New interface

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

1 ATHENA - Computational Imaging of the Central Nervous System
CRISAM - Inria Sophia Antipolis - Méditerranée
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.
Keywords :
Document type :
Conference papers
Domain :
Complete list of metadata

Cited literature [22 references]

https://hal.inria.fr/hal-01562617
Contributor : Patryk Filipiak Connect in order to contact the contributor
Submitted on : Thursday, July 20, 2017 - 9:18:17 AM
Last modification on : Friday, September 2, 2022 - 12:36:11 PM

### Files

main.pdf
Files produced by the author(s)

### Identifiers

• HAL Id : hal-01562617, version 3

### Citation

Patryk Filipiak, Rutger H.J. 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⟩

Record views