1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Άρθρα/Articles
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/4129
DC FieldValueLanguage
dc.contributor.authorLoizou,  Christos P.-
dc.contributor.authorSpyrou, Christina-
dc.contributor.authorPantziaris, Marios-
dc.contributor.authorKasparis, Takis-
dc.contributor.authorChristodoulou, Lakis-
dc.contributor.otherΚασπαρής, Τάκης-
dc.contributor.otherΧριστοδούλου, Λάκης-
dc.contributor.otherΠαντζάρης, Μάριος-
dc.contributor.otherΣπύρου, Χριστίνα-
dc.contributor.otherΛοϊζου, Χρίστος-
dc.date2012en
dc.date.accessioned2014-07-08T08:22:49Z-
dc.date.accessioned2015-12-09T11:30:25Z-
dc.date.available2014-07-08T08:22:49Z-
dc.date.available2015-12-09T11:30:25Z-
dc.date.issued2012-
dc.identifier.citationBiomedical Engineering / Biomedizinische Technik, 2012, vol.57en_US
dc.identifier.issn1862278X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/4129-
dc.description.abstractThe full segmentation and detection 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. The IMT as well as the stenosis are considered to be the significant markers for the clinical evaluation of the risk of stroke. The current research proposes full-automated medical imaging system for the segmentation and detection of the CCA and the common artery lumen (CAL), 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.en_US
dc.formatpdfen_US
dc.languageenen
dc.language.isoenen_US
dc.relation.ispartofBiomedical Engineering / Biomedizinische Techniken_US
dc.rights© 2012 by Walter de Gruyteren_US
dc.subjectEngineeringen_US
dc.subjectMedical Informaticsen_US
dc.subjectAutomated medical imaging systemen_US
dc.subjectCarotid plaqueen_US
dc.subjectCarotid arteryen_US
dc.subjectUltrasound imagesen_US
dc.subject.classificationComputer and Information Sciences-
dc.titleFull-automated Medical Imaging System for Segmentation and Detection of Carotid Plaque and Carotid Artery lumen From Ultrasound Imagesen_US
dc.typeArticleen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.collaborationCyprus University of Technologyen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.subject.categoryMedical Engineeringen_US
dc.subject.categoryClinical Medicineen_US
dc.journalsOpen Accessen_US
dc.reviewpeer reviewed-
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.subject.fieldMedical and Health Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1515/bmt-2012-4155en_US
dc.dept.handle123456789/134en
dc.relation.volume57en_US
cut.common.academicyear2011-2012en_US
item.openairetypearticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
crisitem.journal.journalissn1862-278X-
crisitem.journal.publisherDe Gruyter-
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-
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