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[Preprint]. 2023 Dec 29:arXiv:2312.17670v1. [Version 1]

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