SyntEyes: A higher-order statistical eye model for healthy eyes

[Purpose]: Stochastic eye models are a method to generate random biometry data with the variability found in the general population for use in optical calculations. This work improves the accuracy of a previous model by including the higher-order shape parameters of the cornea. [Methods]: The right...

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Detalles Bibliográficos
Autores: Rozema, J. J., Rodríguez, Pablo, Navarro, Rafael, Tassignon, Marie-José
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/148650
Acceso en línea:http://hdl.handle.net/10261/148650
Access Level:acceso abierto
Palabra clave:Statistical eye model
Ocular biometry
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spelling SyntEyes: A higher-order statistical eye model for healthy eyesRozema, J. J.Rodríguez, PabloNavarro, RafaelTassignon, Marie-JoséStatistical eye modelOcular biometry[Purpose]: Stochastic eye models are a method to generate random biometry data with the variability found in the general population for use in optical calculations. This work improves the accuracy of a previous model by including the higher-order shape parameters of the cornea. [Methods]: The right eye biometry of 312 subjects (40.8 ± 11.0 years of age) were measured with an autorefractometer, a Scheimpflug camera, an optical biometer, and a ray tracing aberrometer. The corneal shape parameters, exported as Zernike coefficients, were converted to eigenvectors for dimensional reduction. The remaining 18 parameters were modeled as a sum of two multivariate Gaussians, from which an unlimited number of synthetic data sets (SyntEyes) were generated. After conversion back to Zernike coefficients, the data were introduced into ray tracing software. [Results]: The mean values of nearly all SyntEyes parameters were statistically equal to those of the original data (two one-sided t-test, P > 0.05/109, Bonferroni correction). The variability of the SyntEyes parameters was similar to the original data for most important shape parameters and intraocular distances (F-test, P < 0.05/109), but significantly lower for the higher-order shape parameters (F-test, P > 0.05/109). The same was seen for the correlations between higher-order shape parameters. After applying simulated cataract or refractive surgery to the SyntEyes model, a very close resemblance to previously published clinical outcome data was seen. [Conclusions]: The SyntEyes model produces synthetic biometry that closely resembles clinically measured data, including the normal biological variations in the general population.Supported by research grants from the Flemish government agency for Innovation by Science and Technology (Grant IWT/110684) and the Spanish Ministry of Economy and Competitiveness (FIS2014-58303-P).Peer ReviewedAssociation for Research in Vision and OphthalmologyMinisterio de Economía y Competitividad (España)Flemish Department of Economy, Science and Innovation (Belgium)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2017201720162017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/148650reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FIS2014-58303-Phttps://doi.org/10.1167/iovs.15-18067Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1486502026-05-22T06:33:51Z
dc.title.none.fl_str_mv SyntEyes: A higher-order statistical eye model for healthy eyes
title SyntEyes: A higher-order statistical eye model for healthy eyes
spellingShingle SyntEyes: A higher-order statistical eye model for healthy eyes
Rozema, J. J.
Statistical eye model
Ocular biometry
title_short SyntEyes: A higher-order statistical eye model for healthy eyes
title_full SyntEyes: A higher-order statistical eye model for healthy eyes
title_fullStr SyntEyes: A higher-order statistical eye model for healthy eyes
title_full_unstemmed SyntEyes: A higher-order statistical eye model for healthy eyes
title_sort SyntEyes: A higher-order statistical eye model for healthy eyes
dc.creator.none.fl_str_mv Rozema, J. J.
Rodríguez, Pablo
Navarro, Rafael
Tassignon, Marie-José
author Rozema, J. J.
author_facet Rozema, J. J.
Rodríguez, Pablo
Navarro, Rafael
Tassignon, Marie-José
author_role author
author2 Rodríguez, Pablo
Navarro, Rafael
Tassignon, Marie-José
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Flemish Department of Economy, Science and Innovation (Belgium)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Statistical eye model
Ocular biometry
topic Statistical eye model
Ocular biometry
description [Purpose]: Stochastic eye models are a method to generate random biometry data with the variability found in the general population for use in optical calculations. This work improves the accuracy of a previous model by including the higher-order shape parameters of the cornea. [Methods]: The right eye biometry of 312 subjects (40.8 ± 11.0 years of age) were measured with an autorefractometer, a Scheimpflug camera, an optical biometer, and a ray tracing aberrometer. The corneal shape parameters, exported as Zernike coefficients, were converted to eigenvectors for dimensional reduction. The remaining 18 parameters were modeled as a sum of two multivariate Gaussians, from which an unlimited number of synthetic data sets (SyntEyes) were generated. After conversion back to Zernike coefficients, the data were introduced into ray tracing software. [Results]: The mean values of nearly all SyntEyes parameters were statistically equal to those of the original data (two one-sided t-test, P > 0.05/109, Bonferroni correction). The variability of the SyntEyes parameters was similar to the original data for most important shape parameters and intraocular distances (F-test, P < 0.05/109), but significantly lower for the higher-order shape parameters (F-test, P > 0.05/109). The same was seen for the correlations between higher-order shape parameters. After applying simulated cataract or refractive surgery to the SyntEyes model, a very close resemblance to previously published clinical outcome data was seen. [Conclusions]: The SyntEyes model produces synthetic biometry that closely resembles clinically measured data, including the normal biological variations in the general population.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/148650
url http://hdl.handle.net/10261/148650
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FIS2014-58303-P
https://doi.org/10.1167/iovs.15-18067
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Association for Research in Vision and Ophthalmology
publisher.none.fl_str_mv Association for Research in Vision and Ophthalmology
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
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