A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is
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 ofdoi:10.1109/embc.2012.6346430 pmid:23366391 dblp:conf/embc/JorgensenSSO12 fatcat:md3tqmwj6zhgvbuwb7juv5hjpy