large number of rich full-color visualizations.

 

Computational techniques are key to the continued success and development of diffusion MRI and to its widespread transfer into the clinic. This volume will offer a valuable starting point for anyone interested in learning computational diffusion MRI. It also offers new perspectives and insights on current research challenges for those currently in the field. The book will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics.

Keywords

Brain Network Analysis Connectomics Fiber Tractography High Angular Diffusion Imaging Mathematical Diffusion Models Medical Image Analysis Neuroimaging Segmentation Signal Reconstruction ​Diffusion Magnetic Resonance Imaging

Editors and affiliations

  • Lauren O'Donnell
    • 1
  • Gemma Nedjati-Gilani
    • 2
  • Yogesh Rathi
    • 3
  • Marco Reisert
    • 4
  • Torben Schneider
    • 5
  1. 1.Harvard Medical School Brigham and Women's HospitalBostonUSA
  2. 2.Dept. of Computer ScienceUniversity College London Dept of Computer ScienceLondonUnited Kingdom
  3. 3.Harvard Medical School Brigham and Women's HospitalBostonUSA
  4. 4.University Medical Center Freiburg Department of RadiologyFreiburgGermany
  5. 5.Queen Square Multiple Sclerosis CentreUCL Institute of Neurology, Queen Square House, Queen SquareLondonUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11182-7
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-11181-0
  • Online ISBN 978-3-319-11182-7
  • Series Print ISSN 1612-3786
  • Series Online ISSN 2197-666X
  • About this book