000048368 001__ 48368 000048368 005__ 20200221144334.0 000048368 0247_ $$2doi$$a10.1167/iovs.15-18067 000048368 0248_ $$2sideral$$a94095 000048368 037__ $$aART-2016-94095 000048368 041__ $$aeng 000048368 100__ $$aRozema, J.J. 000048368 245__ $$aSynteyes: A higher-order statistical eye model for healthy eyes 000048368 260__ $$c2016 000048368 5060_ $$aAccess copy available to the general public$$fUnrestricted 000048368 5203_ $$aPURPOSE. 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 thos0e 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). 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. 000048368 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/FIS2014-58303-P 000048368 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/ 000048368 590__ $$a3.303$$b2016 000048368 591__ $$aOPHTHALMOLOGY$$b11 / 59 = 0.186$$c2016$$dQ1$$eT1 000048368 592__ $$a1.875$$b2016 000048368 593__ $$aOphthalmology$$c2016$$dQ1 000048368 593__ $$aSensory Systems$$c2016$$dQ1 000048368 593__ $$aCellular and Molecular Neuroscience$$c2016$$dQ2 000048368 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000048368 700__ $$0(orcid)0000-0001-7534-0884$$aRodriguez, P. 000048368 700__ $$0(orcid)0000-0002-1328-1716$$aNavarro, R. 000048368 700__ $$aTassignon, M.J 000048368 773__ $$g57, 2 (2016), 683-691$$pInvestig. ophthalmol. vis. sci.$$tINVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE$$x0146-0404 000048368 8564_ $$s1215147$$uhttps://zaguan.unizar.es/record/48368/files/texto_completo.pdf$$yVersión publicada 000048368 8564_ $$s126923$$uhttps://zaguan.unizar.es/record/48368/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000048368 909CO $$ooai:zaguan.unizar.es:48368$$particulos$$pdriver 000048368 951__ $$a2020-02-21-13:46:39 000048368 980__ $$aARTICLE