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Computational Diffusion MRI

12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Suheyla Cetin-Karayumak

    1. Harvard Medical School, Boston, USA

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  2. Daan Christiaens

    1. KU Leuven, Leuven, Belgium

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  3. Matteo Figini

    1. University College London, London, UK

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  4. Pamela Guevara

    1. Universidad de Concepción, Concepción, Chile

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  5. Noemi Gyori

    1. University College London, London, UK

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  6. Vishwesh Nath

    1. Nvidia, Nashville, USA

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  7. Tomasz Pieciak

    1. AGH University of Science and Technology, Krakow, Poland

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13006)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: CDMRI 2021.

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About this book

This book constitutes the proceedings of the International Workshop on Computational Diffusion MRI, CDMRI 2021, which was held on October 1, 2021, in conjunction with MICCAI 2021. The conference was planned to take place in Strasbourg, France, but was held virtually due to the COVID-19 pandemic.

The 13 full papers included were carefully reviewed and selected for inclusion in the book. The proceedings also contain a paper about the design and scope of the MICCAI Diffusion-Simulated Connectivity Challenge (DiSCo) which was held at CDMRI 2021.

The papers were organized in topical sections as follows: acquisition; microstructure modelling; tractography and connectivity; applications and visualization; DiSCo challenge – invited contribution.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-ix
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  2. Acquisition

    1. Front Matter

      Pages 1-1
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    2. On the b-value Derivation for diffusion-weighted Double-Echo Steady-State (dwDESS) Magnetic Resonance Imaging

      • Ulrich Katscher, Jakob Meineke, Shuo Zhang, Björn Steinhorst, Jochen Keupp
      Pages 3-11

    3. Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom

      • Hamza Kebiri, Hélène Lajous, Yasser Alemán-Gómez, Gabriel Girard, Erick Canales Rodríguez, Sébastien Tourbier et al.
      Pages 12-22

  3. Microstructure Modelling

    1. Front Matter

      Pages 23-23
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    2. A Microstructure Model from Conventional Diffusion MRI of Meningiomas: Impact of Noise and Error Minimization

      • Letizia Morelli, Giulia Buizza, Chiara Paganelli, Giulia Riva, Giulia Fontana, Sara Imparato et al.
      Pages 25-35

    3. Generalised Hierarchical Bayesian Microstructure Modelling for Diffusion MRI

      • Elizabeth Powell, Matteo Battocchio, Christopher S. Parker, Paddy J. Slator
      Pages 36-47

    4. Brain Tissue Microstructure Characterization Using dMRI Based Autoencoder Neural-Networks

      • Mauro Zucchelli, Samuel Deslauriers-Gauthier, Rachid Deriche
      Pages 48-57

    5. Synthesizing VERDICT Maps from Standard DWI Data Using GANs

      • Eleni Chiou, Vanya Valindria, Francesco Giganti, Shonit Punwani, Iasonas Kokkinos, Eleftheria Panagiotaki
      Pages 58-67

  4. Tractography and Connectivity

    1. Front Matter

      Pages 69-69
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    2. A Novel Algorithm for Region-to-Region Tractography in Diffusion Tensor Imaging

      • Lars Smolders, Rick Sengers, Andrea Fuster, Mark de Berg, Luc Florack
      Pages 71-81

    3. Fast Tractography Streamline Search

      • Etienne St-Onge, Eleftherios Garyfallidis, D. Louis Collins
      Pages 82-95

    4. Alignment of Tractography Streamlines Using Deformation Transfer via Parallel Transport

      • Andrew Lizarraga, David Lee, Antoni Kubicki, Ashish Sahib, Elvis Nunez, Katherine Narr et al.
      Pages 96-105

  5. Applications and Visualisation

    1. Front Matter

      Pages 107-107
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    2. Diffusion MRI Automated Region of Interest Analysis in Standard Atlas Space versus the Individual’s Native Space

      • Lanya T. Cai, Maria Baida, Jamie Wren-Jarvis, Ioanna Bourla, Pratik Mukherjee
      Pages 109-120

    3. Bundle Geodesic Convolutional Neural Network for DWI Segmentation from Single Scan Learning

      • Renfei Liu, Francois Lauze, Kenny Erleben, Sune Darkner
      Pages 121-132

    4. Lesion Normalization and Supervised Learning in Post-traumatic Seizure Classification with Diffusion MRI

      • Md Navid Akbar, Sebastian Ruf, Marianna La Rocca, Rachael Garner, Giuseppe Barisano, Ruskin Cua et al.
      Pages 133-143

    5. Accelerating Geometry-Based Spherical Harmonics Glyphs Rendering for dMRI Using Modern OpenGL

      • Charles Poirier, Maxime Descoteaux, Guillaume Gilet
      Pages 144-155

  6. DiSCo Challenge - Invited Contribution

    1. Front Matter

      Pages 157-157
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    2. The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset

      • Jonathan Rafael-Patino, Gabriel Girard, Raphaël Truffet, Marco Pizzolato, Jean-Philippe Thiran, Emmanuel Caruyer
      Pages 159-170
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Other volumes

  1. Computational Diffusion MRI

Editors and Affiliations

  • Harvard Medical School, Boston, USA

    Suheyla Cetin-Karayumak

  • KU Leuven, Leuven, Belgium

    Daan Christiaens

  • University College London, London, UK

    Matteo Figini, Noemi Gyori

  • Universidad de Concepción, Concepción, Chile

    Pamela Guevara

  • Nvidia, Nashville, USA

    Vishwesh Nath

  • AGH University of Science and Technology, Krakow, Poland

    Tomasz Pieciak

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