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Spread spectrum magnetic resonance imaging

Puy, Gilles
Marques, Jose P
Thiran, Jean-Philippe
Vandergheynst, Pierre
Published in IEEE Transactions on Medical Imaging. 2012, vol. 31, no. 3, p. 586-98
Abstract 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.
Keywords AlgorithmsBrain/anatomy & histologyComputer SimulationHumansImage ProcessingComputer-AssistedMagnetic Resonance Imaging/methodsNonlinear DynamicsPhantomsImagingReproducibility of Results
PMID: 22042149
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Research group Traitement d'images médicales (893)
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PUY, Gilles et al. Spread spectrum magnetic resonance imaging. In: IEEE Transactions on Medical Imaging, 2012, vol. 31, n° 3, p. 586-98. doi: 10.1109/TMI.2011.2173698 https://archive-ouverte.unige.ch/unige:26208

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Deposited on : 2013-02-05

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