On digital distance transforms in three dimensions
Computer Vision and Image Understanding
Penalized-Distance Volumetric Skeleton Algorithm
IEEE Transactions on Visualization and Computer Graphics
Vessel Extractio Techniques and Algorithms: A Survey
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
Particle filters, a quasi-monte carlo solution for segmentation of coronaries
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Non-rigid multi-modal registration of coronary arteries using SIFTflow
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
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We propose a new segmentation algorithm based on competing fuzzy connectedness theory, which is then used for visualizing coronary arteries in 3D CT angiography (CTA) images. The major difference compared to other fuzzy connectedness algorithms is that an additional data structure, the connectedness tree, is constructed at the same time as the seeds propagate. In preliminary evaluations, accurate result have been achieved with very limited user interaction. In addition to improving computational speed and segmentation results, the fuzzy connectedness tree algorithm also includes automated extraction of the vessel centerlines, which is a promising approach for creating curved plane reformat (CPR) images along arteries' long axes.