Kalman-filter-based block matching for arterial wall motion estimation from B-mode ultrasound

Gastounioti, A; Golemati, S; Stoitsis, J; Nikita, KS

dc.contributor.author	Gastounioti, A	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Stoitsis, J	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:46:52Z
dc.date.available	2014-03-01T02:46:52Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32896
dc.subject	Adaptive block matching	en
dc.subject	Arterial wall	en
dc.subject	Kalman filter	en
dc.subject	Motion analysis	en
dc.subject	Ultrasound	en
dc.subject.other	Adaptive block matching	en
dc.subject.other	Arterial biomechanics	en
dc.subject.other	Arterial wall	en
dc.subject.other	Block Matching	en
dc.subject.other	Carotid artery	en
dc.subject.other	Conventional algorithms	en
dc.subject.other	Conventional methods	en
dc.subject.other	Kalman-filtering	en
dc.subject.other	Motion analysis	en
dc.subject.other	Reference block	en
dc.subject.other	Synthetic images	en
dc.subject.other	Ultrasound	en
dc.subject.other	Ultrasound image sequences	en
dc.subject.other	Biomechanics	en
dc.subject.other	Estimation	en
dc.subject.other	Imaging systems	en
dc.subject.other	Kalman filters	en
dc.subject.other	Motion compensation	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Motion estimation	en
dc.title	Kalman-filter-based block matching for arterial wall motion estimation from B-mode ultrasound	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IST.2010.5548454	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IST.2010.5548454	en
heal.identifier.secondary	5548454	en
heal.publicationDate	2010	en
heal.abstract	The motion of the carotid artery wall has been previously estimated from ultrasound image sequences using block matching. In this paper, this conventional method was extended through its combination with Kalman filtering in two distinct scenarios; (a) by renewing the reference block and (b) by updating the estimate of the conventional algorithm. Both procedures were evaluated on synthetic image sequences through the estimation of the warping index. The results showed that incorporation of the Kalman filter in conventional block matching slightly improved the accuracy in arterial wall motion estimation. Updating the estimate of the conventional algorithm using Kalman filtering was the most efficient procedure and could be used to study further the displacements of the arterial wall in an attempt to obtain useful knowledge about arterial biomechanics. © 2010 IEEE.	en
heal.journalName	2010 IEEE International Conference on Imaging Systems and Techniques, IST 2010 - Proceedings	en
dc.identifier.doi	10.1109/IST.2010.5548454	en
dc.identifier.spage	234	en
dc.identifier.epage	239	en