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l0-deconvolution for compressive diffusion MRI

Type of publication Peer-reviewed
Publikationsform Proceedings (peer-reviewed)
Publication date 2013
Author Daducci A., Auria A., Thiran J.-Ph., Wiaux Y.,
Project Advanced signal processing on the sphere for high angular resolution diffusion magnetic resonance imaging
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Proceedings (peer-reviewed)

Title of proceedings BASP Frontiers 2013
Place Villars-sur-Ollon

Open Access

URL http://infoscience.epfl.ch/record/183889
Type of Open Access Repository (Green Open Access)

Abstract

Diffusion MRI is a well established imaging modality providing a powerful way to non-invasively probe the structure of the white matter. Despite the potential of the technique, the intrinsic long scan times of these sequences have hampered their use in clinical practice. For this reason, a wide variety of methods have been proposed to shorten acquisition times. [...] We here review a recent work where we propose to further exploit the versatility of compressed sensing and convex optimization with the aim to characterize the fiber orientation distribution sparsity more optimally. We re-formulate the spherical deconvolution problem as a constrained l0 minimization.
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