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. Author manuscript; available in PMC: 2024 Mar 6.
Published in final edited form as: IEEE Trans Comput Imaging. 2023 Mar 6;9:260–275. doi: 10.1109/tci.2023.3252268

TABLE I.

Quantitative comparisons on 2D datasets with 4-fold undersampling using Cartesian 1D non-uniform variable-density mask. PSNR in dB, SSIM, and mean run-time per slice in seconds are reported. The PSNR and SSIM values are in mean ± standard deviation format.

Four-fold Knee MRI

Methods PSNR SSIM Run-time
SENSE 33.04 ± 1.44 0.986 ± 0.023 0.07s
MOL-SN 34.86 ± 1.26 0.987 ± 0.019 0.32s
DE-GRAD 34.47 ± 1.39 0.987 ± 0.021 0.26s
MOL-LR 38.34 ± 0.83 0.993 ± 0.005 0.47s
MoDL 38.74 ± 0.77 0.993 ± 0.005 0.19s
MoDL-LR 36.53 ± 1.01 0.990 ± 0.010 0.19s
ADMM-Net 38.63 ± 0.78 0.993 ± 0.005 0.20s
ADMM-Net-LR 36.45 ± 1.02 0.990 ± 0.010 0.20s
UNET 35.12 ± 1.19 0.988 ± 0.013 0.08s
UNET-LR 33.76 ± 1.40 0.986 ± 0.022 0.08s