SyntEyes: A Higher-Order Statistical Eye Model for Healthy Eyes | Zendy

J. Rozema | Zendy; Pablo Rodríguez | Zendy; Rafael Navarro | Zendy; MarieJosé Tassig | Zendy

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SyntEyes: A Higher-Order Statistical Eye Model for Healthy Eyes

Author(s) -

J. Rozema,

Pablo Rodríguez,

Rafael Navarro,

MarieJosé Tassig

Publication year - 2016

Publication title -

investigative ophthalmology and visual science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.935

H-Index - 218

eISSN - 1552-5783

pISSN - 0146-0404

DOI - 10.1167/iovs.15-18067

Subject(s) - zernike polynomials , mathematics , cornea , population , ray tracing (physics) , multivariate statistics , bonferroni correction , corneal topography , statistics , tracing , multivariate normal distribution , ophthalmology , optics , computer science , medicine , physics , environmental health , wavefront , operating system

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.

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