Table 1:

nRMSE and SSIM between the reference T₂ maps estimated from the fully sampled images and the reconstructed T₂ maps estimated using undersampling patterns. Results were averaged over the 10 test patient datasets and represent mean value ± standard deviation. MANTIS achieved the highest reconstruction performance with te smallest errors at both R=5 and 8.

Methods	Mean ± SD at R=5		Mean ± SD at R=8
	nRMSE (%)	SSIM (%)	nRMSE (%)	SSIM (%)
GLR	13.5 ± 4.3	72.5 ± 3.7	15.0 ± 3.9	63.2 ± 4.5
LLR	12.2 ± 3.5	70.4 ± 3.1	13.9 ± 3.5	59.2 ± 3.3
k-t SLR	9.8 ± 2.4	77.5 ± 3.3	11.6 ± 2.9	70.5 ± 3.6
ALOHA	8.9 ± 2.1	80.3 ± 3.5	10.9 ± 2.7	72.6 ± 3.8
U-Net Imaging + T2 Fitting	6.5 ± 2.0	83.5 ± 3.1	8.8 ± 2.9	76.2 ± 3.2
U-Net Mapping	6.9 ± 1.8	82.3 ± 2.8	8.5 ± 2.5	78.0 ± 2.5
MANTIS	6.1 ± 1.5	86.2 ± 1.9	7.1 ± 1.8	82.1 ± 2.3