Table 9.
Performance of our method with different numbers of the input slices based on the fastMRI dataset.
Number of input slices |
NMSE (× 10−3) ↓ | PSNR ↑ | SSIM (× 10−2) ↑ | Train time | Test time (each case) |
|||
---|---|---|---|---|---|---|---|---|
Mean±std | p-value | Mean±std | p-value | Mean±std | p-value | |||
15.29±0.02 | - | 40.11±3.27 | - | 94.86±0.05 | - | ~62 hours | ~58 ms | |
14.93±0.02 | 2.6e-2 | 40.39±3.30 | 5.1e-2 | 95.21±0.05 | 5.6e-3 | ~70 hours | ~60 ms | |
14.72±0.02 | 4.6e-6 | 40.49±2.88 | 3.3e-7 | 95.42±0.05 | 1.9e-8 | ~79 hours | ~64 ms | |
14.60±0.02 | 1.5e-9 | 40.55±2.92 | 6.0e-9 | 95.48±0.05 | 8.3e-12 | ~89 hours | ~69 ms | |
14.55±0.02 | 8.3e-7 | 40.58±2.90 | 9.3e-8 | 95.50±0.05 | 6.3e-10 | ~101 hours | ~73 ms | |
11 | 14.51±0.02 | 3.7e-9 | 40.62±3.02 | 7.8e-8 | 96.51±0.05 | 5.3e-11 | ~113hours | ~78 ms |