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. Author manuscript; available in PMC: 2022 Aug 18.
Published in final edited form as: IEEE Trans Comput Imaging. 2021 Jan 8;7:209–223. doi: 10.1109/tci.2021.3049648

TABLE IV:

Comparison of RMSE and SSIM for different algorithms for undersampled data with 20 dB measurement SNR, for the simulation study, computed on an ensemble of 50 images. The values outside the parentheses denote the ensemble mean values of the metric, where as the values inside the parentheses denote the standard deviation (SD) of the metric.

Algorithm Knee (in dist.) 8x Knee (in dist.) 20x Brain (in dist.) 8x Brain (in dist.) 20x
RMSE mean (RMSE SD) SSIM mean (SSIM SD) RMSE mean (RMSE SD) SSIM mean (SSIM SD) RMSE mean (RMSE SD) SSIM mean (SSIM SD) RMSE mean (RMSE SD) SSIM mean (SSIM SD)
PLS-TV 0.0122
(0.0033)
0.9736
(0.0108)
0.0178
(0.0050)
0.9556
(0.0172)
0.0228
(0.0033)
0.9609
(0.0093)
0.0473
(0.0098)
0.8798
(0.0337)

CSGM-GAN 0.0381
(0.0157)
0.8808
(0.0485)
0.0389
(0.0154)
0.8753
(0.0470)
0.0721
(0.0318)
0.8174
(0.0633)
0.0725
(0.0249)
0.8153
(0.0598)

IAGAN-TV 0.0099
(0.0026)
0.9844
(0.0064)
0.0140
(0.0041)
0.9705
(0.0135)
0.0148
(0.0024)
0.9794
(0.0061)
0.0246
(0.0043)
0.9483
(0.0146)

INN Proj. TV 0.0102
(0.0027)
0.9829
(0.0070)
0.0147
(0.0042)
0.9678
(0.0137)
0.0163
(0.0028)
0.9723
(0.0086)
0.0262
(0.0049)
0.9414
(0.0177)