Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/19397
DC FieldValueLanguage
dc.contributor.authorKyriacou, Efthyvoulos C.-
dc.contributor.authorLoizou,  Christos P.-
dc.date.accessioned2020-11-13T09:27:16Z-
dc.date.available2020-11-13T09:27:16Z-
dc.date.issued2020-
dc.identifier.citationAdvanced Computational Intelligence in Healthcare-7 : Biomedical Informatics, 2020, pp. 103-119en_US
dc.identifier.isbn978-3-662-61114-2-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/19397-
dc.description.abstractCardiovascular disease (CVD) can be identified through ultrasound scans of the arteries and more specific the common carotid artery (CCA). Measurement of the intima–media thickness (IMT) of the CCA is an established indicator of CVD. Several reports have indicated differences in the IMT of CCA and related then with various risk factors as well as their association with the risk of stroke. Along this direction; this chapter presents methods for the stratification of CVD based on manual and automated IMT measurements for both the left and right common carotid arteries. The results are based on a group of 1104 longitudinal ultrasound images acquired from 568 men and 536 women out of which 125 had cardiovascular symptoms (CVD). The main findings can be summarized as follows: (1) there was no significant difference between the CCA left side IMT and the right side IMT; (2) there were statistical significant differences for the IMT measurements between the normal group and the CVD group for both the left and the right sides; (3) there was an increasing linear relationship of the left and right IMT measurements with age for the normal group.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© Springer Natureen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCardiovascular disease stratificationen_US
dc.subjectCarotid arteriesen_US
dc.subjectIntima media complex analysisen_US
dc.subjectUltrasound image analysisen_US
dc.titleCardiovascular disease stratification based on ultrasound images of the carotid arteryen_US
dc.typeBook Chapteren_US
dc.collaborationFrederick Universityen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/978-3-662-61114-2_7en_US
cut.common.academicyear2019-2020en_US
dc.identifier.spage103en_US
dc.identifier.epage119en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.openairetypebookPart-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4589-519X-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Κεφάλαια βιβλίων/Book chapters
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