In echocardiography, left ventricle detection is a common practice in order to retrieve indexes of myocardial health. Although a great attention has been given to the segmentation of the endocardium, very limited literature addresses the detection of both endo- and epicardial contours. Hereto, in this study we propose an original levelset technique specifically designed for the detection of the whole myocardium in short-axis ultrasound scans. A localized version of standard region-based methods is adopted, and allows to deal with low-contrast boundaries. Moreover, shape prior information is efficiently embedded in the evolution equation, thereby preventing the detection of undesired structures, like papillary muscles. An evaluation is presented on a set of 40 frames from 5 different patients. The proposed method is shown to be a reliable tool for an accurate segmentation of the full myocardium on ultrasound scans.
Segmentation of the Full Myocardium in Echocardiography using Constrained Level-Sets / M. Alessandrini; T. Dietenbeck; D. Barbosa; J. D'Hooge; O. Basset; N. Speciale; D. Friboulet; O. Bernard. - STAMPA. - 37:(2010), pp. 409-412. (Intervento presentato al convegno 2010 Computing in Cardiology Conference tenutosi a Belfast, UK nel 26-29 September 2010).
Segmentation of the Full Myocardium in Echocardiography using Constrained Level-Sets
ALESSANDRINI, MARTINO;SPECIALE, NICOLO'ATTILIO;
2010
Abstract
In echocardiography, left ventricle detection is a common practice in order to retrieve indexes of myocardial health. Although a great attention has been given to the segmentation of the endocardium, very limited literature addresses the detection of both endo- and epicardial contours. Hereto, in this study we propose an original levelset technique specifically designed for the detection of the whole myocardium in short-axis ultrasound scans. A localized version of standard region-based methods is adopted, and allows to deal with low-contrast boundaries. Moreover, shape prior information is efficiently embedded in the evolution equation, thereby preventing the detection of undesired structures, like papillary muscles. An evaluation is presented on a set of 40 frames from 5 different patients. The proposed method is shown to be a reliable tool for an accurate segmentation of the full myocardium on ultrasound scans.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.