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Πεδίο DCΤιμήΓλώσσα
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorPantziaris, Marios-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorKyriakou, Efthyvoulos-
dc.date.accessioned2021-11-15T06:34:44Z-
dc.date.available2021-11-15T06:34:44Z-
dc.date.issued2010-05-13-
dc.identifier.citation4th International Symposium on Communications, Control and Signal Processing, 2010, 3-5 March, Limassol, Cyprusen_US
dc.identifier.isbn978-1-4244-6287-2-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23634-
dc.description.abstractMonitoring the wall and plaque changes in the carotid artery (CA) can provide useful information for the assessment of the atherosclerotic disease. Using a motion mode (M-mode) image, detailed information may be obtained about wall and lumen dimensions, systolic and diastolic artery diameter and distension, wall and plaque motion and thickness, and also their corresponding states (timings). The wall thickness and the diameter of the CA change during the cardiac cycle are an indicator of regional contraction and therefore an indication of a disease. The objective of this work was to investigate how M-mode state based modeling of the CA can be derived from a B-mode ultrasound video. Briefly, 10 longitudinal CA ultrasound videos acquired from symptomatic subjects at risk of atherosclerosis were broken into frames and their M-mode images were generated. These were then despeckled and the atherosclerotic carotid plaque was segmented from each video, in order to extract the states of the video. By identifying the states of the CA, we can distinguish between normal and abnormal plaque motion. It was shown in this work, that M-mode state based modeling derived from B-mode videos can be used successfully to derive the carotid states and assess the corresponding wall changes. However, further work in a larger number of videos is needed for validating the proposed method and to differentiate between normal and abnormal state based plaque motion analysis.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.subjectUltrasonic imagingen_US
dc.subjectVideosen_US
dc.subjectCardiac diseaseen_US
dc.subjectMonitoringen_US
dc.subjectCarotid arteriesen_US
dc.subjectAtherosclerosisen_US
dc.subjectImage segmentationen_US
dc.subjectM-mode echocardiography imagesen_US
dc.subjectM-mode representationen_US
dc.titleM-mode state based identification in ultrasound videos of the atherosclerotic carotid plaqueen_US
dc.typeConference Papersen_US
dc.collaborationIntercollegeen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationFrederick Universityen_US
dc.subject.categoryMedical Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Symposium on Communications, Control and Signal Processingen_US
dc.identifier.doi10.1109/ISCCSP.2010.5463375en_US
dc.identifier.scopus2-s2.0-77953862025-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/77953862025-
cut.common.academicyear2009-2010en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.parentorgFaculty of Engineering and Technology-
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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