Table 2:
Quantitative comparison with other topological correction methods on human infant MRI dataset with real topological errors. The symbol * indicates our proposed AC-U-Net method is significantly better than the competing methods (p < 0.05) based on the paired t-test in terms of DR.
| Method | SR | DR (mean ± std) | ASD (mean ± std) |
|---|---|---|---|
| *Brainsuite | 15.63% | 97.30 ± 1.71% | 0.031 ± 0.021 mm |
| *FreeSurfer | 83.04% | 85.59 ± 3.16% | 0.203 ± 0.079 mm |
| *TPLS | 84.38% | 97.42 ± 1.67% | 0.031 ± 0.024 mm |
| *SDLM | 90.63% | 93.67 ± 1.60% | 0.063 ± 0.029 mm |
| *U-Net(ours) | 91.52% | 97.63 ± 1.37% | 0.024 ± 0.015 mm |
| AC-U-Net(ours) | 92.41% | 98.78 ± 0.78% | 0.013 ± 0.010 mm |