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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.contributor.authorSpanias, Andreas S.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorLoizou, Christos P.en
dc.creatorPantzaris, Marios C.en
dc.creatorNicolaïdes, Andrew N.en
dc.creatorSpanias, Andreas S.en
dc.creatorPattichis, Marios S.en
dc.creatorPattichis, Constantinos S.en
dc.description.abstractThe intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of cardiovascular disease (CVD). It was proposed but not thoroughly investigated that the media layer (ML), its composition and texture, may be indicative for identifying the risk of stroke and differentiating between patients of high and low risk. In this study we investigate the usefulness of texture analysis of the ML of the CCA. The study was performed on 100 longitudinal ultrasound images acquired from asymptomatic subjects at risk of atherosclerosis. The images were separated into three different age groups, namely below 50, 50 to 60, and above 60 years old. A total of 61 different texture features were extracted from the intima-media complex (IMC), ML and the intima layer (IL). The IMC and ML were segmented manually by a neurovascular expert and automatically by a snakes segmentation system. It was shown that texture features extracted from the IL, ML and IMC are significantly different (mean, gray scale median (GSM), standard deviation, contrast, difference variance, periodicity) and that some of them can be associated with the increase (difference variance, entropy) or decrease (GSM) of patient's age. It was also shown that the GSM of the ML falls linearly with increasing ML thickness (MLT) and with increasing age. Further research on more subjects is required for estimating other features that may provide information for patients at risk of stroke.en
dc.source8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008en
dc.source8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008en
dc.subjectRisk perceptionen
dc.subjectCardiovascular diseaseen
dc.subjectUltrasonic imagingen
dc.subjectSemiconducting intermetallicsen
dc.subjectUltrasound imagingen
dc.subjectChemical vapor depositionen
dc.subjectStandard deviationen
dc.subjectCommon carotid arteryen
dc.subjectCarotid arteryen
dc.subjectTexture featuresen
dc.subjectTexture analysisen
dc.subjectUltrasound imagesen
dc.subjectAcoustic wavesen
dc.subjectIntima-media thicknessen
dc.subjectSegmentation systemen
dc.subjectMedia layersen
dc.subjectAge groupsen
dc.subjectGray scaleen
dc.titleUltrasound imaging media layer texture analysis of the carotid arteryen
dc.identifier.doi10.1109/BIBE.2008.4696801 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Conference code: 77628</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidPattichis, Marios S. [0000-0002-1574-1827]
dc.contributor.orcidLoizou, Christos P. [0000-0003-1247-8573]
dc.contributor.orcidPantzaris, Marios C. [0000-0003-2937-384X]

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