Affine optical flow combined with multiscale image analysis for motion estimation of the arterial wall from B-mode ultrasound

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

dc.contributor.author	Gastounioti, A	en
dc.contributor.author	Tsiaparas, NN	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Stoitsis, JS	en
dc.contributor.author	Nikita, KS	en
dc.date.accessioned	2014-03-01T02:47:16Z
dc.date.available	2014-03-01T02:47:16Z
dc.date.issued	2011	en
dc.identifier.issn	1557170X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33047
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	Common carotid artery	en
dc.subject.other	Displacement errors	en
dc.subject.other	Motion tracking	en
dc.subject.other	Multiscale image analysis	en
dc.subject.other	Multiscales	en
dc.subject.other	Spatial resolution	en
dc.subject.other	Subimages	en
dc.subject.other	Synthetic images	en
dc.subject.other	Ultrasound image sequences	en
dc.subject.other	Discrete wavelet transforms	en
dc.subject.other	Optical flows	en
dc.subject.other	Ultrasonics	en
dc.subject.other	Motion estimation	en
dc.title	Affine optical flow combined with multiscale image analysis for motion estimation of the arterial wall from B-mode ultrasound	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.2011.6090103	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.2011.6090103	en
heal.identifier.secondary	6090103	en
heal.publicationDate	2011	en
heal.abstract	This paper investigated the performance of affine optical flow (AFOF) in motion tracking of the arterial wall from B-mode ultrasound images and the effect of its combination with multiscale image analysis on the accuracy of the process. Multiscale AFOF (MAFOF) exploits the information obtained with AFOF from the approximation sub-images at different spatial resolution levels of the images, obtained using a 2D discrete wavelet transform. Both AFOF and MAFOF were evaluated through their application to synthetic image sequences of the common carotid artery. Multiscale image analysis increased the accuracy in motion tracking, with MAFOF yielding average displacement error reductions of 9% with respect to AFOF. The methods were also effectively applied to real ultrasound image sequences of the carotid artery. The results showed that MAFOF could be considered as a reliable estimator for arterial wall motion from B-mode ultrasound images. © 2011 IEEE.	en
heal.journalName	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en
dc.identifier.doi	10.1109/IEMBS.2011.6090103	en
dc.identifier.volume	2011	en
dc.identifier.spage	559	en
dc.identifier.epage	562	en