Abstract #1616

Spatio-Temporal dMRI Acquisition Design: Reducing the Number of Samples

Patryk Filipiak1, Rutger Fick1, Alexandra Petiet2, Mathieu Santin2, Anne-Charlotte Philippe2, Stephane Lehericy2, Rachid Deriche1, and Demian Wassermann1,3

1Université Côte d’Azur - Inria Sophia Antipolis-Méditerranée, Valbonne, France, 2CENIR - Center for NeuroImaging Research, ICM - Brain and Spine Institute, Paris, France, 3Inria, CEA, Université Paris-Saclay, Paris, France

Acquisition time is a major limitation in recovering brain white matter microstructure with diffusion magnetic resonance imaging. Finding a sampling scheme that maximizes signal quality and satisfies given time constraints is NP-hard. Therefore, we propose a heuristic method based on genetic algorithm that finds sub-optimal solutions in reasonable time. Our diffusion model is defined in the $$q\tau$$$-space, so that it captures both spacial and temporal phenomena. The experiments on synthetic data and in-vivo diffusion images of the C57Bl6 wild-type mouse corpus callosum reveal superiority of our approach over random sampling and even distribution in the $$q\tau$$$-space.

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