Abstract
We hypothesize that an intraocular lens (IOL) with higher-order aspheric surfaces customized for an individual eye provides improved retinal image quality, despite the misalignments that accompany cataract surgery. To test this hypothesis, ray-tracing eye models were used to investigate 10 designs of mono-focal single lens IOLs with rotationally symmetric spherical, aspheric, and customized surfaces. Retinal image quality of pseudo-phakic eyes using these IOLs together with individual variations in ocular and IOL parameters, are evaluated using a Monte Carlo analysis. We conclude that customized lenses should give improved retinal image quality despite the random errors resulting from IOL insertion.
Highlights
Intraocular lenses (IOLs) are used for replacing the crystalline lens of the human eye in cataract surgery
The main purpose of this paper is to introduce the use of individual ray-tracing eye models to investigate whether the variety of un-measured and unpredictable pseudo-phakic parameters would eliminate the retinal image benefit of having aspheric and individually customized IOL designs based on the corneal topography and eye length
The primary conception of this study is to investigate if variational parameters can cancel the retinal image benefit of different IOL designs based on the determinant group of parameters
Summary
Intraocular lenses (IOLs) are used for replacing the crystalline lens of the human eye in cataract surgery. Their design has evolved to correct optical aberrations, spherical aberration, partly as a result of the development of ocular wavefront technology in recent years. Ray-tracing eye models are useful to evaluate the IOL design and power calculation [17– 27]. The main purpose of this paper is to introduce the use of individual ray-tracing eye models to investigate whether the variety of un-measured and unpredictable pseudo-phakic parameters would eliminate the retinal image benefit of having aspheric and individually customized IOL designs based on the corneal topography and eye length. A two layered parameter grouping and analysis method is presented
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