1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23652
DC FieldValueLanguage
dc.contributor.authorMurillo, Sergio-
dc.contributor.authorPattichis, Marios S.-
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorKyriacou, Efthyvoulos C.-
dc.contributor.authorConstantinides, Anthony George-
dc.contributor.authorNicolaides, Andrew N.-
dc.date.accessioned2021-11-16T09:05:20Z-
dc.date.available2021-11-16T09:05:20Z-
dc.date.issued2007-05-07-
dc.identifier.citationFortieth Asilomar Conference on Signals, Systems and Computers, 2006, 29 October-1 November, Pacific Grove, CA, USAen_US
dc.identifier.isbn1-4244-0785-0-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23652-
dc.description.abstractIn this paper, we describe a collection of algorithms that are used to provide motion trajectory estimates from atherosclerotic plaque ultrasound videos. Our approach is based on the use of four different optical flow methods to estimate motion vectors (Horn and Schunk, Lucas, Nagel and Uras). To estimate the optimal motion estimation parameters, we perform hundreds of experiments on a Linux cluster, and further validate the results using synthetic simulations. Following motion estimation, we compute pixel motion trajectories over the plaque regions and vessel walls. Pixel trajectories are then used to assess plaque deformation.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© IEEEen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMotion analysisen_US
dc.subjectUltrasonic imagingen_US
dc.subjectMotion estimationen_US
dc.subjectImage motion analysisen_US
dc.subjectAdaptive opticsen_US
dc.subjectPlaque motion modelsen_US
dc.subjectComputational modelingen_US
dc.subjectTrajectory estimationen_US
dc.titleAtherosclerotic plaque motion analysis from ultrasound videosen_US
dc.typeConference Papersen_US
dc.collaborationUniversity of New Mexicoen_US
dc.collaborationIntercollegeen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationImperial College Londonen_US
dc.collaborationVascular Screening and Diagnostic Centreen_US
dc.subject.categoryMedical Engineeringen_US
dc.countryCyprusen_US
dc.countryUnited Statesen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceFortieth Asilomar Conference on Signals, Systems and Computersen_US
dc.identifier.doi10.1109/ACSSC.2006.354867en_US
dc.identifier.scopus2-s2.0-47049085331-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/47049085331-
cut.common.academicyear2005-2006en_US
dc.identifier.spage836en_US
dc.identifier.epage840en_US
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.languageiso639-1en-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.orcid0000-0002-4589-519X-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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