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Semi-automatic vessel tracking and segmentation using epicardial ultrasound in bypass surgery.
- Source :
-
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2012; Vol. 2012, pp. 2331-4. - Publication Year :
- 2012
-
Abstract
- 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.
- Subjects :
- Humans
Pattern Recognition, Automated methods
Pericardium diagnostic imaging
Pericardium surgery
Reproducibility of Results
Sensitivity and Specificity
Coronary Artery Bypass methods
Coronary Artery Disease diagnostic imaging
Coronary Artery Disease surgery
Coronary Vessels diagnostic imaging
Coronary Vessels surgery
Echocardiography methods
Surgery, Computer-Assisted methods
Subjects
Details
- Language :
- English
- ISSN :
- 2694-0604
- Volume :
- 2012
- Database :
- MEDLINE
- Journal :
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
- Publication Type :
- Academic Journal
- Accession number :
- 23366391
- Full Text :
- https://doi.org/10.1109/EMBC.2012.6346430