Table 1.
Data characteristics of the TopCoW training and test sets. Values are shown in mean ± standard deviation.
| Train (n=90) | Test (n=35) | |||
|---|---|---|---|---|
| MRA | CTA | MRA | CTA | |
| Pixel Spacing (mm) | 0.30 ± 0.02 | 0.45 ± 0.06 | 0.30 ± 0.02 | 0.46 ± 0.06 |
| Slice Thickness (mm) | 0.60 ± 0.03 | 0.71 ± 0.07 | 0.60 ± 0.04 | 0.73 ± 0.02 |
| Whole image size in X (mm) | 143.73 ± 6.59 | 136.54 ± 5.76 | 144.73 ± 7.48 | 137.63 ± 7.07 |
| Whole image size in Y (mm) | 174.02 ± 8.66 | 170.35 ± 9.42 | 173.09 ± 8.05 | 169.96 ± 9.71 |
| Whole image size in Z (mm) | 111.53 ± 11.07 | 148.96 ± 8.87 | 111.34 ± 9.81 | 149.11 ± 7.86 |
| CoW ROI size in X (mm) | 44.90 ± 3.94 | 45.51 ± 4.14 | 49.06 ± 4.46 | 49.63 ± 4.73 |
| CoW ROI size in Y (mm) | 34.78 ± 3.19 | 33.51 ± 3.88 | 36.25 ± 3.38 | 35.75 ± 3.43 |
| CoW ROI size in Z (mm) | 22.23 ± 3.10 | 20.92 ± 3.08 | 23.44 ± 3.36 | 21.38 ± 3.68 |