Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4294
DC FieldValueLanguage
dc.contributor.authorKasparis, Takis-
dc.contributor.authorLoizou,  Christos P.-
dc.contributor.authorChristodoulou, Lakis-
dc.date.accessioned2013-02-14T12:41:52Zen
dc.date.accessioned2013-05-17T10:38:29Z-
dc.date.accessioned2015-12-09T12:04:25Z-
dc.date.available2013-02-14T12:41:52Zen
dc.date.available2013-05-17T10:38:29Z-
dc.date.available2015-12-09T12:04:25Z-
dc.date.issued2012-05-
dc.identifier.citation5th International Symposium on Communications Control and Signal Processing ISCCSP, 2012, pp. 1- 6en_US
dc.identifier.isbn978-1-4673-0274-6-
dc.description.abstractThe full segmentation of the common carotid artery (CCA) in ultrasound images is important for the evaluation of the intima media thickness (IMT) and for the measurement of the artery stenosis which are considered to be the significant markers for the clinical evaluation of the risk of stroke. The current research proposes full-automated segmentation system for the segmentation of the CCA, which is based on an adaptive snake-contour segmentation algorithm. The CCA is segmented by the proposed algorithm into different distinct regions, namely the IMT, intima-media (IL), media-layer (ML), carotid plaque and lumen. The proposed method is automatically processing image normalization, binarization, adaptive hybrid median filter, and morphology prior the application of the snake segmentation algorithm. The mean and standard deviation of the IMT diameter in y-axis of the full-automatically segmented regions for the snakes-based and level-set method are 0.12 mm/0.01 mm and 0.09 mm/0.01 mm respectively in comparison with the ground truth IMT extracted from the manual clinical segmentation. The Wilcoxon rank sum test shows the significant improvements of the proposed method.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© 2012 IEEEen_US
dc.subjectAdaptive filtersen_US
dc.subjectCarotid arteryen_US
dc.subjectUltrasonic imagingen_US
dc.subjectDiagnostic imagingen_US
dc.subjectImage processingen_US
dc.titleFull-automated system for the segmentation of the common carotid artery in ultrasound imagesen_US
dc.typeConference Papersen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.subject.categoryMedical Engineeringen_US
dc.reviewpeer reviewed-
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceInternational Symposium on Communications, Control, and Signal Processing (ISCCSP)en_US
dc.identifier.doi10.1109/ISCCSP.2012.6217824en_US
dc.dept.handle123456789/134en
cut.common.academicyear2011-2012en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
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.orcid0000-0003-3486-538x-
crisitem.author.orcid0000-0003-1247-8573-
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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