Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies

Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies

In this work we propose the automatic estimation of the visual acuity of patients with retinal vein occlusion using Optical Coherence Tomography by Angiography (OCTA) images. To do this, we first extract the most relevant biomarkers in this imaging modality—area of the foveal avascular zone and vasc...

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Main Authors: Macarena Díaz, Jorge Novo, Manuel G. Penedo, Marcos Ortega
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Proceedings
Subjects:
OCTA
RVO
VA estimation
biomarkers
Online Access:https://www.mdpi.com/2504-3900/54/1/57
id doaj-5a3976a4030f415199dd176c9c879ab5
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spelling doaj-5a3976a4030f415199dd176c9c879ab52020-11-25T03:31:19ZengMDPI AGProceedings2504-39002020-09-0154575710.3390/proceedings2020054057Fully Automatic Method for the Visual Acuity Estimation Using OCT AngiographiesMacarena Díaz0Jorge Novo1Manuel G. Penedo2Marcos Ortega3Centro de investigación CITIC, Universidade da Coruña, 15001 A Coruña, SpainCentro de investigación CITIC, Universidade da Coruña, 15001 A Coruña, SpainCentro de investigación CITIC, Universidade da Coruña, 15001 A Coruña, SpainCentro de investigación CITIC, Universidade da Coruña, 15001 A Coruña, SpainIn this work we propose the automatic estimation of the visual acuity of patients with retinal vein occlusion using Optical Coherence Tomography by Angiography (OCTA) images. To do this, we first extract the most relevant biomarkers in this imaging modality—area of the foveal avascular zone and vascular densities in different regions of the OCTA image. Then, we use a support vector machine to estimate the visual acuity. We obtained a mean absolute error of 0.1713 between the manual visual acuity measurement and the estimated, being considered satisfactory results.https://www.mdpi.com/2504-3900/54/1/57OCTARVOVA estimationbiomarkers
collection DOAJ
language English
format Article
sources DOAJ
author Macarena Díaz
Jorge Novo
Manuel G. Penedo
Marcos Ortega
spellingShingle Macarena Díaz
Jorge Novo
Manuel G. Penedo
Marcos Ortega
Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
Proceedings
OCTA
RVO
VA estimation
biomarkers
author_facet Macarena Díaz
Jorge Novo
Manuel G. Penedo
Marcos Ortega
author_sort Macarena Díaz
title Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
title_short Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
title_full Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
title_fullStr Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
title_full_unstemmed Fully Automatic Method for the Visual Acuity Estimation Using OCT Angiographies
title_sort fully automatic method for the visual acuity estimation using oct angiographies
publisher MDPI AG
series Proceedings
issn 2504-3900
publishDate 2020-09-01
description In this work we propose the automatic estimation of the visual acuity of patients with retinal vein occlusion using Optical Coherence Tomography by Angiography (OCTA) images. To do this, we first extract the most relevant biomarkers in this imaging modality—area of the foveal avascular zone and vascular densities in different regions of the OCTA image. Then, we use a support vector machine to estimate the visual acuity. We obtained a mean absolute error of 0.1713 between the manual visual acuity measurement and the estimated, being considered satisfactory results.
topic OCTA
RVO
VA estimation
biomarkers
url https://www.mdpi.com/2504-3900/54/1/57
work_keys_str_mv AT macarenadiaz fullyautomaticmethodforthevisualacuityestimationusingoctangiographies
AT jorgenovo fullyautomaticmethodforthevisualacuityestimationusingoctangiographies
AT manuelgpenedo fullyautomaticmethodforthevisualacuityestimationusingoctangiographies
AT marcosortega fullyautomaticmethodforthevisualacuityestimationusingoctangiographies
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