l0-deconvolution for compressive diffusion MRI

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Serval ID
serval:BIB_9C2AE9B24666
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
Collection
Publications
Institution
Title
l0-deconvolution for compressive diffusion MRI
Title of the conference
International Biomedical and Astronomical Signal Processing (BASP) Frontiers Workshop
Author(s)
Daducci A., Auria Rasclosa A., Thiran J.P., Wiaux Y.
Address
Villars-sur-Ollon, Switzerland, January 27-February 1, 2013
Publication state
Published
Issued date
2013
Language
english
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.
Keywords
CIBM-SPC, LTS5
Create date
06/01/2014 20:46
Last modification date
20/08/2019 15:02
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