Automated detection of the carotid artery wall in B-mode ultrasound images using active contours initialized by the Hough Transform

Stoitsis, J; Golemati, S; Kendros, S; Nikita, KS

dc.contributor.author	Stoitsis, J	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Kendros, S	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:45:09Z
dc.date.available	2014-03-01T02:45:09Z
dc.date.issued	2008	en
dc.identifier.issn	1557170X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32170
dc.subject	Active contours	en
dc.subject	Arterial wall	en
dc.subject	Hough Transform	en
dc.subject	Ultrasound	en
dc.subject.other	Acoustic waves	en
dc.subject.other	Diagnosis	en
dc.subject.other	Flow fields	en
dc.subject.other	Hough transforms	en
dc.subject.other	Image processing	en
dc.subject.other	Ultrasonic applications	en
dc.subject.other	Ultrasonic transmission	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Active contours	en
dc.subject.other	Arterial wall	en
dc.subject.other	Automated detections	en
dc.subject.other	Automatic segmentations	en
dc.subject.other	B-mode ultrasound images	en
dc.subject.other	Carotid arteries	en
dc.subject.other	Clinical diagnosis	en
dc.subject.other	Clinical practices	en
dc.subject.other	Contour estimations	en
dc.subject.other	Gradient vector flows	en
dc.subject.other	Initial curves	en
dc.subject.other	Transverse sections	en
dc.subject.other	Ultrasound	en
dc.subject.other	Ultrasound images	en
dc.subject.other	Ultrasonic imaging	en
dc.title	Automated detection of the carotid artery wall in B-mode ultrasound images using active contours initialized by the Hough Transform	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2008.4649871	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2008.4649871	en
heal.identifier.secondary	4649871	en
heal.publicationDate	2008	en
heal.abstract	Automatic segmentation of the arterial lumen from ultrasound images is an important and often challenging task in clinical diagnosis. We previously used the Hough Transform (HT) to automatically extract circles from sequences of B-mode ultrasound images of transverse sections of the carotid artery. In this paper, an active-contour-based methodology is suggested, initialized by the HT circle, in an attempt to extend previous findings and to accurately detect the arterial wall boundary. The methodology is based on the generation of a gradient vector flow field, an approach attempting to overcome conventional active contours constraints. Contour estimation is then achieved by deforming the initial curve (circle) based on the gradient vector flow field. In ten normal subjects, the specificity and accuracy of the segmentation were on average higher than 0.98, whereas the sensitivity was higher than 0.82. The methodology was also applied to four subjects with atherosclerosis, in which sensitivity, specificity and accuracy were comparable to those of normal subjects. In conclusion, the HT-initialized active contours methodology provides a reliable tool to detect the carotid artery wall in ultrasound images and can be used in clinical practice. © 2008 IEEE.	en
heal.journalName	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - ""Personalized Healthcare through Technology""	en
dc.identifier.doi	10.1109/IEMBS.2008.4649871	en
dc.identifier.volume	2008	en
dc.identifier.spage	3146	en
dc.identifier.epage	3149	en