Spread spectrum magnetic resonance imaging.
- Puy G Institute of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. gilles.puy@epfl.ch
- Marques JP
- Gruetter R
- Thiran JP
- Van De Ville D
- Vandergheynst P
- Wiaux Y
- 2011-11-02
Published in:
- IEEE transactions on medical imaging. - 2012
Algorithms
Brain
Computer Simulation
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Nonlinear Dynamics
Phantoms, Imaging
Reproducibility of Results
English
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.
- Language
-
- English
- Open access status
- green
- Identifiers
-
- DOI 10.1109/TMI.2011.2173698
- PMID 22042149
- Persistent URL
- https://sonar.ch/global/documents/105394
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