Skip to main content
. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Magn Reson Med. 2019 Mar 12;82(1):174–188. doi: 10.1002/mrm.27707

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