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Abstract:
In this paper, we present an automatic method for extracting center axis representations (centerlines) of coronary arteries in contrast enhanced (CE)-CT angiography scans. The algorithm first detects the aorta which is used as an initial mask for ostia detection. Second, the ostia locations are detected via a vessel centerline extractionmethod which tracks the center axis of the coronaries starting fromthe aorta surface. The full centerline tree of the coronary arteries is computed via the multi-scale medialness-based vessel tree extraction algorithm which starts a tracking process from the ostia locations until all the braches are reached. The centerline extraction algorithm is a graph-based optimization algorithm using multi-scale medialness filters.


Summary

Measure% / mmscorerank
 min.max.avg.min.max.avg.min.max.avg.
OV 0.0% 0.0% 0.0% 0.0 0.0 0.0 1 1 1.00
OF 0.0% 0.0% 0.0% 0.0 0.0 0.0 1 1 1.00
OT 0.0% 0.0% 0.0% 0.0 0.0 0.0 1 1 1.00
AI 0.00 mm 0.00 mm 0.00 mm 0.0 0.0 0.0 1 1 1.00
Total             1 1 1.00


All results

  OVOFOTAIAvg.
DV%scorerank%scorerank%scorerankmmscorerankrank
0 0 F F 1 F F 1 F F 1 F F 1 1.0
0 1 F F 1 F F 1 F F 1 F F 1 1.0
0 2 F F 1 F F 1 F F 1 F F 1 1.0
0 3 F F 1 F F 1 F F 1 F F 1 1.0
1 0 F F 1 F F 1 F F 1 F F 1 1.0
1 1 F F 1 F F 1 F F 1 F F 1 1.0
1 2 F F 1 F F 1 F F 1 F F 1 1.0
1 3 F F 1 F F 1 F F 1 F F 1 1.0
2 0 F F 1 F F 1 F F 1 F F 1 1.0
2 1 F F 1 F F 1 F F 1 F F 1 1.0
2 2 F F 1 F F 1 F F 1 F F 1 1.0
2 3 F F 1 F F 1 F F 1 F F 1 1.0
3 0 F F 1 F F 1 F F 1 F F 1 1.0
3 1 F F 1 F F 1 F F 1 F F 1 1.0
3 2 F F 1 F F 1 F F 1 F F 1 1.0
3 3 F F 1 F F 1 F F 1 F F 1 1.0
4 0 F F 1 F F 1 F F 1 F F 1 1.0
4 1 F F 1 F F 1 F F 1 F F 1 1.0
4 2 F F 1 F F 1 F F 1 F F 1 1.0
4 3 F F 1 F F 1 F F 1 F F 1 1.0
5 0 F F 1 F F 1 F F 1 F F 1 1.0
5 1 F F 1 F F 1 F F 1 F F 1 1.0
5 2 F F 1 F F 1 F F 1 F F 1 1.0
5 3 F F 1 F F 1 F F 1 F F 1 1.0
6 0 F F 1 F F 1 F F 1 F F 1 1.0
6 1 F F 1 F F 1 F F 1 F F 1 1.0
6 2 F F 1 F F 1 F F 1 F F 1 1.0
6 3 F F 1 F F 1 F F 1 F F 1 1.0
7 0 F F 1 F F 1 F F 1 F F 1 1.0
7 1 F F 1 F F 1 F F 1 F F 1 1.0
7 2 F F 1 F F 1 F F 1 F F 1 1.0
7 3 F F 1 F F 1 F F 1 F F 1 1.0