Motion analysis of the carotid artery wall and plaque using B-mode ultrasound

Golemati, S; Stoitsis, J; Nikita, KS

dc.contributor.author	Golemati, S	en
dc.contributor.author	Stoitsis, J	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T11:44:45Z
dc.date.available	2014-03-01T11:44:45Z
dc.date.issued	2007	en
dc.identifier.issn	15672700	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37143
dc.subject	Carotid	en
dc.subject	Image sequences	en
dc.subject	Motion analysis	en
dc.subject	Ultrasound	en
dc.subject.other	artery wall	en
dc.subject.other	atherosclerosis	en
dc.subject.other	atherosclerotic plaque	en
dc.subject.other	B scan	en
dc.subject.other	carotid artery	en
dc.subject.other	heart cycle	en
dc.subject.other	hemodynamics	en
dc.subject.other	human	en
dc.subject.other	motion analysis system	en
dc.subject.other	priority journal	en
dc.subject.other	reproducibility	en
dc.subject.other	review	en
dc.title	Motion analysis of the carotid artery wall and plaque using B-mode ultrasound	en
heal.type	other	en
heal.identifier.primary	10.2174/156727007782331830	en
heal.identifier.secondary	http://dx.doi.org/10.2174/156727007782331830	en
heal.publicationDate	2007	en
heal.abstract	Motion of the arterial wall and atheromatous plaque, especially in the longitudinal direction, has recently gained attention as a determinant of carotid atherosclerosis. Vessel wall motion, caused by blood pressure, blood flow and tethering to the surrounding tissue, may be responsible for tissue rupture and cerebrovascular symptoms. B-mode ultrasound allows non-invasive recording of arterial wall and plaque motion in two directions, namely radial and longitudinal. Temporal sequences of ultrasound images, recorded at high frame rates, can be used to quantitatively estimate movement of the arterial wall. Motion of the carotid artery wall and plaque from sequences of ultrasound images has been estimated using block matching and optical flow techniques. Block matching is based on tracking blocks of pixels, assuming that the blocks remain constant over time and motion. Optical flow relies on the estimation of the spatiotemporal change of individual pixel intensities throughout a sequence, resulting in a dense vector map where each pixel is represented by a vector corresponding to its velocity between two frames. An important issue in studies of arterial wall motion is the validation of the motion analysis techniques. Tissue-mimicking phantoms as well as computer-generated simulation images have been used to validate motion analysis algorithms. In conclusion, motion of the carotid artery wall and plaque can be quantitatively estimated from B-mode ultrasound and may represent a powerful tool to study further the mechanisms of atherosclerosis. © 2007 Bentham Science Publishers Ltd.	en
heal.journalName	Vascular Disease Prevention	en
dc.identifier.doi	10.2174/156727007782331830	en
dc.identifier.volume	4	en
dc.identifier.issue	4	en
dc.identifier.spage	296	en
dc.identifier.epage	302	en