## 5 Results and Discussion
### Quantitative Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multicolumn{1}{c}{**fastMRI Brain**} & \multicolumn{4}{c}{**T2 WI**} \\ \hline \hline
**Methods** & \multicolumn{2}{c}{**T1 WI**} & \multicolumn{4}{c}{**T2 WI**} \\ \hline \hline
**PSNR \(\uparrow\) 3** & **SSIM \(\uparrow\)** & **RLNE \(\downarrow\) 4** & **PSNR \(\uparrow\)** & **SSIM \(\uparrow\)** & **RLNE \(\downarrow\)** \\ \hline \multicolumn{1}{c}{1D Random 4\(\times\) (Mean (Standard))} & & & & & \\ \hline ZF 1  & 27.204 (1.763) & 0.735 (0.060) & 0.158 (0.039) & 25.801 (1.268) & 0.790 (0.040) & 0.195 (0.024) \\ \hline U-Net [51] & 36.619 (1.103) & 0.932 (0.020) & 0.053 (0.010) & 32.789 (1.042) & 0.929 (0.023) & 0.087 (0.009) \\ \hline STUN [15] & 38.195 (1.326) & 0.944 (0.018) & 0.044 (0.009) & 34.325 (1.815) & 0.940 (0.030) & 0.074 (0.017) \\ \hline PC-UNet [47] & 41.078 (1.172) & 0.966 (0.012) & 0.031 (0.006) & 37.237 (1.133) & 0.960 (0.017) & 0.052 (0.006) \\ \hline MINet [49] & 37.327 (1.352) & 0.936 (0.019) & 0.049 (0.011) & 33.264 (1.230) & 0.932 (0.027) & 0.083 (0.011) \\ \hline DuDoCAF [27] & 40.915 (0.998) & 0.962 (0.011) & 0.032 (0.005) & 36.937 (1.059) & 0.956 (0.018) & 0.054 (0.006) \\ \hline DuDoRNet [14] & 39.917 (1.146) & 0.963 (0.012) & 0.036 (0.007) & 35.959 (1.137) & 0.955 (0.018) & 0.061 (0.008) \\ \hline \multicolumn{1}{c}{MHCFIN 2} & **42.969 (1.238)** & **0.974 (0.010)** & **0.025 (0.005)** & **38.815 (1.183)** & **0.968 (0.015)** & **0.044 (0.006)** \\ \hline \multicolumn{1}{c}{1D Random 8\(\times\) (Mean (Standard))} & & & & & \\ \hline ZF & 22.572 (1.057) & 0.620 (0.065) & 0.265 (0.045) & 21.764 (1.054) & 0.673 (0.041) & 0.310 (0.033) \\ \hline U-Net [51] & 33.965 (1.239) & 0.910 (0.024) & 0.072 (0.016) & 30.485 (0.978) & 0.906 (0.031) & 0.113 (0.011) \\ \hline STUN [15] & 34.297 (1.349) & 0.893 (0.028) & 0.069 (0.017) & 30.634 (1.284) & 0.905 (0.037) & 0.112 (0.017) \\ \hline PC-UNet [47] & 37.845 (1.125) & 0.951 (0.016) & 0.046 (0.009) & 34.515 (1.073) & 0.939 (0.024) & 0.080 (0.009) \\ \hline MINet [49] & 33.070 (1.522) & 0.896 (0.028) & 0.081 (0.022) & 28.933 (1.418) & 0.889 (0.044) & 0.137 (0.023) \\ \hline DuDoCAF [27] & 37.443 (0.888) & 0.945 (0.017) & 0.050 (0.008) & 33.675 (0.965) & 0.937 (0.022) & 0.079 (0.008) \\ \hline DuDoRNet [14] & 34.283 (1.229) & 0.908 (0.023) & 0.069 (0.016) & 30.544 (1.009) & 0.907 (0.031) & 0.113 (0.011) \\ \hline MHCFIN & **39.896 (1.073)** & **0.964 (0.014)** & **0.036 (0.006)** & **35.235 (1.049)** & **0.948 (0.025)** & **0.065 (0.007)** \\ \hline \multicolumn{1}{c}{1D Random 12\(\times\) (Mean (Standard))} & & & & & \\ \hline ZF & 20.805 (0.999) & 0.548 (0.071) & 0.324 (0.050) & 20.400 (1.005) & 0.602 (0.041) & 0.362 (0.036) \\ \hline U-Net [51] & 25.881 (1.025) & 0.741 (0.050) & 0.181 (0.031) & 22.564 (0.967) & 0.726 (0.054) & 0.282 (0.025) \\ \hline STUN [15] & 31.697 (1.427) & 0.857 (0.038) & 0.094 (0.025) & 28.155 (1.485) & 0.864 (0.053) & 0.150 (0.027) \\ \hline PC-UNet [47] & 34.951 (1.493) & 0.912 (0.030) & 0.064 (0.015) & 31.752 (1.067) & 0.922 (0.032) & 0.098 (0.011) \\ \hline MINet [49] & 30.157 (1.680) & 0.842 (0.043) & 0.113 (0.033) & 26.684 (1.806) & 0.851 (0.066) & 0.179 (0.041) \\ \hline DuDoCAF [27] & 34.077 (1.017) & 0.910 (0.020) & 0.070 (0.012) & 31.404 (0.879) & 0.915 (0.025) & 0.102 (0.009) \\ \hline DuDoRNet [14] & 31.386 (1.253) & 0.865 (0.032) & 0.097 (0.022) & 27.901 (0.971) & 0.865 (0.039) & 0.153 (0.015) \\ \hline MHCFIN & **35.571 (0.963)** & **0.914 (0.028)** & **0.059 (0.011)** & **32.607 (0.903)** & **0.929 (0.029)** & **0.089 (0.008)** \\ \hline \hline \end{tabular}  
* 1 zero-filled, 2 multi-hierarchical complementary feature interaction network, 3 the higher the better, 4 the lower the better. The best results are labeled in bold.  
\end{table} 
Table 1: Quantitative comparison of different reconstruction methods on fastMRI brain datasets in 1D random undersampling pattern with three acceleration factors.