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 | 3.76 | 3.89 | 3.83 | 6 minutes | 2 to 5 points (2.6 avg) | ||
| ShapeRegression Schaap et al. |
X | 5.31 | 3.13 | 4.22 | 22 minutes | 2.2 | ||
| ModelDrivenCenterline Zheng et al. |
X | 9.48 | 2.49 | 5.99 | 1 min | No | ||
| VirtualContrast2b Wang and Smedby |
X | 6.46 | 7.63 | 7.05 | 2 minutes | 3 points | ||
| Tracer Szymczak |
X | 8.57 | 6.21 | 7.39 | 30 minutes | Point S and point E | ||
| BayesianMaxPaths Lesage et al. |
X | 4.30 | 10.54 | 7.42 | 4 minutes | Point S and point E | ||
| SupervisedExtraction Kitamura et al. |
X | 11.98 | 4.30 | 8.14 | 2 minutes and 40 seconds | |||
| GFVCoronaryExtractor Yang et al. |
X | 9.61 | 10.57 | 10.09 | 2 minutes | None | ||
| DepthFirstModelFit Zambal et al. |
X | 12.54 | 7.72 | 10.13 | 4-8 minutes | |||
| HOT tractography Cetin et al. |
X | 5.99 | 14.39 | 10.19 | <30 sec. | avg 0.5 seed per vessel (1 seed per vessel tree) | ||
| COR Analyzer |
X | 13.68 | 6.86 | 10.27 | 4-6 min | |||
| VesselTractography Cetin et al. |
X | 8.32 | 15.67 | 11.99 | 8-10 min | Point U | ||
| KnowledgeBasedMinPath Krissian et al. |
X | 8.28 | 16.91 | 12.60 | 7 hours | Point E | ||
| AutoCoronaryTree Tek et al. |
X | 15.93 | 11.60 | 13.77 | < 30 seconds | |||
| GVFTube'n'Linkage Bauer and Bischof |
X | 11.19 | 16.42 | 13.80 | 10 minutes | |||
| CocomoBeach Kitslaar et al. |
X | 17.08 | 10.94 | 14.01 | 70 seconds | |||
| TwoPointMinCost Metz et al. |
X | 10.66 | 17.71 | 14.19 | 12 minutes | Point S and point E | ||
| StatisticalTracking Wang et al. |
X | 13.28 | 19.04 | 16.16 | 45 minutes | Point S | ||
| VirtualContrast Wang and Smedby |
X | 17.32 | 15.55 | 16.44 | 5 minutes | |||
| AxialSymmetry Dikici et al. |
X | 14.18 | 18.90 | 16.54 | 5 minutes | Point E | ||
| TubSurfGradFlow Mohan et al. |
X | 13.72 | 20.01 | 16.87 | 3 to 5 points | |||
| ElasticModel Hernández Hoyos et al. |
X | 17.86 | 16.94 | 17.40 | 2-6 minutes | Global intens. thresh. + 1 point per axis | ||
| 3DInteractiveTrack Zhang et al. |
X | 15.44 | 20.78 | 18.11 | 3-6 minutes | 3 to 10 points | ||
| CoronaryTreeMorphoRec Castro et al. |
X | 20.02 | 21.70 | 20.86 | 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 | 3.13 | 83.1 | 72.8 | 4.94 | 98.7 | 84.5 | 3.21 | ||
| ShapeRegression Schaap et al. |
X | 96.9 | 79.2 | 4.64 | 72.5 | 66.3 | 6.39 | 97.1 | 79.2 | 4.90 | ||
| ModelDrivenCenterline Zheng et al. |
X | 93.5 | 53.4 | 11.74 | 76.5 | 54.9 | 8.72 | 95.6 | 70.0 | 7.98 | ||
| VirtualContrast2b Wang and Smedby |
X | 96.7 | 73.0 | 6.03 | 74.5 | 63.3 | 7.40 | 96.9 | 74.7 | 5.95 | ||
| Tracer Szymczak |
X | 95.1 | 71.0 | 7.51 | 63.5 | 52.0 | 10.19 | 95.5 | 70.2 | 8.00 | ||
| BayesianMaxPaths Lesage et al. |
X | 97.5 | 81.6 | 3.69 | 78.8 | 70.8 | 5.22 | 97.7 | 81.5 | 4.00 | ||
| SupervisedExtraction Kitamura et al. |
X | 90.6 | 53.8 | 13.60 | 70.9 | 49.0 | 11.10 | 92.5 | 61.2 | 11.23 | ||
| GFVCoronaryExtractor Yang et al. |
X | 93.7 | 55.9 | 11.51 | 74.2 | 52.9 | 9.61 | 95.9 | 68.5 | 7.71 | ||
| DepthFirstModelFit Zambal et al. |
X | 84.7 | 48.6 | 15.13 | 65.3 | 49.2 | 10.73 | 87.0 | 60.1 | 11.75 | ||
| HOT tractography Cetin et al. |
X | 97.3 | 72.9 | 5.67 | 77.4 | 63.2 | 7.01 | 97.7 | 75.4 | 5.30 | ||
| COR Analyzer |
X | 87.7 | 50.3 | 15.43 | 71.7 | 47.8 | 12.71 | 89.8 | 59.5 | 12.91 | ||
| VesselTractography Cetin et al. |
X | 96.4 | 64.3 | 8.14 | 69.9 | 51.6 | 9.59 | 97.0 | 70.3 | 7.22 | ||
| KnowledgeBasedMinPath Krissian et al. |
X | 88.0 | 67.4 | 8.49 | 74.2 | 61.1 | 8.41 | 88.5 | 70.0 | 7.95 | ||
| AutoCoronaryTree Tek et al. |
X | 84.7 | 46.5 | 16.83 | 59.5 | 36.1 | 15.02 | 86.2 | 50.3 | 15.95 | ||
| GVFTube'n'Linkage Bauer and Bischof |
X | 92.7 | 52.3 | 13.14 | 71.9 | 51.4 | 10.96 | 95.3 | 67.0 | 9.46 | ||
| CocomoBeach Kitslaar et al. |
X | 78.8 | 42.5 | 18.60 | 64.4 | 40.0 | 14.94 | 81.2 | 46.9 | 17.70 | ||
| TwoPointMinCost Metz et al. |
X | 91.9 | 64.5 | 9.67 | 56.4 | 45.6 | 12.26 | 92.5 | 64.5 | 10.05 | ||
| StatisticalTracking Wang et al. |
X | 81.5 | 45.5 | 16.00 | 59.1 | 46.7 | 12.02 | 84.6 | 59.5 | 11.82 | ||
| VirtualContrast Wang and Smedby |
X | 75.6 | 39.2 | 19.23 | 56.1 | 34.5 | 15.60 | 78.7 | 45.6 | 17.14 | ||
| AxialSymmetry Dikici et al. |
X | 90.8 | 56.8 | 13.00 | 48.9 | 35.6 | 15.59 | 91.7 | 55.9 | 13.96 | ||
| TubSurfGradFlow Mohan et al. |
X | 91.1 | 53.3 | 13.95 | 65.3 | 41.9 | 12.95 | 92.2 | 53.9 | 14.27 | ||
| ElasticModel Hernández Hoyos et al. |
X | 77.0 | 40.5 | 18.93 | 52.1 | 31.5 | 16.74 | 79.0 | 45.3 | 17.90 | ||
| 3DInteractiveTrack Zhang et al. |
X | 89.6 | 51.1 | 14.73 | 49.9 | 30.5 | 16.66 | 90.6 | 52.4 | 14.92 | ||
| CoronaryTreeMorphoRec Castro et al. |
X | 67.0 | 34.5 | 21.05 | 36.3 | 20.5 | 18.39 | 69.1 | 36.7 | 20.61 | ||

