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 | 3.11 | 4.03 | 3.57 | 6 minutes | 2 to 5 points (2.6 avg) | ||
ShapeRegression Schaap et al. |
X | 6.36 | 3.53 | 4.94 | 22 minutes | 2.2 | ||
CNNTracker Wolterink et al. |
X | 6.34 | 3.97 | 5.16 | 10 s | Typically 1 seed. | ||
ModelDrivenCenterline Zheng et al. |
X | 10.44 | 2.72 | 6.58 | 1 min | No | ||
BayesianMaxPaths Lesage et al. |
X | 4.56 | 10.81 | 7.69 | 4 minutes | Point S and point E | ||
Tracer Szymczak |
X | 9.08 | 6.94 | 8.01 | 30 minutes | Point S and point E | ||
SupervisedExtraction Kitamura et al. |
X | 11.19 | 5.53 | 8.36 | 2 minutes and 40 seconds | |||
VirtualContrast2b Wang and Smedby |
X | 9.02 | 9.63 | 9.33 | 2 minutes | 3 points | ||
COR Analyzer |
X | 12.75 | 6.00 | 9.37 | 4-6 min | |||
HOT tractography Cetin et al. |
X | 6.07 | 12.84 | 9.46 | <30 sec. | avg 0.5 seed per vessel (1 seed per vessel tree) | ||
KnowledgeBasedMinPath Krissian et al. |
X | 4.05 | 15.66 | 9.86 | 7 hours | Point E | ||
DepthFirstModelFit Zambal et al. |
X | 10.79 | 8.97 | 9.88 | 4-8 minutes | |||
VesselTractography Cetin et al. |
X | 7.32 | 14.28 | 10.80 | 8-10 min | Point U | ||
Statistical ranking based MHT Selvan et al. |
X | 9.46 | 15.38 | 12.42 | 3 seconds per scan | Seedpoint B | ||
CocomoBeach Kitslaar et al. |
X | 15.74 | 9.44 | 12.59 | 70 seconds | |||
TwoPointMinCost Metz et al. |
X | 8.60 | 16.88 | 12.74 | 12 minutes | Point S and point E | ||
GFVCoronaryExtractor Yang et al. |
X | 11.67 | 14.38 | 13.02 | 2 minutes | None | ||
GVFTube'n'Linkage Bauer and Bischof |
X | 13.28 | 14.78 | 14.03 | 10 minutes | |||
StatisticalTracking Wang et al. |
X | 11.84 | 16.69 | 14.27 | 45 minutes | Point S | ||
3DInteractiveTrack Zhang et al. |
X | 14.63 | 18.50 | 16.56 | 3-6 minutes | 3 to 10 points | ||
CoronaryTreeMorphoRec Castro et al. |
X | 17.84 | 20.06 | 18.95 | 30 minutes | Point S | ||
TubSurfGradFlow Mohan et al. |
X | 21.97 | 21.97 | 21.97 | 3 to 5 points | |||
AutoCoronaryTree Tek et al. |
X | 21.97 | 21.97 | 21.97 | < 30 seconds | |||
VirtualContrast Wang and Smedby |
X | 21.97 | 21.97 | 21.97 | 5 minutes | |||
AxialSymmetry Dikici et al. |
X | 21.97 | 21.97 | 21.97 | 5 minutes | Point E | ||
ElasticModel Hernández Hoyos et al. |
X | 21.97 | 21.97 | 21.97 | 2-6 minutes | Global intens. thresh. + 1 point per axis |
Overlap measures
Method | Challenge | OV | OF | OT | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | % | score | rank | % | score | rank | % | score | rank | |
MHT Friman et al. |
X | 99.3 | 91.6 | 2.88 | 94.6 | 83.2 | 3.88 | 99.5 | 90.0 | 2.56 | ||
ShapeRegression Schaap et al. |
X | 95.5 | 77.7 | 5.88 | 73.4 | 64.6 | 7.78 | 96.0 | 81.8 | 5.41 | ||
CNNTracker Wolterink et al. |
X | 95.7 | 66.9 | 8.97 | 87.1 | 78.3 | 4.72 | 97.1 | 79.8 | 5.34 | ||
ModelDrivenCenterline Zheng et al. |
X | 92.4 | 54.3 | 12.13 | 80.6 | 58.0 | 9.22 | 93.4 | 65.3 | 9.97 | ||
BayesianMaxPaths Lesage et al. |
X | 97.6 | 82.3 | 4.06 | 86.1 | 77.2 | 5.22 | 97.7 | 83.0 | 4.41 | ||
Tracer Szymczak |
X | 92.2 | 68.5 | 8.19 | 68.0 | 52.9 | 10.59 | 92.8 | 68.3 | 8.47 | ||
SupervisedExtraction Kitamura et al. |
X | 91.2 | 53.7 | 13.44 | 84.1 | 62.9 | 9.81 | 93.6 | 68.1 | 10.31 | ||
VirtualContrast2b Wang and Smedby |
X | 93.7 | 64.4 | 9.00 | 69.7 | 56.8 | 9.91 | 94.4 | 70.3 | 8.16 | ||
COR Analyzer |
X | 86.8 | 55.0 | 14.34 | 76.1 | 54.2 | 11.31 | 88.2 | 60.8 | 12.59 | ||
HOT tractography Cetin et al. |
X | 97.3 | 79.9 | 5.78 | 85.0 | 71.0 | 7.16 | 97.7 | 79.5 | 5.28 | ||
KnowledgeBasedMinPath Krissian et al. |
X | 98.1 | 88.1 | 3.78 | 92.7 | 85.3 | 4.38 | 98.1 | 89.4 | 4.00 | ||
DepthFirstModelFit Zambal et al. |
X | 89.2 | 52.2 | 13.56 | 78.3 | 60.3 | 9.50 | 93.0 | 67.3 | 9.31 | ||
VesselTractography Cetin et al. |
X | 97.1 | 75.0 | 6.72 | 79.3 | 61.8 | 8.78 | 97.6 | 75.3 | 6.47 | ||
Statistical ranking based MHT Selvan et al. |
X | 91.3 | 62.3 | 11.50 | 77.9 | 63.2 | 9.03 | 94.4 | 75.5 | 7.84 | ||
CocomoBeach Kitslaar et al. |
X | 80.2 | 44.3 | 17.16 | 66.4 | 41.7 | 13.66 | 81.6 | 48.1 | 16.41 | ||
TwoPointMinCost Metz et al. |
X | 93.3 | 71.2 | 8.16 | 67.8 | 57.8 | 9.41 | 93.5 | 72.5 | 8.22 | ||
GFVCoronaryExtractor Yang et al. |
X | 90.3 | 50.7 | 14.28 | 74.6 | 57.6 | 10.47 | 94.0 | 64.6 | 10.25 | ||
GVFTube'n'Linkage Bauer and Bischof |
X | 89.6 | 53.0 | 14.16 | 66.6 | 45.3 | 12.97 | 91.5 | 58.4 | 12.72 | ||
StatisticalTracking Wang et al. |
X | 85.3 | 45.4 | 14.72 | 82.5 | 64.3 | 8.47 | 89.5 | 59.8 | 12.34 | ||
3DInteractiveTrack Zhang et al. |
X | 91.6 | 54.2 | 13.41 | 57.9 | 36.1 | 15.88 | 92.0 | 51.8 | 14.59 | ||
CoronaryTreeMorphoRec Castro et al. |
X | 72.6 | 38.9 | 18.00 | 45.6 | 27.3 | 17.38 | 73.8 | 41.0 | 18.13 | ||
TubSurfGradFlow Mohan et al. |
X | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | ||
AutoCoronaryTree Tek et al. |
X | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | ||
VirtualContrast Wang and Smedby |
X | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | ||
AxialSymmetry Dikici et al. |
X | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | ||
ElasticModel Hernández Hoyos et al. |
X | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 | 0.0 | 0.0 | 21.97 |