Spread spectrum magnetic resonance imaging

Gilles Puy*, Jose P. Marques, Rolf Gruetter, Jean-Philippe Thiran, Dimitri Van De Ville, Pierre Vandergheynst, Yves Wiaux

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)


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 κ-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 κ-space under-sampling approaches. © 2011 IEEE.

Original languageEnglish
Article number6061962
Pages (from-to)586-598
Number of pages13
JournalIEEE Transactions on Medical Imaging
Issue number3
Publication statusPublished - Mar 2012


  • Compressed sensing
  • magnetic resonance imaging (MRI)
  • spread spectrum

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software


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