Multiscale approach for weighted least-squares optical flow for estimating arterial wall displacements

Gastounioti, A; Golemati, S; Tsiaparas, NN; Stoitsis, JS; Nikita, KS

dc.contributor.author	Gastounioti, A	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Tsiaparas, NN	en
dc.contributor.author	Stoitsis, JS	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:53:22Z
dc.date.available	2014-03-01T02:53:22Z
dc.date.issued	2011	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36268
dc.subject.other	2-d discrete wavelet transforms	en
dc.subject.other	Arterial wall	en
dc.subject.other	B-mode ultrasound images	en
dc.subject.other	Carotid artery	en
dc.subject.other	Coarse-to-fine	en
dc.subject.other	Common carotid artery	en
dc.subject.other	Displacement errors	en
dc.subject.other	Displacement estimation	en
dc.subject.other	Multi-scale approaches	en
dc.subject.other	Multi-scale image decomposition	en
dc.subject.other	Multiscale image analysis	en
dc.subject.other	Multiscales	en
dc.subject.other	Original images	en
dc.subject.other	Synthetic images	en
dc.subject.other	Transition process	en
dc.subject.other	Ultrasound image sequences	en
dc.subject.other	Ultrasound images	en
dc.subject.other	Weighted least squares	en
dc.subject.other	Biomedical engineering	en
dc.subject.other	Discrete wavelet transforms	en
dc.subject.other	Optical flows	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Estimation	en
dc.title	Multiscale approach for weighted least-squares optical flow for estimating arterial wall displacements	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IWBE.2011.6079061	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IWBE.2011.6079061	en
heal.identifier.secondary	6079061	en
heal.publicationDate	2011	en
heal.abstract	In this paper multiscale image decomposition was used to enhance the performance of weighted least-squares optical flow (WLSOF) in terms of estimating radial and longitudinal arterial wall displacements from B-mode ultrasound. For multiscale WLSOF (MWLSOF), ultrasound images were initially decomposed at one level using a 2D discrete wavelet transform, and WLSOF was applied on the resulting approximation images; the result was 'translated' to the original images through a coarse-to-fine transition process. WLSOF and MWLSOF were evaluated on synthetic image sequences of the common carotid artery. Multiscale image analysis increased the accuracy in displacement estimation, with MWLSOF yielding average displacement error reductions of 14% with respect to WLSOF. The methods were also effectively applied to real ultrasound image sequences of the carotid artery. It was concluded that MWLSOF can be efficiently used for estimating arterial wall displacements from B-mode ultrasound images. © 2011 IEEE.	en
heal.journalName	10th International Workshop on Biomedical Engineering, BioEng 2011	en
dc.identifier.doi	10.1109/IWBE.2011.6079061	en