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

dc.contributor.authorDíaz, M.
dc.contributor.authorDíez Sotelo, Marta
dc.contributor.authorGómez-Ulla de Irazazabal, Francisco 
dc.contributor.authorNovo, J.
dc.contributor.authorPenedo, M. F. G.
dc.contributor.authorOrtega, M.
dc.date.accessioned2021-09-30T09:19:47Z
dc.date.available2021-09-30T09:19:47Z
dc.date.issued2019
dc.identifier.issn1424-8220
dc.identifier.otherhttps://www.ncbi.nlm.nih.gov/pubmed/31683559es
dc.identifier.urihttp://hdl.handle.net/20.500.11940/15419
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.isoeng
dc.rightsAtribución 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.meshFovea Centralis*
dc.subject.meshReproducibility of Results*
dc.subject.meshHumans*
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 Angiographieses
dc.typeArtigoes
dc.authorsophosDíaz, M.
dc.authorsophosDíez-Sotelo, M.
dc.authorsophosGómez-Ulla, F.
dc.authorsophosNovo, J.
dc.authorsophosPenedo, M. F. G.
dc.authorsophosOrtega, M.
dc.identifier.doi10.3390/s19214732
dc.identifier.pmid31683559
dc.identifier.sophos30670
dc.issue.number21es
dc.journal.titleSENSORSes
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::EOXI de Santiago de Compostela - Complexo Hospitalario Universitario de Santiago de Compostela::Oftalmoloxía
dc.organizationServizo Galego de Saúde::Estrutura de Xestión Integrada (EOXI)::Instituto de Investigación Biomédica da Coruña (INIBIC)
dc.page.initial4732es
dc.relation.publisherversionhttps://res.mdpi.com/d_attachment/sensors/sensors-19-04732/article_deploy/sensors-19-04732.pdf
dc.rights.accessRightsopenAccess
dc.subject.decsfóvea central*
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.keywordCHUS
dc.subject.keywordINIBIC
dc.typefidesArtículo Científico (incluye Original, Original breve, Revisión Sistemática y Meta-análisis)
dc.typesophosArtículo Original
dc.volume.number19es


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Sensors (Basel) . 2019 Oct 31;19(21):4732. doi: 10.3390/s19214732

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Atribución 4.0 Internacional
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