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. Author manuscript; available in PMC: 2016 Nov 1.
Published in final edited form as: Neuroimage. 2015 Jul 11;121:205–216. doi: 10.1016/j.neuroimage.2015.07.018

Fig. 7.

Fig. 7

Simulated ASL images reconstructed by compressed sensing. The complex Gaussian noise in initial images (a) was suppressed by the compressed sensing reconstruction with spatial TV constraint (b) and model-based sparsity (c). By combining spatial and model-based sparsity, the image quality is improved further (d). The noiseless image (e) is shown for reference.