Implementation: Spread spectrum magnetic resonance imaging - s2MRI

Gilles Puy tweeted about the release of the Spread spectrum MRI toolbox. From the page:

Spread spectrum magnetic resonance imaging - s2MRI

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 s2MRI, consists of pre-modulating the signal of interest by a linear chirp before random k-space under-sampling, and then reconstructing the signal with non-linear 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 s2MRI performs better than state-of-the-art variable density k-space under-sampling approaches.

Toolbox: s2MRI_toolbox.zip or s2MRI_toolbox.tar.gz.

If you use this toolbox, please cite the following paper: Puy et al., "Spread spectrum magnetic resonance imaging," IEEE Transactions on Medical Imaging, vol. 31(3), pp. 586 - 598, 2012.

Comments: gilles {DOT} puy {AT} epfl {DOT} ch

• Link to preprint
• Link to published paper

Image Credit: NASA/JPL-Caltech 
This image was taken by Navcam: Right A (NAV_RIGHT_A) onboard NASA's Mars rover Curiosity on Sol 17 (2012-08-23 17:18:51 UTC) .  
Full Resolution

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