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dc.contributor.authorLoizou, Christos P.en
dc.contributor.authorMurray, V.en
dc.contributor.authorPattichis, Marios S.en
dc.contributor.authorChristodoulou, C. S.en
dc.contributor.authorPantzaris, Marios C.en
dc.contributor.authorNicolaïdes, Andrew N.en
dc.contributor.authorPattichis, Constantinos S.en
dc.creatorLoizou, Christos P.en
dc.creatorMurray, V.en
dc.creatorPattichis, Marios S.en
dc.creatorChristodoulou, C. S.en
dc.creatorPantzaris, Marios C.en
dc.creatorNicolaïdes, Andrew N.en
dc.creatorPattichis, Constantinos S.en
dc.date.accessioned2019-11-13T10:41:02Z
dc.date.available2019-11-13T10:41:02Z
dc.date.issued2009
dc.identifier.issn0302-9743
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/54420
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. © 2009 Springer Berlin Heidelberg.en
dc.source19th International Conference on Artificial Neural Networks, ICANN 2009en
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-70450182612&doi=10.1007%2f978-3-642-04277-5_89&partnerID=40&md5=af0d44eee1874e87cc9b5883a3d8f758
dc.subjectRisk assessmenten
dc.subjectBackpropagationen
dc.subjectNeural networksen
dc.subjectFrequency modulationen
dc.subjectImage analysisen
dc.subjectTexturesen
dc.subjectCarotid arteryen
dc.subjectAmplitude modulationen
dc.subjectInstantaneous amplitudeen
dc.subjectInstantaneous frequencyen
dc.subjectAtherosclerotic plaqueen
dc.subjectImage retrievalen
dc.subjectIntima-media thicknessen
dc.subjectMedia layersen
dc.subjectPatient populationen
dc.subjectTexture imageen
dc.subjectTexture image retrievalen
dc.titleAM-FM texture image analysis of the intima and media layers of the carotid arteryen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/978-3-642-04277-5_89
dc.description.volume5769 LNCSen
dc.description.issuePART 2en
dc.description.startingpage885
dc.description.endingpage894
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Conference code: 77563en
dc.description.notesCited By :1</p>en
dc.source.abbreviationLect. Notes Comput. Sci.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]
dc.gnosis.orcid0000-0003-1271-8151
dc.gnosis.orcid0000-0002-1574-1827
dc.gnosis.orcid0000-0003-1247-8573
dc.gnosis.orcid0000-0003-2937-384X


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