TABLE I.

Mean values of quantitative metrics for different models on the simulated datasets (standard deviation IN PARENTHESES). ↓ indicates lower values being more accurate, and vice versa.

Methods	PSNR / dB ↑	SSIM ↑	NRMSE ↓	NCC ↑	run time / min ↓
Simulated adult brain data
SVRTK [4]	28.71 (3.33)	0.8861 (0.0459)	0.1129 (0.0452)	0.8706 (0.0598)	24.57 (3.42)
SVR-GPU [13]	26.68 (4.38)	0.7526 (0.1936)	0.1518 (0.0867)	0.7360 (0.2775)	11.63 (2.23)
NeSVoR	28.85 (3.22)	0.8901 (0.0317)	0.1103 (0.0427)	0.8772 (0.0526)	6.13 (0.30)
Simulated fetal brain data
SVRTK [4]	22.10 (2.39)	0.8694 (0.0792)	0.1772 (0.0504)	0.6517 (0.2007)	8.38 (2.83)
SVR-GPU [13]	21.64 (0.70)	0.8031 (0.0460)	0.1809 (0.0169)	0.6552 (0.0779)	2.36 (0.87)
NiftyMIC [14]	21.09 (2.20)	0.7919 (0.1651)	0.1978 (0.0525)	0.5647 (0.2445)	189.24 (79.81)
NeSVoR	23.63 (1.17)	0.9290 (0.0354)	0.1446 (0.0199)	0.7804 (0.055)	1.92 (0.09)