Semi-automatic vessel tracking and segmentation using epicardial ultrasound in bypass surgery.
The purpose of intraoperative quality assessment of coronary artery bypass graft surgery is to confirm graft patency and disclose technical errors to reduce cardiac mortality, morbidity and improve clinical outcome for the patient. Epicardial ultrasound has been suggested as an alternative approach for quality assessment of anastomoses. To make a quantitative assessment of the anastomotic quality using ultrasound images, the vessel border has to be delineated to estimate the area of the vessel lumen. A tracking and segmentation algorithm was developed consisting of an active contour modeling approach and quality control of the segmentations. Evaluation of the tracking algorithm showed 91.96% of the segmentations were segmented correct with a mean error in height and width at 5.65% and 11.50% respectively.
Department of Health Science and Technology, Aalborg University, Denmark.
Alex Skovsbo
AS
Jørgensen
Samuel Emil
SE
Schmidt
Niels-Henrik
NH
Staalsen
Lasse Riis
LR
Østergaard
D001026:Coronary Artery Bypass / Q000379:methods*; D003324:Coronary Artery Disease / Q000000981:diagnostic imaging* / Q000601:surgery*; D003331:Coronary Vessels / Q000000981:diagnostic imaging* / Q000601:surgery*; D004452:Echocardiography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods; D010496:Pericardium / Q000000981:diagnostic imaging / Q000601:surgery; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods*