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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorPattichis, Constantinos S.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.contributor.authorGeorgiou, Nikien
dc.contributor.authorKyriacou, Efthyvoulos C.en
dc.creatorLoizou, Christos P.en
dc.creatorPattichis, Constantinos S.en
dc.creatorPantzaris, Marios C.en
dc.creatorNicolaïdes, Andrew N.en
dc.creatorGeorgiou, Nikien
dc.creatorKyriacou, Efthyvoulos C.en
dc.date.accessioned2019-11-13T10:41:05Z
dc.date.available2019-11-13T10:41:05Z
dc.date.issued2007
dc.identifier.isbn1-4244-0788-5
dc.identifier.isbn978-1-4244-0788-0
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54445
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. © 2007 IEEE.en
dc.sourceAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedingsen
dc.source29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57649187547&doi=10.1109%2fIEMBS.2007.4352753&partnerID=40&md5=fe366083ab907cb2b4a190264183f51e
dc.subjectDiseasesen
dc.subjectUltrasonicsen
dc.subjectImage analysisen
dc.subjectImage segmentationen
dc.subjectCardiovascular systemen
dc.subjectCardiovascular disease (CVD)en
dc.subjectMedia thickness (MT)en
dc.subjectSnakes segmentation methoden
dc.titleMedia thickness measurement of the common carotid arteryen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.identifier.doi10.1109/IEMBS.2007.4352753
dc.description.startingpage2171
dc.description.endingpage2174
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: ACIES, Research Promotion and Management Consultingen
dc.description.notesEOARD, European Office of Aerospace R and Den
dc.description.notesGrand Lyonen
dc.description.notesNSF, National Science Foundationen
dc.description.notesPhilips Research Europeen
dc.description.notesPhilips Research North Americaen
dc.description.notesConference code: 70818en
dc.description.notesCited By :3</p>en
dc.contributor.orcidPattichis, Constantinos S. [0000-0003-1271-8151]
dc.contributor.orcidKyriacou, Efthyvoulos C. [0000-0002-4589-519X]
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.orcid0000-0002-4589-519X
dc.gnosis.orcid0000-0003-1247-8573
dc.gnosis.orcid0000-0003-2937-384X


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