Programme

MICCAI 2019 Workshop on Computational Diffusion MRI

CDMRI includes the Multi-dimensional Diffusion MRI (MUDI) Challenge

CDMRI and MUDI Challenge are endorsed by the International Society for Magnetic Resonance in Medicine (ISMRM) and are sponsored by MICCAI and NVIDIA

Registration (8.00 – 8.20)

8.00 – 8.20 Registration (main conference desks)

Welcome (8.20 – 8.30)

8.20 – 8.30 Welcome from the CDMRI'19 and MUDI Challenge Organisers

Keynote Lecture 1 (8.30 – 9.00)

8.30 – 9.00 "Current challenges and future in diffusion MRI"
Bennett Landman
Vanderbilt University, Tennessee, USA

Oral Session 1 (9.00 – 9.30)

9.00 – 9.15 "Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions"
Santiago Aja-Fernandez et al.
University of Valladolid, Spain
9.15 – 9.30 “DWI Simulation-assisted machine learning models for microstructure estimation”
Jonathan Rafael-Patino et al.
École polytechnique fédérale de Lausanne, Switzerland

Coffee Break (9.30 – 10.00)

Keynote Lecture 2 (10.00 – 10.30)

10.00 – 10.30 "Processing with Directions: On Quantifying Local Geometric Structures of White Matter"
Jian Cheng
Beihang University, Beijing, China

Oral Session 2 (10.30 – 11.30)

10.30 – 10.50 “A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coeffcients”
Heejong Kim et al.
New York University, USA
10.50 – 11.10 “Optimized response function estimation for spherical deconvolution”
Tom Dela Haije et al.
University of Copenhagen, Denmark
11.10 – 11.30 “Optimal Fiber Diffusion Model Restoration”
Clint Greene et al.
UCSB, USA

Poster presentations/competition (11.30 – 12.30)

11.30 – 12.30 Please find the full list of authors and titles at the bottom of this page

Lunch + Poster viewing (12.30 – 14.00)

Keynote Lecture 3 (14.00 – 14.30)

14.00 – 14.30 "Microstructure imaging: computational models and machine learning"
Daniel Alexander
University College London, London, United Kingdom

Oral Session 3 (14.30 – 15.00)

14.30 – 14.45 "q-Space Novelty Detection with Variational Autoencoders"
Aleksei Vasilev et al.
Technical University of Munich, Germany
14.45 – 15.00 "Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell Diffusion MRI tractography"
Oeslle Lucena et al.
King's College London, United Kingdom

Keynote Lecture 4 (15.00 – 15.30)

15.00 – 15.30 "Connectome 2.0: Cutting-edge hardware brings new opportunities for computational diffusion MRI"
Anastasía Yendiki
Harvard Medical School, Cambridge, USA

Coffee break (15.30 – 16.30)

Keynote Lecture 5 (16.30 – 17.00)

16.30 – 17.00 "Bringing diffusion-relaxometry correlation methods from porous media NMR to clinical MRI"
Daniel Topgaard
Lund University, Lund, Sweden

MUDI – the Challenge (17.00 – 18.15)

17.00 – 17.10 Introduction
17.10 – 17.25 Teams' Presentations
17.25 – 17.45 Challenge results
17.45 – 18.00 Discussion

Concluding remarks and Prizes (18.00 – 18.15)

Prize for the best...
- Paper: Tom Dela Haije et al. for "Optimized response function estimation for spherical deconvolution".
- MUDI method: Francesco Grussu et al. for "Select And Retrieve for Direct Upsampling network (SARDU-net)".
- Oral presentation: Heejong Kim for "A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coefficients".
- Poster presentation: Fangrong Song for "Diffusion anisotropy identification by short diffusion-diffusion correlation spectroscopy".
- MUDI team presentation: Lipeng Ning et al. for "RElaxation-Diffusion Imaging Moments (REDIM) to probe neurite microstructure".

Social Event (from 20.00 onwards)

The workshop will conclude with a social event, venue TBC

POSTERS

Board CDMRI-1 "Spatial sparse estimation of fiber orientation distribution using deep alternating directions method of multipliers network"
Ridho Akbar et al.
Zhejiang University of Technology, China
Board CDMRI-2 "Free-Water Correction in Diffusion MRI: A Reliable and Robust Learning Approach"
Leon Weninger et al.
RWTH Aachen University, Germany
Board CDMRI-3 "Alternative Diffusion Anisotropy Metric from Reduced MRI Acquisitions"
Santiago Aja-Fernandez et al.
Universidad de Valladolid, Spain
Board CDMRI-4 "Convolutional neural networks for fiber orientation distribution enhancement to improve single-shell Diffusion MRI tractograph"
Oeslle Lucena et al.
King's College London, United Kingdom
Board CDMRI-5 "A framework to construct a longitudinal DW-MRI infant atlas based on mixed effects modeling of dODF coeffcients"
Heejong Kim at al.
New York University, USA
Board CDMRI-6 "Optimized response function estimation for spherical deconvolution"
Tom Dela Haije et al.
University of Copenhagen, Denmark
Board CDMRI-7 "q-Space Novelty Detection with Variational Autoencoders"
Aleksei Vasilev et al.
Technical University of Munich, Germany
Board CDMRI-8 "DWI Simulation-assisted machine learning models for microstructure estimation"
Jonathan Rafael-Patino et al.
École polytechnique fédérale de Lausanne, Switzerland
Board CDMRI-9 "Convolutional Neural Network on DTI data for Sub-cortical Brain Structure Segmentation"
Gustavo Retuci Pinheiro et al.
University of Campinas - UNICAMP, Brazil
Board CDMRI-10 "Investigation of changes in anomalous diffusion parameters in a mouse model of brain tumour"
Qianqian Yang et al.
Queensland University of Technology, Australia
Board CDMRI-11 "Optimal Fiber Diffusion Model Restoration"
Clint Greene et al.
UCSB, USA
Board CDMRI-12 "A network-based analysis of the preterm adolescent brain using PCA and graph theory"
Hassna Irzan et al.
University College London, King's College London, United Kingdom
Board CDMRI-13 "Diffusion MRI Fiber Tractography by Flow Field Formation with Extended Physarum Solver: A Pilot Study with 2D Phantoms"
Yoshitaka Masutani
Hiroshima City University, Japan
Board CDMRI-14 "Diffusion anisotropy identification by short diffusion-diffusion correlation spectroscopy"
Fangrong Zong et al.
Institute of Biophysics, Chinese Academy of Sciences, China


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