Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis 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	2014-03-01T01:35:26Z
dc.date.available	2014-03-01T01:35:26Z
dc.date.issued	2011	en
dc.identifier.issn	0957-0233	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21046
dc.subject	arterial wall	en
dc.subject	block matching	en
dc.subject	Kalman filter	en
dc.subject	motion analysis	en
dc.subject	ultrasound	en
dc.subject.classification	Engineering, Multidisciplinary	en
dc.subject.classification	Instruments & Instrumentation	en
dc.subject.other	Adaptive strategy	en
dc.subject.other	Arterial wall	en
dc.subject.other	B-mode ultrasound images	en
dc.subject.other	Block Matching	en
dc.subject.other	Carotid artery	en
dc.subject.other	Center frequency	en
dc.subject.other	Conventional methods	en
dc.subject.other	Displacement errors	en
dc.subject.other	Estimation bias	en
dc.subject.other	Kalman-filtering	en
dc.subject.other	Mean squared error	en
dc.subject.other	Motion analysis	en
dc.subject.other	Motion tracking	en
dc.subject.other	Reference block	en
dc.subject.other	Synthetic images	en
dc.subject.other	Frequency estimation	en
dc.subject.other	Jitter	en
dc.subject.other	Kalman filters	en
dc.subject.other	Mechanical properties	en
dc.subject.other	Motion compensation	en
dc.subject.other	Ultrasonics	en
dc.title	Comparison of Kalman-filter-based approaches for block matching in arterial wall motion analysis from B-mode ultrasound	en
heal.type	journalArticle	en
heal.identifier.primary	10.1088/0957-0233/22/11/114008	en
heal.identifier.secondary	http://dx.doi.org/10.1088/0957-0233/22/11/114008	en
heal.identifier.secondary	114008	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Block matching (BM) has been previously used to estimate motion of the carotid artery from B-mode ultrasound image sequences. In this paper, Kalman filtering (KF) was incorporated in this conventional method in two distinct scenarios: (a) as an adaptive strategy, by renewing the reference block and (b) by renewing the displacements estimated by BM or adaptive BM. All methods resulting from combinations of BM and KF with the two scenarios were evaluated on synthetic image sequences by computing the warping index, defined as the mean squared error between the real and estimated displacements. Adaptive BM, followed by an update through the second scenario at the end of tracking, ABM-KF-K2, minimized the warping index and yielded average displacement error reductions of 24% with respect to BM. The same method decreased estimation bias and jitter over varying center frequencies by 30% and 64%, respectively, with respect to BM. These results demonstrated the increased accuracy and robustness of ABM-KF-K2 in motion tracking of the arterial wall from B-mode ultrasound images, which is crucial in the study of mechanical properties of normal and diseased arterial segments. © 2011 IOP Publishing Ltd.	en
heal.publisher	IOP PUBLISHING LTD	en
heal.journalName	Measurement Science and Technology	en
dc.identifier.doi	10.1088/0957-0233/22/11/114008	en
dc.identifier.isi	ISI:000296563500009	en
dc.identifier.volume	22	en
dc.identifier.issue	11	en