Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI

Patryk Filipiak 1, 2 Rutger Fick 2, 1 Alexandra Petiet 3 Mathieu Santin 3 Anne-Charlotte Philippe 3 Stéphane Lehéricy 3 Rachid Deriche 2, 1 Demian Wassermann 4
1 UCA - Université Côte d'Azur
2 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
3 CENIR - Centre de Neuro-Imagerie de Recherche
4 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
NEUROSPIN - Service NEUROSPIN, Inria Saclay - Ile de France
Abstract : Acquisition protocols that allow to capture time-dependent changes in diffusion signal require long imaging time. We address this issue through an optimized subsampling scheme that maximizes accuracy of the spatiotemporal diffusion signal representation, qτ-dMRI, for given time constraints. Our proposed coarse-grained variant of the problem reduces the space of feasible acquisition parameters compared to the fine-grained approach causing no significant deterioration of a reconstruction accuracy in most of the studied cases.
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Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, et al.. Coarse-Grained Spatiotemporal Acquisition Design for Diffusion MRI. ISBI 2019 - IEEE International Symposium on Biomedical Imaging, Apr 2019, Venice, Italy. ⟨hal-01973588v2⟩

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