Curvelets as a sparse basis for compressed sensing magnetic resonance imaging

David S. Smith; Lori R. Arlinghaus; Thomas E. Yankeelov; Edward B. Welch

doi:10.1117/12.2007032

13 March 2013 Curvelets as a sparse basis for compressed sensing magnetic resonance imaging

David S. Smith, Lori R. Arlinghaus, Thomas E. Yankeelov, Edward B. Welch

Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 866929 (2013) https://doi.org/10.1117/12.2007032
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

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.

Citation Download Citation

David S. Smith, Lori R. Arlinghaus, Thomas E. Yankeelov, and Edward B. Welch "Curvelets as a sparse basis for compressed sensing magnetic resonance imaging", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866929 (13 March 2013); https://doi.org/10.1117/12.2007032

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