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Proceedings Paper

Curvelets as a sparse basis for compressed sensing magnetic resonance imaging
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Paper Abstract

We present an example of compressed sensing magnetic resonance imaging reconstruction where curvelets instead of wavelets provide a superior sparse basis when coupled to a group sparse representation of chemical exchange saturation transfer (CEST) imaging of the human breast. Taking a fully sampled CEST acquisition from a healthy volunteer, we retrospectively undersampled by a factor of four. We find that a group-sparse formulation of the reconstruction coupled with either Cohen-Daubechies-Feauveau 9/7 wavelets or curvelets provided superior results to a spatial-only regularized reconstruction. Between the group sparse reconstructions, the curvelet-regularized reconstruction outperformed the wavelet-regularized reconstruction.

Paper Details

Date Published: 13 March 2013
PDF: 7 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866929 (13 March 2013); doi: 10.1117/12.2007032
Show Author Affiliations
David S. Smith, Vanderbilt Univ. (United States)
Lori R. Arlinghaus, Vanderbilt Univ. (United States)
Thomas E. Yankeelov, Vanderbilt Univ. (United States)
Edward B. Welch, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)

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