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Tool to estimate optical metrics from summary wave‐front analysis data in the human eye
Author(s) -
Jansonius Nomdo M
Publication year - 2013
Publication title -
ophthalmic and physiological optics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.147
H-Index - 66
eISSN - 1475-1313
pISSN - 0275-5408
DOI - 10.1111/opo.12005
Subject(s) - strehl ratio , wavefront , optical transfer function , focus (optics) , spherical aberration , optics , computer science , human eye , optical aberration , monochromatic color , zernike polynomials , physics , lens (geology)
Purpose Studies in the field of cataract and refractive surgery often report only summary wave‐front analysis data – data that are too condensed to allow for a retrospective calculation of metrics relevant to visual perception. The aim of this study was to develop a tool that can be used to estimate these metrics from summary wave‐front analysis data. Methods The core of the tool is a two‐parameter (primary spherical aberration and an overall measure of all other higher‐order aberrations) model for the statistical description of the optical aberrations of the human eye. Modulation transfer through‐focus curves were calculated for realistic ranges of spherical aberration, other higher‐order aberrations and pupil diameters, for both white and monochromatic light. A series of commonly used metrics (modulation transfer, Strehl ratio, visual Strehl ratio and width of line spread function) was derived from these through‐focus curves, with corresponding location of optimal focus and depth‐of‐focus. Results Published wave‐front analysis data from healthy subjects served as input for the tool. The output was compared to published measurements of the included metrics, performed in the same or in comparable samples. Agreement between output of the tool and measurements was within the accuracy of the data. Conclusions The tool is able to relate accurately summary wave‐front analysis data from groups of patients to metrics relevant to visual perception and can thus be used to estimate these metrics in situations where their calculation from raw wave‐front analysis data is not possible.