Results
Show: Training | Testing | CustomOverall
| Method | Challenge | Avg. Ov. | Avg. Acc. | Avg. | Computation time | User-interaction | ||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | rank | rank | rank | (per dataset) | (per vessel) | |
| MHT Friman et al. |
X | 3.19 | 2.70 | 2.95 | 6 minutes | 2 to 5 points (2.6 avg) | ||
| ShapeRegression Schaap et al. |
X | 4.41 | 2.18 | 3.30 | 22 minutes | 2.2 | ||
| VirtualContrast2b Wang and Smedby |
X | 5.41 | 5.67 | 5.54 | 2 minutes | 3 points | ||
| Tracer Szymczak |
X | 7.08 | 4.47 | 5.78 | 30 minutes | Point S and point E | ||
| BayesianMaxPaths Lesage et al. |
X | 3.65 | 8.41 | 6.03 | 4 minutes | Point S and point E | ||
| DepthFirstModelFit Zambal et al. |
X | 10.32 | 5.79 | 8.06 | 4-8 minutes | |||
| COR Analyzer |
X | 11.20 | 5.26 | 8.23 | 4-6 min | |||
| GFVCoronaryExtractor Yang et al. |
X | 7.98 | 8.49 | 8.24 | 2 minutes | None | ||
| VesselTractography Cetin et al. |
X | 6.84 | 12.82 | 9.83 | 8-10 min | Point U | ||
| KnowledgeBasedMinPath Krissian et al. |
X | 6.96 | 13.95 | 10.46 | 7 hours | Point E | ||
| AutoCoronaryTree Tek et al. |
X | 13.09 | 9.22 | 11.16 | < 30 seconds | |||
| GVFTube'n'Linkage Bauer and Bischof |
X | 9.19 | 13.47 | 11.33 | 10 minutes | |||
| CocomoBeach Kitslaar et al. |
X | 14.07 | 8.66 | 11.37 | 70 seconds | |||
| TwoPointMinCost Metz et al. |
X | 8.84 | 14.60 | 11.72 | 12 minutes | Point S and point E | ||
| VirtualContrast Wang and Smedby |
X | 14.30 | 12.82 | 13.56 | 5 minutes | |||
| AxialSymmetry Dikici et al. |
X | 11.74 | 15.60 | 13.67 | 5 minutes | Point E | ||
| TubSurfGradFlow Mohan et al. |
X | 11.20 | 16.58 | 13.89 | 3 to 5 points | |||
| ElasticModel Hernández Hoyos et al. |
X | 14.74 | 13.91 | 14.32 | 2-6 minutes | Global intens. thresh. + 1 point per axis | ||
| 3DInteractiveTrack Zhang et al. |
X | 12.67 | 17.24 | 14.96 | 3-6 minutes | 3 to 10 points | ||
| CoronaryTreeMorphoRec Castro et al. |
X | 16.63 | 18.08 | 17.36 | 30 minutes | Point S | ||
Overlap measures
| Method | Challenge | OV | OF | OT | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | % | score | rank | % | score | rank | % | score | rank | |
| MHT Friman et al. |
X | 98.5 | 84.0 | 2.73 | 83.1 | 72.8 | 4.10 | 98.7 | 84.5 | 2.74 | ||
| ShapeRegression Schaap et al. |
X | 96.9 | 79.2 | 3.90 | 72.5 | 66.3 | 5.30 | 97.1 | 79.2 | 4.04 | ||
| VirtualContrast2b Wang and Smedby |
X | 96.7 | 73.0 | 5.21 | 74.5 | 63.3 | 6.09 | 96.9 | 74.7 | 4.92 | ||
| Tracer Szymczak |
X | 95.1 | 71.0 | 6.30 | 63.5 | 52.0 | 8.40 | 95.5 | 70.2 | 6.55 | ||
| BayesianMaxPaths Lesage et al. |
X | 97.5 | 81.6 | 3.19 | 78.8 | 70.8 | 4.39 | 97.7 | 81.5 | 3.36 | ||
| DepthFirstModelFit Zambal et al. |
X | 84.7 | 48.6 | 12.51 | 65.3 | 49.2 | 8.75 | 87.0 | 60.1 | 9.71 | ||
| COR Analyzer |
X | 87.7 | 50.3 | 12.72 | 71.7 | 47.8 | 10.35 | 89.8 | 59.5 | 10.54 | ||
| GFVCoronaryExtractor Yang et al. |
X | 93.7 | 55.9 | 9.64 | 74.2 | 52.9 | 7.88 | 95.9 | 68.5 | 6.42 | ||
| VesselTractography Cetin et al. |
X | 96.4 | 64.3 | 6.85 | 69.9 | 51.6 | 7.79 | 97.0 | 70.3 | 5.88 | ||
| KnowledgeBasedMinPath Krissian et al. |
X | 88.0 | 67.4 | 7.18 | 74.2 | 61.1 | 7.05 | 88.5 | 70.0 | 6.65 | ||
| AutoCoronaryTree Tek et al. |
X | 84.7 | 46.5 | 13.96 | 59.5 | 36.1 | 12.21 | 86.2 | 50.3 | 13.10 | ||
| GVFTube'n'Linkage Bauer and Bischof |
X | 92.7 | 52.3 | 10.85 | 71.9 | 51.4 | 8.90 | 95.3 | 67.0 | 7.81 | ||
| CocomoBeach Kitslaar et al. |
X | 78.8 | 42.5 | 15.39 | 64.4 | 40.0 | 12.21 | 81.2 | 46.9 | 14.61 | ||
| TwoPointMinCost Metz et al. |
X | 91.9 | 64.5 | 8.08 | 56.4 | 45.6 | 10.16 | 92.5 | 64.5 | 8.29 | ||
| VirtualContrast Wang and Smedby |
X | 75.6 | 39.2 | 15.95 | 56.1 | 34.5 | 12.83 | 78.7 | 45.6 | 14.11 | ||
| AxialSymmetry Dikici et al. |
X | 90.8 | 56.8 | 10.85 | 48.9 | 35.6 | 12.93 | 91.7 | 55.9 | 11.45 | ||
| TubSurfGradFlow Mohan et al. |
X | 91.1 | 53.3 | 11.48 | 65.3 | 41.9 | 10.52 | 92.2 | 53.9 | 11.61 | ||
| ElasticModel Hernández Hoyos et al. |
X | 77.0 | 40.5 | 15.66 | 52.1 | 31.5 | 13.77 | 79.0 | 45.3 | 14.78 | ||
| 3DInteractiveTrack Zhang et al. |
X | 89.6 | 51.1 | 12.18 | 49.9 | 30.5 | 13.67 | 90.6 | 52.4 | 12.17 | ||
| CoronaryTreeMorphoRec Castro et al. |
X | 67.0 | 34.5 | 17.51 | 36.3 | 20.5 | 15.25 | 69.1 | 36.7 | 17.14 | ||
Accuracy measure
| Method | Challenge | AI | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | mm | score | rank | |
| MHT Friman et al. |
X | 0.23 | 47.9 | 2.70 | ||
| ShapeRegression Schaap et al. |
X | 0.23 | 49.6 | 2.18 | ||
| VirtualContrast2b Wang and Smedby |
X | 0.27 | 41.6 | 5.67 | ||
| Tracer Szymczak |
X | 0.26 | 44.4 | 4.47 | ||
| BayesianMaxPaths Lesage et al. |
X | 0.29 | 37.0 | 8.41 | ||
| DepthFirstModelFit Zambal et al. |
X | 0.28 | 41.9 | 5.79 | ||
| COR Analyzer |
X | 0.25 | 44.8 | 5.26 | ||
| GFVCoronaryExtractor Yang et al. |
X | 0.30 | 37.1 | 8.49 | ||
| VesselTractography Cetin et al. |
X | 0.36 | 30.7 | 12.82 | ||
| KnowledgeBasedMinPath Krissian et al. |
X | 0.39 | 29.2 | 13.95 | ||
| AutoCoronaryTree Tek et al. |
X | 0.34 | 35.3 | 9.22 | ||
| GVFTube'n'Linkage Bauer and Bischof |
X | 0.37 | 29.8 | 13.47 | ||
| CocomoBeach Kitslaar et al. |
X | 0.29 | 37.7 | 8.66 | ||
| TwoPointMinCost Metz et al. |
X | 0.46 | 28.0 | 14.60 | ||
| VirtualContrast Wang and Smedby |
X | 0.39 | 30.6 | 12.82 | ||
| AxialSymmetry Dikici et al. |
X | 0.46 | 26.4 | 15.60 | ||
| TubSurfGradFlow Mohan et al. |
X | 0.47 | 24.8 | 16.58 | ||
| ElasticModel Hernández Hoyos et al. |
X | 0.40 | 29.3 | 13.91 | ||
| 3DInteractiveTrack Zhang et al. |
X | 0.51 | 24.2 | 17.24 | ||
| CoronaryTreeMorphoRec Castro et al. |
X | 0.59 | 20.7 | 18.08 | ||

