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

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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 http://hdl.handle.net/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 6079061 en
heal.identifier.secondary http://dx.doi.org/10.1109/IWBE.2011.6079061 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


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