Multiscale edge detection and gradient vector flow snakes for automated identification of the carotid artery wall in longitudinal B-mode ultrasound images

Matsakou, AI; Tsiaparas, N; Golemati, S; Nikita, KS

dc.contributor.author	Matsakou, AI	en
dc.contributor.author	Tsiaparas, N	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:53:56Z
dc.date.available	2014-03-01T02:53:56Z
dc.date.issued	2012	en
dc.identifier.issn	19457928	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36492
dc.subject	Carotid artery	en
dc.subject	Gradient vector flow snake	en
dc.subject	Multi-scale edge detection	en
dc.subject	Ultrasound imaging	en
dc.subject	Wavelet transform	en
dc.subject.other	Arterial wall	en
dc.subject.other	Automated identification	en
dc.subject.other	B-mode images	en
dc.subject.other	B-mode ultrasound images	en
dc.subject.other	Carotid artery	en
dc.subject.other	Gradient vector flow	en
dc.subject.other	Gradient vector flow snakes	en
dc.subject.other	Image edge	en
dc.subject.other	Local maximum	en
dc.subject.other	Multiscale edge	en
dc.subject.other	Multiscale edge detection	en
dc.subject.other	Segmentation methods	en
dc.subject.other	Snake contour	en
dc.subject.other	Ultrasound images	en
dc.subject.other	Ultrasound imaging	en
dc.subject.other	Edge detection	en
dc.subject.other	Medical imaging	en
dc.subject.other	Ultrasonic imaging	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Wavelet transforms	en
dc.subject.other	Image segmentation	en
dc.title	Multiscale edge detection and gradient vector flow snakes for automated identification of the carotid artery wall in longitudinal B-mode ultrasound images	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISBI.2012.6235881	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISBI.2012.6235881	en
heal.identifier.secondary	6235881	en
heal.publicationDate	2012	en
heal.abstract	This paper proposes a fully automatic active-contour-based segmentation method, for the detection of the carotid artery wall in longitudinal B-mode images. A multiscale edge detection methodology is used for the definition of an initial snake contour, followed by a gradient vector flow (GVF) snake. The multiscale edge detection method is based on finding the local maxima of the wavelet transform of the image, which is very close to the real contour. The GVF snake is based on the calculation of the image edge map and the calculation of the GVF field which guides the deformation for the estimation of the real arterial wall boundaries. In twenty cases of healthy carotid arteries the sensitivity, specificity and accuracy were higher than 0.97, 0.99 and 0.98 respectively, for both diastolic and systolic cases. In conclusion, the proposed methodology provides a new accurate procedure to detect the arterial wall in ultrasound images of the carotid artery. © 2012 IEEE.	en
heal.journalName	Proceedings - International Symposium on Biomedical Imaging	en
dc.identifier.doi	10.1109/ISBI.2012.6235881	en
dc.identifier.spage	1599	en
dc.identifier.epage	1602	en