Predicting subjective refraction with dynamic retinal image quality analysis

The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accu...

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Detalles Bibliográficos
Autores: Gil, Andrea, Hernández, Carlos S., Nam, Ahhyun Stephanie, Varadaraj, Varshini, Durr, Nicholas J., Lim, Daryl, Dave, Shivang R., Lage Negro, Eduardo
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad Autónoma de Madrid
Repositorio:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglés
OAI Identifier:oai:repositorio.uam.es:10486/711173
Acceso en línea:http://hdl.handle.net/10486/711173
https://dx.doi.org/10.1038/s41598-022-07786-0
Access Level:acceso abierto
Palabra clave:Predicting
Retinal image quality metrics (IQM)
dynamic
Quick See (QS)
WaveScan (WS)
Telecomunicaciones
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spelling Predicting subjective refraction with dynamic retinal image quality analysisGil, AndreaHernández, Carlos S.Nam, Ahhyun StephanieVaradaraj, VarshiniDurr, Nicholas J.Lim, DarylDave, Shivang R.Lage Negro, EduardoPredictingRetinal image quality metrics (IQM)dynamicQuick See (QS)WaveScan (WS)TelecomunicacionesThe aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accuracy and precision of the novel algorithm compared to standard search-based retinal image quality optimization algorithms. Dynamic measurements from 34 adult patients were taken with a handheld wavefront autorefractor and static data was obtained with a high-end desktop wavefront aberrometer. The search-based algorithms did not signifcantly improve the results of the desktop system, while the dynamic approach was able to simultaneously reduce the standard deviation (up to a 15% for reduction of spherical equivalent power) and the mean bias error of the predictions (up to 80% reduction of spherical equivalent power) for the handheld aberrometer. These results suggest that dynamic retinal image analysis can substantially improve the accuracy and precision of the portable wavefront autorefractor relative to subjective refraction.The authors thanks to Dr. David Friedman (Wilmer Eye Institute, Johns Hopkins University School of Medicine) and his team for their help with study defnition and data acquisition. Eduardo Lage is funded by the Ramon y Cajal program from the Spanish Ministry of Economy, Industry and Competitivity (RYC-2016-21125). Carlos S. Hernandez, and Andrea Gil are funded by the Madrid Regional Government through IND2019/TIC-17116 and IND2020/TIC-17340 grants. Research relating to the autorefractor reported in this publication was partially support by the National Institute of Biomedical Imaging & Bioengineering and National Eye Institute of the National Institutes of Health under Award Numbers R43EB024299 and R44EY025452, respectivelySpringerDepartamento de Tecnología Electrónica y de las ComunicacionesEscuela Politécnica Superior20222022-03-08research articlehttp://purl.org/coar/resource_type/c_2df8fbb1VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/711173https://dx.doi.org/10.1038/s41598-022-07786-0reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7111732026-06-23T12:46:27Z
dc.title.none.fl_str_mv Predicting subjective refraction with dynamic retinal image quality analysis
title Predicting subjective refraction with dynamic retinal image quality analysis
spellingShingle Predicting subjective refraction with dynamic retinal image quality analysis
Gil, Andrea
Predicting
Retinal image quality metrics (IQM)
dynamic
Quick See (QS)
WaveScan (WS)
Telecomunicaciones
title_short Predicting subjective refraction with dynamic retinal image quality analysis
title_full Predicting subjective refraction with dynamic retinal image quality analysis
title_fullStr Predicting subjective refraction with dynamic retinal image quality analysis
title_full_unstemmed Predicting subjective refraction with dynamic retinal image quality analysis
title_sort Predicting subjective refraction with dynamic retinal image quality analysis
dc.creator.none.fl_str_mv Gil, Andrea
Hernández, Carlos S.
Nam, Ahhyun Stephanie
Varadaraj, Varshini
Durr, Nicholas J.
Lim, Daryl
Dave, Shivang R.
Lage Negro, Eduardo
author Gil, Andrea
author_facet Gil, Andrea
Hernández, Carlos S.
Nam, Ahhyun Stephanie
Varadaraj, Varshini
Durr, Nicholas J.
Lim, Daryl
Dave, Shivang R.
Lage Negro, Eduardo
author_role author
author2 Hernández, Carlos S.
Nam, Ahhyun Stephanie
Varadaraj, Varshini
Durr, Nicholas J.
Lim, Daryl
Dave, Shivang R.
Lage Negro, Eduardo
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Tecnología Electrónica y de las Comunicaciones
Escuela Politécnica Superior
dc.subject.none.fl_str_mv Predicting
Retinal image quality metrics (IQM)
dynamic
Quick See (QS)
WaveScan (WS)
Telecomunicaciones
topic Predicting
Retinal image quality metrics (IQM)
dynamic
Quick See (QS)
WaveScan (WS)
Telecomunicaciones
description The aim of this work is to evaluate the performance of a novel algorithm that combines dynamic wavefront aberrometry data and descriptors of the retinal image quality from objective autorefractor measurements to predict subjective refraction. We conducted a retrospective study of the prediction accuracy and precision of the novel algorithm compared to standard search-based retinal image quality optimization algorithms. Dynamic measurements from 34 adult patients were taken with a handheld wavefront autorefractor and static data was obtained with a high-end desktop wavefront aberrometer. The search-based algorithms did not signifcantly improve the results of the desktop system, while the dynamic approach was able to simultaneously reduce the standard deviation (up to a 15% for reduction of spherical equivalent power) and the mean bias error of the predictions (up to 80% reduction of spherical equivalent power) for the handheld aberrometer. These results suggest that dynamic retinal image analysis can substantially improve the accuracy and precision of the portable wavefront autorefractor relative to subjective refraction.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-03-08
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/711173
https://dx.doi.org/10.1038/s41598-022-07786-0
url http://hdl.handle.net/10486/711173
https://dx.doi.org/10.1038/s41598-022-07786-0
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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