Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23601
DC FieldValueLanguage
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorPantziaris, Marios-
dc.contributor.authorTheofilou, Marilena-
dc.contributor.authorKasparis, Takis-
dc.contributor.authorKyriakou, Efthivoulos-
dc.date.accessioned2021-11-10T07:49:05Z-
dc.date.available2021-11-10T07:49:05Z-
dc.date.issued2013-
dc.identifier.citation9th International Conference of Artificial Intelligence Applications and Innovations , 2013, 30 September - 2 October, Paphos, Cyprusen_US
dc.identifier.isbn978-3-642-41142-7-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23601-
dc.description.abstractThere are indications that the texture of certain components of atherosclerotic carotid plaques in the common carotid artery (CCA), obtained by high resolution ultrasound imaging, may have additional prognostic implication for the risk of stroke. The objective of this study was to perform texture analysis of the middle component of atherosclerotic carotid plaques in 230 CCA plaque ultrasound images (115 asymptomatic and 115 symptomatic). These were manually delineated by a neurovascular expert after normalization and despeckle filtering using the linear despeckle filter (DsFlsmv). Texture features were extracted from the middle plaque component. We found statistical significant differences for some of the texture features extracted, between asymptomatic and symptomatic subjects. The results showed that it may be possible to identify a group of patients at risk of stroke (asymptomatic versus symptomatic) based on texture features extracted from the middle component of the atherosclerotic carotid plaque in ultrasound images of the CCA. © IFIP International Federation for Information Processing 2013.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© Springeren_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAtherosclerotic carotid plaque componentsen_US
dc.subjectTexture analysisen_US
dc.subjectUltrasound imageen_US
dc.subjectCarotid arteryen_US
dc.titleTexture analysis in ultrasound images of carotid plaque components of asymptomatic and symptomatic subjectsen_US
dc.typeConference Papersen_US
dc.collaborationIntercollegeen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationFrederick Universityen_US
dc.subject.categoryMedical Engineeringen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Conference on Artificial Intelligence Applications and Innovationsen_US
dc.identifier.doi10.1007/978-3-642-41142-7_29en_US
dc.identifier.scopus2-s2.0-84894100156-
dc.identifier.urlhttps://ktisis.cut.ac.cy/handle/10488/13938-
cut.common.academicyear2013-2014en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.openairetypeconferenceObject-
item.languageiso639-1en-
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.orcid0000-0003-1247-8573-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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