BMC Biomedical Engineering

Table 2 The objective evalution on the regular CS-MRI inversions and their DECN frameworks

From: A deep error correction network for compressed sensing MRI

Sampling pattern	Cartesian under-sampling						Random under-sampling
Sampling ratio	20%		30%		40%		20%		30%		40%
Evaluation index	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM	PSNR	SSIM
TLMRI	31.27	0.864	32.86	0.868	35.99	0.896	35.13	0.878	36.46	0.882	37.26	0.891
PANO	30.71	0.858	32.65	0.889	37.40	0.940	36.94	0.931	39.36	0.949	40.74	0.957
GBRWT	30.61	0.853	32.27	0.879	37.19	0.932	36.81	0.908	39.16	0.932	40.72	0.944
DC-CNN	32.58	0.885	34.67	0.905	39.52	0.955	38.54	0.937	40.91	0.953	42.47	0.961
TLMRI-DECN	32.77	0.876	34.41	0.891	38.62	0.944	37.60	0.930	39.54	0.944	40.72	0.949
PANO-DECN	32.57	0.864	34.43	0.891	39.27	0.953	38.51	0.940	40.88	0.956	42.42	0.963
GBRWT-DECN	32.58	0.869	34.41	0.891	39.07	0.950	38.48	0.940	40.79	0.955	42.36	0.963
DC-CNN-DECN	33.06	0.898	35.34	0.922	39.92	0.956	38.86	0.939	41.06	0.954	42.58	0.962
△ TLMRI	1.50	0.012	1.55	0.023	2.63	0.048	2.47	0.052	3.08	0.062	3.46	0.068
△ PANO	1.86	0.006	1.78	0.002	1.87	0.012	1.57	0.010	1.52	0.006	1.68	0.006
△ GBRWT	1.97	0.016	2.14	0.012	1.88	0.018	1.67	0.032	1.63	0.023	1.64	0.019
△ DC-CNN	0.48	0.013	0.67	0.017	0.40	0.010	0.32	0.002	0.15	0.001	0.11	0.010

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