Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23651
DC FieldValueLanguage
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorPantziaris, Marios-
dc.contributor.authorNicolaides, Andrew N.-
dc.contributor.authorGeorgiou, Niki-
dc.contributor.authorKyriakou, Efthyvoulos-
dc.date.accessioned2021-11-16T08:41:59Z-
dc.date.available2021-11-16T08:41:59Z-
dc.date.issued2007-10-22-
dc.identifier.citation29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007, 22-26 August, Lyon, Franceen_US
dc.identifier.isbn978-1-4244-0788-0-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23651-
dc.description.abstractThe intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of the development of cardiovascular disease (CVD). It was proposed but not thoroughly investigated that the media thickness (MT), its composition and texture may be indicative for identifying the risk of stroke and differentiating between patients with high and low risk. In this study we present an automated method for segmentation of the media layer and measurement of its thickness in ultrasound images of the CCA. The snakes segmentation method was used, and was evaluated on 100 images against manual segmentation. The mean +/- standard deviation (sd) for the manual and the automated IMT measurements were 0.71+/-0.17 mm and 0.67+/-0.12 mm, and for the manual and the automated MT measurements were 0.25+/-0.12 mm and 0.25+/-0.11 mm respectively. There was no significant difference between the manual and the automated measurements. Further research for validating the proposed technique is required and for evaluating it in a larger sample of subjects.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.subjectImage segmentationen_US
dc.subjectUltrasonic variables measurementen_US
dc.subjectThickness measurementen_US
dc.subjectCarotid arteriesen_US
dc.subjectUltrasonic imagingen_US
dc.subjectDiseasesen_US
dc.subjectImpedanceen_US
dc.subjectAtherosclerosisen_US
dc.subjectMeasurement standardsen_US
dc.subjectCardiovascular diseasesen_US
dc.subjectImage analysisen_US
dc.subjectImage segmentationen_US
dc.titleMedia thickness measurement of the common carotid arteryen_US
dc.typeConference Papersen_US
dc.collaborationIntercollegeen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationVascular Screening and Diagnostic Centeren_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.conferenceAnnual International Conference of the IEEE Engineering in Medicine and Biology Societyen_US
dc.identifier.doi10.1109/IEMBS.2007.4352753en_US
dc.identifier.pmid18002419-
dc.identifier.scopus2-s2.0-57649187547-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/57649187547-
cut.common.academicyear2007-2008en_US
dc.identifier.spage2171en_US
dc.identifier.epage2174en_US
item.openairetypeconferenceObject-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextnone-
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-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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