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Computational Diffusion MRI

International MICCAI Workshop, Granada, Spain, September 2018

  • Elisenda Bonet-Carne
  • Francesco Grussu
  • Lipeng Ning
  • Farshid Sepehrband
  • Chantal M. W. Tax
Conference proceedings MICCAI 2018

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Diffusion MRI Signal Acquisition and Processing Strategies

    1. Front Matter
      Pages 1-1
    2. Iñaki Rabanillo, Santiago Sanz-Estébanez, Santiago Aja-Fernández, Joseph Hajnal, Carlos Alberola-López, Lucilio Cordero-Grande
      Pages 19-27
    3. Santiago Aja-Fernández, Antonio Tristán-Vega, Malwina Molendowska, Tomasz Pieciak, Rodrigo de Luis-García
      Pages 29-41
    4. Alessandro Mella, Alessandro Daducci, Giandomenico Orlandi, Jean-Philippe Thiran, Maria Deprez, Merixtell Bach Cuadra
      Pages 43-53
    5. Abib Alimi, Rutger Fick, Demian Wassermann, Rachid Deriche
      Pages 55-67
    6. Peng Sun, Ye Wu, Geng Chen, Jun Wu, Dinggang Shen, Pew-Thian Yap
      Pages 69-76
    7. Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche
      Pages 77-89
    8. Marco Pizzolato, Demian Wassermann, Rachid Deriche, Jean-Philippe Thiran, Rutger Fick
      Pages 91-101
  3. Machine Learning for Diffusion MRI

    1. Front Matter
      Pages 103-103
    2. Daniele Ravi, Nooshin Ghavami, Daniel C. Alexander, Andrada Ianus
      Pages 105-121
    3. Chuyang Ye, Yue Cui, Xiuli Li
      Pages 123-132
    4. Jaeil Kim, Yoonmi Hong, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen
      Pages 133-141
  4. Diffusion MRI Signal Harmonization

    1. Front Matter
      Pages 155-155
    2. Alyssa H. Zhu, Daniel C. Moyer, Talia M. Nir, Paul M. Thompson, Neda Jahanshad
      Pages 157-172
    3. Simon Koppers, Luke Bloy, Jeffrey I. Berman, Chantal M. W. Tax, J. Christopher Edgar, Dorit Merhof
      Pages 173-182
    4. Khoi Minh Huynh, Jaeil Kim, Geng Chen, Ye Wu, Dinggang Shen, Pew-Thian Yap
      Pages 183-191
    5. Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios et al.
      Pages 193-201
    6. Talia M. Nir, Hei Y. Lam, Jintanat Ananworanich, Jasmina Boban, Bruce J. Brew, Lucette Cysique et al.
      Pages 203-215
    7. Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart et al.
      Pages 217-224
  5. Diffusion MRI Outside the Brain and Clinical Applications

    1. Front Matter
      Pages 225-225
    2. Rita G. Nunes, Luísa Nogueira, Andreia S. Gaspar, Nuno Adubeiro, Sofia Brandão
      Pages 227-249
    3. Paddy J. Slator, Jana Hutter, Andrada Ianus, Eleftheria Panagiotaki, Mary A. Rutherford, Joseph V. Hajnal et al.
      Pages 251-263
    4. Carmen Tur, Francesco Grussu, Ferran Prados, Sara Collorone, Claudia A. M. Gandini Wheeler-Kingshott, Olga Ciccarelli
      Pages 265-279
    5. Elizabeth Powell, Ferran Prados, Declan Chard, Ahmed Toosy, Jonathan D. Clayden, Claudia Gandini A. M. Wheeler-Kingshott
      Pages 281-291
  6. Tractography and Connectivity Mapping

    1. Front Matter
      Pages 293-293
    2. Daniel C. Moyer, Paul Thompson, Greg Ver Steeg
      Pages 295-307
    3. Jorg Portegies, Stephan Meesters, Pauly Ossenblok, Andrea Fuster, Luc Florack, Remco Duits
      Pages 309-321
    4. Nicole Labra Avila, Jessica Lebenberg, Denis Rivière, Guillaume Auzias, Clara Fischer, Fabrice Poupon et al.
      Pages 323-333
    5. Matteo Frigo, Isa Costantini, Rachid Deriche, Samuel Deslauriers-Gauthier
      Pages 335-343
    6. Irene Brusini, Daniel Jörgens, Örjan Smedby, Rodrigo Moreno
      Pages 345-357
    7. Maxime Chamberland, Samuel St-Jean, Chantal M. W. Tax, Derek K. Jones
      Pages 359-366
    8. Matteo Battocchio, Gabriel Girard, Muhamed Barakovic, Mario Ocampo, Jean-Philippe Thiran, Simona Schiavi et al.
      Pages 367-375
    9. Andreas Nugaard Holm, Aasa Feragen, Tom Dela Haije, Sune Darkner
      Pages 377-386
  7. Back Matter
    Pages 387-390

Other volumes

  1. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I
  2. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III
  3. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II
  4. 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV
  5. Computational Diffusion MRI
    International MICCAI Workshop, Granada, Spain, September 2018

About these proceedings

Introduction

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International Conference on Medical Image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018. 

It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging. 

The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike. 

Keywords

diffusion MRI computational techniques medical image computing medical visualization image acquisition image registration image reconstruction image analysis image and signal processing machine learning brain MRI neuroimaging connectomics fibre tractography body MRI microsturcture imaging signal modelling parameter estimation

Editors and affiliations

  • Elisenda Bonet-Carne
    • 1
  • Francesco Grussu
    • 2
  • Lipeng Ning
    • 3
  • Farshid Sepehrband
    • 4
  • Chantal M. W. Tax
    • 5
  1. 1.Centre for Medical Image ComputingUniversity College LondonLondonUK
  2. 2.Queen Square Institute of Neurology and Centre for Medical Image ComputingUniversity College LondonLondonUK
  3. 3.Psychiatry Neuroimaging Laboratory, Brigham and Women’s HospitalHarvard Medical SchoolBostonUSA
  4. 4.Laboratory of Neuro Imaging (LONI), Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaLos AngelesUSA
  5. 5.Cardiff University Brain Research Imaging Centre (CUBRIC)Cardiff UniversityCardiffUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-05831-9
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-030-05830-2
  • Online ISBN 978-3-030-05831-9
  • Series Print ISSN 1612-3786
  • Series Online ISSN 2197-666X
  • Buy this book on publisher's site