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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.contributor.authorPantzaris, Marios C.en
dc.creatorLoizou, Christos P.en
dc.creatorPattichis, Constantinos S.en
dc.creatorNicolaïdes, Andrew N.en
dc.creatorPantzaris, Marios C.en
dc.date.accessioned2019-11-13T10:41:05Z
dc.date.available2019-11-13T10:41:05Z
dc.date.issued2009
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54443
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 mmen
dc.description.abstract0.25 0.12 mm, 0.27 0.14 mm, 0.25 0.11 mmen
dc.description.abstractand 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. © 2006 IEEE.en
dc.sourceIEEE transactions on ultrasonics, ferroelectrics, and frequency controlen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-67650473273&doi=10.1109%2fTUFFC.2009.1130&partnerID=40&md5=565b8b5dd887ce138462f5e308dccab3
dc.subjectmethodologyen
dc.subjectregression analysisen
dc.subjectarticleen
dc.subjectFeature extractionen
dc.subjecthumanen
dc.subjectHumansen
dc.subjectageden
dc.subjectfemaleen
dc.subjectCardiovascular diseaseen
dc.subjectmaleen
dc.subjectstatistical analysisen
dc.subjectReproducibility of Resultsen
dc.subjectCardiovascular Diseasesen
dc.subjectmiddle ageden
dc.subjectechographyen
dc.subjectTunica Intimaen
dc.subjectreproducibilityen
dc.subjectUltrasonographyen
dc.subjectsignal processingen
dc.subjectSignal Processing, Computer-Assisteden
dc.subjectAutomationen
dc.subjectMeasurementsen
dc.subjectUltrasonic imagingen
dc.subjectUltrasonic applicationsen
dc.subjectUltrasonicsen
dc.subjectThickness measurementen
dc.subjectChemical vapor depositionen
dc.subjectData Interpretation, Statisticalen
dc.subjectTexturesen
dc.subjectCarotid Artery, Commonen
dc.subjectCommon carotid arteryen
dc.subjectnonparametric testen
dc.subjectStatistics, Nonparametricen
dc.subjectTexture featuresen
dc.subjectUltrasound imagesen
dc.subjectintimaen
dc.subjectAcoustic wavesen
dc.subjectIntima-media thicknessen
dc.subjectCardiovascular eventen
dc.subjectMedia layersen
dc.subjectCardiovascular risken
dc.subjectAutomated measurementen
dc.subjectAutomated methodsen
dc.subjectAutomated segmentation methoden
dc.subjectLayer thicknessen
dc.subjectManual segmentationen
dc.subjectMean standard deviationen
dc.subjectSegmentation methodsen
dc.subjecttunica mediaen
dc.subjectUltrasonic delay linesen
dc.titleManual and automated media and intima thickness measurements of the common carotid arteryen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/TUFFC.2009.1130
dc.description.volume56
dc.description.issue5
dc.description.startingpage983
dc.description.endingpage994
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :45</p>en
dc.source.abbreviationIEEE Trans.Ultrason.Ferroelectr.Freq.Controlen
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.contributor.orcidPantzaris, Marios C. [0000-0003-2937-384X]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0003-1247-8573
dc.gnosis.orcid0000-0003-2937-384X


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