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Automatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographies

dc.contributor.authorDiaz, M
dc.contributor.authorDiez-Sotelo, M
dc.contributor.authorGomez-Ulla, F
dc.contributor.authorNovo Buján, Jorge
dc.contributor.authorPenedo, MFG
dc.contributor.authorOrtega, M
dc.date.accessioned2022-02-02T08:16:31Z
dc.date.available2022-02-02T08:16:31Z
dc.date.issued2019
dc.identifier.issn1424-8220 (Electronic);1424-8220 (Linking)
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pubmed/31683559es
dc.identifier.urihttp://hdl.handle.net/20.500.11940/16071
dc.description.abstractOptical Coherence Tomography Angiography (OCTA) constitutes a new non-invasive ophthalmic image modality that allows the precise visualization of the micro-retinal vascularity that is commonly used to analyze the foveal region. Given that there are many systemic and eye diseases that affect the eye fundus and its vascularity, the analysis of that region is crucial to diagnose and estimate the vision loss. The Visual Acuity (VA) is typically measured manually, implying an exhaustive and time-consuming procedure. In this work, we propose a method that exploits the information of the OCTA images to automatically estimate the VA with an accurate error of 0.1713.en
dc.language.isoenges
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshRetinal Vein Occlusion*
dc.subject.meshFovea Centralis*
dc.subject.meshReproducibility of Results*
dc.subject.meshHumans*
dc.subject.meshBlood Vessels*
dc.subject.meshVisual Acuity*
dc.subject.meshPrincipal Component Analysis*
dc.subject.meshTomography*
dc.subject.meshAngiography*
dc.subject.meshAlgorithms*
dc.titleAutomatic Visual Acuity Estimation by Means of Computational Vascularity Biomarkers Using Oct Angiographiesen
dc.identifier.doi10.3390/s19214732
dc.identifier.pmid31683559
dc.identifier.sophos34355
dc.issue.number21es
dc.journal.titleSensors (Basel)es
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Biomédica da Coruña (INIBIC)es
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostelaes
dc.relation.publisherversionhttps://res.mdpi.com/d_attachment/sensors/sensors-19-04732/article_deploy/sensors-19-04732.pdfes
dc.rights.accessRightsopenAccesses
dc.subject.decsoclusión venosa retiniana*
dc.subject.decsfóvea central*
dc.subject.decsagudeza visual*
dc.subject.decsangiografía*
dc.subject.decsalgoritmos*
dc.subject.decsanálisis de componentes principales*
dc.subject.decsreproducibilidad de resultados*
dc.subject.decshumanos*
dc.subject.decstomografía*
dc.subject.decsvasos sanguíneos*
dc.volume.number19es


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Sensors (Basel). 2019;19(21):4732

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Atribución 4.0 Internacional
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