Spread spectrum magnetic resonance imaging.

Détails

ID Serval
serval:BIB_797E1C2B32DC
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Spread spectrum magnetic resonance imaging.
Périodique
IEEE Transactions On Medical Imaging
Auteur(s)
Puy G., Marques J.P., Gruetter R., Thiran J.P., Van De Ville D., Vandergheynst P., Wiaux Y.
ISSN
1558-254X (Electronic)
ISSN-L
0278-0062
Statut éditorial
Publié
Date de publication
2012
Volume
31
Numéro
3
Pages
586-598
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Résumé
We propose a novel compressed sensing technique to accelerate the magnetic resonance imaging (MRI) acquisition process. The method, coined spread spectrum MRI or simply s(2)MRI, consists of premodulating the signal of interest by a linear chirp before random k-space under-sampling, and then reconstructing the signal with nonlinear algorithms that promote sparsity. The effectiveness of the procedure is theoretically underpinned by the optimization of the coherence between the sparsity and sensing bases. The proposed technique is thoroughly studied by means of numerical simulations, as well as phantom and in vivo experiments on a 7T scanner. Our results suggest that s(2)MRI performs better than state-of-the-art variable density k-space under-sampling approaches.
Mots-clé
Algorithms, Brain/anatomy & histology, Computer Simulation, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging/methods, Nonlinear Dynamics, Phantoms, Imaging, Reproducibility of Results
Pubmed
Web of science
Création de la notice
29/04/2013 10:41
Dernière modification de la notice
03/03/2018 18:32
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