en
Scientific article
English

Spread spectrum magnetic resonance imaging

Published inIEEE transactions on medical imaging, vol. 31, no. 3, p. 586-598
Publication date2012
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
  • Algorithms
  • Brain/anatomy & histology
  • Computer Simulation
  • Humans
  • Image Processing
  • Computer-Assisted
  • Magnetic Resonance Imaging/methods
  • Nonlinear Dynamics
  • Phantoms
  • Imaging
  • Reproducibility of Results
Citation (ISO format)
PUY, Gilles et al. Spread spectrum magnetic resonance imaging. In: IEEE transactions on medical imaging, 2012, vol. 31, n° 3, p. 586–598. doi: 10.1109/TMI.2011.2173698
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Article (Published version)
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ISSN of the journal0278-0062
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Technical informations

Creation10/11/2012 9:59:00 AM
First validation10/11/2012 9:59:00 AM
Update time03/14/2023 8:01:38 PM
Status update03/14/2023 8:01:38 PM
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