A 3D 6-subiteration thinning algorithm for extracting medial lines
Pattern Recognition Letters
Vessel Axis Determination Using Wave Front Propagation Analysis
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Muliscale Vessel Enhancement Filtering
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Edge Detection and Ridge Detection with Automatic Scale Selection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Hi-index | 0.00 |
A system for the automatic segmentation of the pulmonary vasculature in thoracic CT scans is presented. The method is based on a vesselness filter and includes a local thresholding procedure to accurately segment vessels of varying diameters. The output of an automatic segmentation of the airways is used to remove false positive detections in the airway walls. The algorithm is tested with a quantitative evaluation framework based on manual classification of well-dispersed local maxima and random points on ten axial sections in a scan. The algorithm has been applied to ten low dose CT scans annotated by two observers. Results show that local thresholding and airway wall removal both improve segmentation performance and that the accuracy of the proposed method approaches the interobserver variability.