TABLE I:

Quantitative comparison of the methods on simulated data in Fig. 3 using the signal-to-error ratio (SER), normalized high frequency error (HFEN), structural similarity index (SSIM) and global phase coherence (GPC) metrics. All of these metrics are computed in a square region of interest around the cardiac region. Higher values of the above-mentioned performance metrics correspond to better reconstruction except for the HFEN, where a lower value is better. These comparisons show that the proposed scheme performs better than the other methods except for SToRM: Self-Nav, where dedicated k-space navigators are used to estimate the Laplacian matrix.

Method	SER	SSIM	HFEN	GPC
Low Rank	16.60 ± 0.90	0.80 ± 0.03	0.42 ± 0.05	115 ± 33
SToRM: SENSE	16.47 ± 0.86	0.71 ± 0.03	0.47 ± 0.04	112 ± 60
Compressed Sensing	17.90 ± 1.60	0.80 ± 0.06	0.38 ± 0.07	106 ± 29
kt-SLR	18.60 ± 0.70	0.87 ± 0.02	0.25 ± 0.01	204 ± 35
SToRM: Self-Nav	25.01 ± 1.41	0.94 ± 0.02	0.128 ± 0.02	428 ± 113
SToRM: Two-Step	25.77 ± 1.50	0.95 ± 0.02	0.107 ± 0.02	475 ± 110