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Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields

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Figure

Fig. 1 Optimization framework of the proposed CD-SFCRF framework for sparse reconstruction from compressive sensing MRI
Table 1 Description of the prostate T2w and DWI images
Fig. 3 Radial k-space sampling pattern at 32 % sampling rate
Table 2 PSNR ± standard deviation (stdev) for T2w images for the patient data experiments (24 images/patient for 20 patients) acrossdifferent methods with P-values comparing L2 and HL0 methods with CD-SFCRF, respectively
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