Semi-automatic vessel tracking and segmentation using epicardial ultrasound in bypass surgery

Alex Skovsbo Jorgensen, Samuel Emil Schmidt, Niels-Henrik Staalsen, Lasse Riis Ostergaard
2012 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society  
Epicardial ultrasound has been suggested as an alternative approach for assessing the quality of coronary artery bypass graft anastomoses. Using automatic tracking and segmentation of the anastomotic vessel lumen in transverse epicardial ultrasound images it is possible to quantitatively assess the stenosis degree of surgical errors. We propose an automatic vessel tracking and segmentation framework that can detect, track, and segment vessels through ultrasound sequences with the purpose of
more » ... the purpose of enabling stenosis quantification. An average accuracy of 92.86% in detecting vessels was obtained 78.51% of the vessel segmentations were assessed as correct.
doi:10.1109/embc.2012.6346430 pmid:23366391 dblp:conf/embc/JorgensenSSO12 fatcat:md3tqmwj6zhgvbuwb7juv5hjpy