Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9586
DC FieldValueLanguage
dc.contributor.authorLoizou,  Christos P.-
dc.contributor.authorKasparis, Takis-
dc.contributor.authorLazarou, Theodoros-
dc.contributor.authorPattichis, Constantinos S.-
dc.contributor.authorPantziaris, Marios-
dc.date.accessioned2017-02-10T12:05:22Z-
dc.date.available2017-02-10T12:05:22Z-
dc.date.issued2014-10-01-
dc.identifier.citationComputers in Biology and Medicine, 2014, vol. 53, pp. 220-229en_US
dc.identifier.issn00104825-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9586-
dc.description.abstractThe objective of this study was to investigate differences in intima-media thickness (IMT) and diameter (D) measurements of the common carotid artery (CCA) in ultrasound imaging in normal subjects and renal failure disease (RFD) patients. Manual measurements by two experts and automated segmentation measurements (based on snakes and active contour models (ACM)) were carried out on 73 normal subjects, and 80 RFD patients. Statistical analysis was carried out using the Wilcoxon rank-sum test at p<0.05. Results demonstrated that the mean IMT and D measurements were significantly higher for the RFD group versus the normal group. Moreover, there was no significant difference between the manual and automated measurements. The ACM segmentation was slightly more accurate than segmentation based on snakes. Further work is needed to validate these findings on a larger group of subjects.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofComputers in Biology and Medicineen_US
dc.rights© Elsevieren_US
dc.subjectCarotid diameteren_US
dc.subjectCommon carotid arteryen_US
dc.subjectIntima-media thicknessen_US
dc.subjectRenal failure diseaseen_US
dc.subjectSegmentationen_US
dc.subjectUltrasound imagingen_US
dc.titleManual and automated intima-media thickness and diameter measurements of the common carotid artery in patients with renal failure diseaseen_US
dc.typeArticleen_US
dc.collaborationIntercollegeen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationLimassol General Hospitalen_US
dc.collaborationUniversity of Cyprusen_US
dc.collaborationCyprus Institute of Neurology and Geneticsen_US
dc.subject.categoryMedical Engineeringen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1016/j.compbiomed.2014.08.003en_US
dc.relation.volume53en_US
cut.common.academicyear2014-2015en_US
dc.identifier.spage220en_US
dc.identifier.epage229en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn0010-4825-
crisitem.journal.publisherElsevier-
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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