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dc.contributor.authorReal Peña, Eusebio 
dc.contributor.authorEguizabal Aguado, Alma 
dc.contributor.authorPontón Cortina, Alejandro 
dc.contributor.authorCalvo Díez, Marta
dc.contributor.authorVal Bernal, José Fernando 
dc.contributor.authorMayorga Fernández, Marta María
dc.contributor.authorRevuelta Soba, José Manuel 
dc.contributor.authorLópez Higuera, José Miguel 
dc.contributor.authorConde Portilla, Olga María 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2014-01-16T08:23:10Z
dc.date.available2014-01-16T08:23:10Z
dc.date.issued2013-12
dc.identifier.issn1560-2281
dc.identifier.issn1083-3668
dc.identifier.otherFIS2010-19860es_ES
dc.identifier.otherTEC2010-20224-C02-02es_ES
dc.identifier.urihttp://hdl.handle.net/10902/4137
dc.description.abstractOptical coherence tomography images of human thoracic aorta from aneurysms reveal elastin disorders and smooth muscle cell alterations when visualizing the media layer of the aortic wall. These disorders can be employed as indicators for wall degradation and, therefore, become a hallmark for diagnosis of risk of aneurysm under intraoperative conditions. Two approaches are followed to evaluate this risk: the analysis of the reflectivity decay along the penetration depth and the textural analysis of a two-dimensional spatial distribution of the aortic wall backscattering. Both techniques require preprocessing stages for the identification of the air–sample interface and for the segmentation of the media layer. Results show that the alterations in the media layer of the aortic wall are better highlighted when the textural approach is considered and also agree with a semiquantitative histopathological grading that assesses the degree of wall degradation. The correlation of the co-occurrence matrix attains a sensitivity of 0.906 and specificity of 0.864 when aneurysm automatic diagnosis is evaluated with a receiver operating characteristic curve.es_ES
dc.description.sponsorshipThis work has been supported by the Spanish Government through the CYCIT projects DA2TOI (FIS2010-19860), TFS (TEC2010-20224-C02-02), and the Alma’s Eguizabal PhD Grant (FPU12/04130).
dc.format.extent11 p.es_ES
dc.language.isoenges_ES
dc.publisherSPIE Society of Photo-Optical Instrumentation Engineerses_ES
dc.rights© The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.es_ES
dc.sourceJournal of Biomedical Optics, 2013, 18(12), 126003es_ES
dc.subject.otherOptical coherence tomographyes_ES
dc.subject.otherTextural analysises_ES
dc.subject.otherAneurysmes_ES
dc.subject.otherAortic walles_ES
dc.titleOptical coherence tomography assessment of vessel wall degradation in thoracic aortic aneurysmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttp://dx.doi.org/10.1117/1.JBO.18.12.126003es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1117/1.JBO.18.12.126003
dc.type.versionpublishedVersiones_ES


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