CDMRI'15
MICCAI 2015 Workshop on
Computational Diffusion MRI
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Welcome & Introduction |
8:30-8:45 |
Keynote Lecture I |
Valerij Kiselev, University of Freiburg |
8:45-9:30 |
| Mesoscopic Diffusion MRI: What Maximum Likelihood cannot tell | |
Oral Session I |
9:30-10:30 |
| O.1 |
An efficient finite element solution of the complete Bloch-Torrey equation for arbitrary domains |
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Leandro Beltrachini et al. |
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University of Sheffield, UK |
| O.2 |
Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation |
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Feng Shi et al. |
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University of North Carolina at Chapel Hill, USA |
| O.3 |
Holistic Image Reconstruction for Diffusion MRI |
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Vladimir Golkov et al. |
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Technische Universität München, Germany |
Keynote Lecture II | Ron Kikinis, Harvard Medical School |
11:00-11:45 |
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Interactive Analysis of Clinical dMRI data |
Oral Session II |
11:45-12:05 |
| O.4 |
Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI |
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Talia Nir et al. |
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University of Southern California, USA |
Poster Power Pitch |
12:05-12:30 |
Lunch & Posters |
12:30-13:30 |
Poster Session |
13:30-14:00 |
Keynote Lecture III |
Lauren O'Donnell, Harvard Medical School |
14:00-14:45 |
| Groupwise tractography registration and data-driven white matter parcellation | |
Oral Session III |
14:45-15:30 |
| O.5 |
Brain Tissue Micro-structure Imaging from diffusion MRI using Least Squares Variable Separation |
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Hamza Farooq et al. |
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University of Minnesota, USA |
| O.6 |
Multi-Tensor MAPMRI: how to estimate microstructural information from crossing fibers |
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Mauro Zucchelli et al. |
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University Of Verona, Italy |
Oral Session IV |
16:00-16:40 |
| O.7 |
On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-voxel Fibre Structure in Diffusion MRI |
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Alice Bates et al. |
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Australian National University, Australia |
| O.8 |
Estimation of Fiber Orientations Using Neighborhood Information |
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Chuyang Ye et al. |
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Institute of Automation, Chinese Academy of Sciences, China |
Panel Discussion |
Open Challenges in Computational Diffusion MRI |
16:40-17:15 |
Closing Remarks |
17:15-17:30 |
| P.1 |
A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images |
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Vikash Gupta et al. |
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INRIA Sophia Antipolis, France |
| P.2 |
Alignment of Tractograms as Linear Assignment Problem |
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Nusrat Sharmin et al. |
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University of Trento, Italy |
| P.3 |
Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo |
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Haiyong Wu et al. |
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University of North Carolina at Chapel Hill, USA |
| P.4 |
Adaptive Enhancement in Diffusion MRI Through Propagator Sharpening |
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Tom Dela Haije et al. |
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Eindhoven University of Technology, Netherlands |
| P.5 |
Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer |
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Geng Chen et al. |
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Northwestern Polytechnical University, Xi'an, Shannxi, China |
| P.6 |
Crossing versus Fanning: Model Comparison Using HCP Data |
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Aurobrata Ghosh et al. |
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University College London, UK |
| P.7 |
White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss |
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Gali Zimmerman-Moreno et al. |
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Tel Aviv University, Israel |
| P.8 |
A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study |
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Marco Pizzolato et al. |
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Inria Sophia Antipolis - Méditerranée, France |
| P.9 |
Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching |
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Jakub Ceranka et al. |
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Vrije Universiteit Brussel, Belgium |
| P.10 |
HARDI Feature Selection, Registration and Atlas Building for Aβ Pathology Classification |
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Evan Schwab et al. |
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Johns Hopkins University, USA |
| P.11 |
Reliability of Structural Connectivity Examined with Four Different Diffusion Reconstruction Methods at Two Different Spatial and Angular Resolutions |
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Julio Villalon-Reina et al. |
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University of Southern California, USA |
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