Research Article
Compressed Sensing MRI Reconstruction from Highly Undersampled -Space Data Using Nonsubsampled Shearlet Transform Sparsity Prior
Figure 10
Performance with noise standard deviation 10.2 for a water phantom. (a) The noisy fully sampled reconstruction, (b) added noise magnitude, and (c)~(g) reconstructed images using zero-filling, TV-CG, ODWT-based, SFLCT-based, and the proposed NSST-based CS-MRI method, respectively. The PSNRs of (c)~(g) are 23.76, 31.31, 28.64, 30.34, and 32.52, respectively. (h)~(l) The difference images between fully sampled MR image and reconstruction images (c)~(g), respectively. The RLNEs of them are 0.1364, 0.0589, 0.0778, 0.0639, and 0.0498, respectively.
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