Spatio-Temporal dMRI Acquisition Design: Reducing the Number of $q\tau$ Samples Through a Relaxed Probabilistic Model

Abstract : 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. We alleviate that by introducing a relaxed probabilistic model of the problem, for which sub-optimal solutions can be found effectively. Our 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 mice reveal superiority of our technique over random sampling and even distribution in the $q\tau$ space.
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Communication dans un congrès
MICCAI 2017 Workshop on Computational Diffusion MRI (CDMRI 2017), Sep 2017, Québec City, Canada
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https://hal.inria.fr/hal-01562617
Contributeur : Patryk Filipiak <>
Soumis le : jeudi 20 juillet 2017 - 09:18:17
Dernière modification le : vendredi 31 août 2018 - 09:03:57

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  • HAL Id : hal-01562617, version 3

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Patryk Filipiak, Rutger Fick, Alexandra Petiet, Mathieu Santin, Anne-Charlotte Philippe, et al.. Spatio-Temporal dMRI Acquisition Design: Reducing the Number of $q\tau$ Samples Through a Relaxed Probabilistic Model. MICCAI 2017 Workshop on Computational Diffusion MRI (CDMRI 2017), Sep 2017, Québec City, Canada. 〈hal-01562617v3〉

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