Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1117/12.2007032 | Proceedings of SPIE |
Keywords | Field | DocType |
Image Processing,compressed sensing,MRI,curvelet,wavelet | Computer vision,Sparse approximation,Image processing,Artificial intelligence,Compressed sensing,Wavelet,Magnetic resonance imaging,Curvelet,Physics | Conference |
Volume | ISSN | Citations |
8669 | 0277-786X | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David S. Smith | 1 | 50 | 5.85 |
| Lori R. Arlinghaus | 2 | 11 | 3.35 |
| Thomas E. Yankeelov | 3 | 20 | 7.14 |
| E. Brian Welch | 4 | 45 | 16.66 |