Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23640
DC FieldValueLanguage
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorNicolaides, Andrew N.-
dc.contributor.authorPantziaris, Marios-
dc.date.accessioned2021-11-15T11:06:01Z-
dc.date.available2021-11-15T11:06:01Z-
dc.date.issued2009-05-
dc.identifier.citationIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2009, vol. 56, no. 5, pp. 983-994en_US
dc.identifier.issn15258955-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23640-
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 layer (ML) thickness (MLT), its composition, and its texture may be indicative of cardiovascular risk and for differentiating between patients with high and low risk. In this study, we investigate an automated method for segmenting the ML and the intima layer (IL) and measurement of the MLT and the intima layer thickness (ILT) in ultrasound images of the CCA. The snakes segmentation method was used and was evaluated on 100 longitudinal ultrasound images acquired from asymptomatic subjects, against manual segmentation performed by a neurovascular expert. The mean +/- standard deviation (sd) for the first and second sets of manual and the automated IMT, MLT, and ILT measurements were 0.71 +/- 0.17 mm, 0.72 +/- 0.17 mm, 0.67 +/- 0.12 mm; 0.25 +/- 0.12 mm, 0.27 +/- 0.14 mm, 0.25 +/- 0.11 mm; and 0.43 +/- 0.10 mm, 0.44 +/- 0.13 mm, and 0.42 +/- 0.10 mm, respectively. There was overall no significant difference between the manual and the automated IMC, ML, and IL segmentation measurements. Therefore, the automated segmentation method proposed in this study may be used successfully in the measurement of the MLT and ILT complementing the manual measurements. MLT was also shown to increase with age (for both the manual and the automated measurements). Future research will incorporate the extraction of texture features from the segmented ML and IL bands, which may indicate the risk of future cardiovascular events. However, more work is needed for validating the proposed technique in a larger sample of subjects.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Controlen_US
dc.rights© IEEEen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectThickness measurementen_US
dc.subjectCarotid arteriesen_US
dc.subjectAcoustic wavesen_US
dc.subjectCardiologyen_US
dc.subjectUltrasonic variables measurementen_US
dc.subjectUltrasonic imagingen_US
dc.subjectCardiovascular diseasesen_US
dc.subjectChemical vapor depositionen_US
dc.subjectAutomationen_US
dc.subjectTexturesen_US
dc.subjectFeature extractionen_US
dc.subjectUltrasonic applicationsen_US
dc.titleManual and automated media and intima thickness measurements of the common carotid arteryen_US
dc.typeArticleen_US
dc.collaborationIntercollegeen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationVascular Screening and Diagnostic Centreen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.subject.categoryMedical Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/TUFFC.2009.1130en_US
dc.identifier.pmid19473916-
dc.identifier.scopus2-s2.0-67650473273-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/67650473273-
dc.relation.issue5en_US
dc.relation.volume56en_US
cut.common.academicyear2008-2009en_US
dc.identifier.spage983en_US
dc.identifier.epage994en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn1525-8955-
crisitem.journal.publisherIEEE-
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-
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