
Proceedings Paper
Curvelets as a sparse basis for compressed sensing magnetic resonance imagingFormat | Member Price | Non-Member Price |
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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
Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)
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)
Lori R. Arlinghaus, Vanderbilt Univ. (United States)
Thomas E. Yankeelov, Vanderbilt Univ. (United States)
Edward B. Welch, 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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