Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/23644
DC FieldValueLanguage
dc.contributor.authorLoizou, Christos P.-
dc.contributor.authorMurray, Víctor-
dc.contributor.authorPattichis, Marios S.-
dc.contributor.authorChristodoulou, Christodoulos-
dc.contributor.authorPantziaris, Marios-
dc.contributor.authorNicolaides, Andrew N.-
dc.contributor.authorPattichis, Constantinos S.-
dc.date.accessioned2021-11-15T12:33:57Z-
dc.date.available2021-11-15T12:33:57Z-
dc.date.issued2009-09-
dc.identifier.citation19th International Conference on Artificial Neural Networks, 2009, 14-17 September, Limassol, Cyprusen_US
dc.identifier.isbn978-3-642-04277-5-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/23644-
dc.description.abstractThe purpose of this paper is to propose the use of amplitude modulation-frequency modulation (AM-FM) features for describing atherosclerotic plaque features that are associated with clinical factors such as intima media thickness and a patient's age. AM-FM analysis reveals the instantaneous amplitude (IA) of the media layer decreases with age. This decrease in IA maybe attributed to the reduction in calcified, stable plaque components and an increase in stroke risk with age. On the other hand, an increase in the median instantaneous frequency (IF) of the media layer suggests the fragmentation of solid, large plaque components, which also lead to an increase in the risk of stroke. The findings suggest that AM-FM features can be used to assess the risk of stroke over a wide range of patient populations. Future work will incorporate a new texture image retrieval system that uses AM-FM features to retrieve intima and intima media layer images that could be associated with the same level of the risk of stroke.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.subjectCommon Carotid Arteryen_US
dc.subjectMedia Layeren_US
dc.subjectInstantaneous Frequencyen_US
dc.subjectCarotid Plaqueen_US
dc.subjectInstantaneous Amplitudeen_US
dc.titleAM-FM texture image analysis of the intima and media layers of the carotid arteryen_US
dc.typeConference Papersen_US
dc.collaborationIntercollegeen_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 Neural Networksen_US
dc.identifier.doi10.1007/978-3-642-04277-5_89en_US
dc.identifier.scopus2-s2.0-70450182612-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/70450182612-
cut.common.academicyear2009-2010en_US
dc.identifier.spage885en_US
dc.identifier.epage894en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-1247-8573-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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