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

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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 http://hdl.handle.net/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

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