Computer Eye Models for Intraocular Lens Peripheral Vision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current intraocular lens (IOL) technology degrades peripheral optical quality, leading to compromised peripheral visual performance, which is dependent on anterior corneal geometry and axial lengths, and existing eye models fail to accurately test peripheral vision, limiting the design of IOLs that improve both central and peripheral visual fields.
Innovation Solution
A library of computer eye models is developed to design and test IOLs, incorporating biometric data and higher-order corneal aberrations, allowing for the simulation of optical performance across a large field of view (+30 to -30 degrees, and validating the models with clinical data to improve both central and peripheral vision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current IOL technology is used to improve central vision, then central visual performance is improved, but peripheral optical quality degrades
Solution Approach 1:
The patent applies local quality by designing IOLs with different optical characteristics for different regions of the visual field. The lens profile is customized to address specific peripheral aberrations in different zones, allowing central and peripheral vision to have optimized optical properties rather than a uniform design compromising peripheral quality
2Object-affected harmful factors
If peripheral aberrations are corrected for one foveal refractive state, then peripheral optical quality is improved for that state, but performance varies for other refractive states
Solution Approach 1:
The patent implements universality by creating a library of eye models representing different foveal refractive states, corneal geometries, and axial lengths. The IOL design process uses these diverse models to develop a lens that performs adequately across multiple eye types rather than optimizing for a single average eye, making the solution universally applicable
3Device complexity
If existing average eye models are used to test IOLs, then testing process is simplified, but peripheral visual performance cannot be accurately evaluated
Solution Approach 1:
The patent applies segmentation by dividing the eye model library into distinct categories representing different eye types with specific biometric characteristics. Each segment (eye model) is customized with specific corneal geometry, axial length, and refractive state parameters, allowing precise evaluation of peripheral performance for specific eye types while maintaining manageable model complexity through systematic categorization
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The computer eye models effectively predict and enhance the optical performance of IOLs, reducing peripheral aberrations and improving overall visual field performance, providing a more realistic evaluation of both new and existing IOL designs.
Implementation Method 1
The optics of the eye are changed by such a procedure, the goal is to improve vision in the central field
Data Source
AI summary
A system, method, and apparatus are provided for designing and evaluating intraocular lenses for a large field of view that generate a first eye model from data that includes constant and customized values, including customized values of a first intraocular lens. A simulated outcome is provided by the first intraocular lens in at least one modeled eye. A second eye model is generated wherein a second intraocular lens is substituted for the first intraocular lens. An outcome provided by the second intraocular lens is simulated in at least one modeled eye. Outcomes of the first and second intraocular lenses are compared.