Coronary artery segmentation and skeletonization based on competing fuzzy connectedness tree.

@article{fuzzy, abstract = {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.}, address = {CMIV, Link\"{o}ping University Hospital, SE-58185 Link\"{o}ping, Sweden. wcl\_sd@hotmail.com}, author = {Wang, C. and Smedby, O.}, citeulike-article-id = {3020901}, journal = {Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention}, keywords = {fuzzy, segmentation, vessel}, number = {Pt 1}, pages = {311--318}, posted-at = {2008-07-19 15:02:01}, priority = {2}, title = {Coronary artery segmentation and skeletonization based on competing fuzzy connectedness tree.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/18051073}, volume = {10}, year = {2007} }

TY - JOUR ID - fuzzy L3 - citeulike-article-id:3020901 N2 - 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. IS - Pt 1 JF - Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention AD - CMIV, Linköping University Hospital, SE-58185 Linköping, Sweden. wcl_sd@hotmail.com EP - 318 TI - Coronary artery segmentation and skeletonization based on competing fuzzy connectedness tree. VL - 10 SP - 311 KW - fuzzy KW - segmentation KW - vessel AU - Wang, C AU - Smedby, O PY - 2007/// UR - http://view.ncbi.nlm.nih.gov/pubmed/18051073 ER -