Wavefront Guided Correction for Custom Ophthalmic Lenses
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Solution Overview
Problem
Current ophthalmic optics, such as contact lenses, fail to effectively correct higher-order aberrations and optimize visual performance due to registration errors between the wavefront guided correction and the underlying wavefront error of the eye, leading to degraded retinal image quality and visual performance.
Innovation Solution
A computer program product and method that optimize wavefront guided corrections for custom ophthalmic lenses by receiving quantified wavefront error and registration uncertainty, identifying predictive metrics for visual performance, and determining optimal corrections to achieve user-defined performance ranges, thereby manufacturing customized lenses that minimize residual aberrations and improve visual acuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If wavefront guided correction is implemented to correct higher order aberrations, then visual performance should improve, but registration errors between correction and underlying wavefront error degrade retinal image quality
Solution Approach 1:
The patent applies preliminary action by pre-compensating for expected registration errors during the lens design phase. The optimization algorithm anticipates potential misalignments between the wavefront guided correction and underlying wavefront error, and designs the correction to compensate for these errors before they occur in practice. This allows the system to maintain reliable visual performance despite registration uncertainties.
2Adaptability or versatility
If contact lens moves to maintain ocular health, then ocular health is maintained, but variable residual aberrations degrade retinal image quality
Solution Approach 1:
The patent applies dynamics by designing the wavefront guided correction to be robust against dynamic movements of the contact lens. The optimization algorithm accounts for lens displacement and rotation that occur during normal wear, creating a correction that maintains effectiveness despite these movements. This allows the lens to move for ocular health while minimizing degradation of retinal image quality.
3Manufacturing precision
If perfect alignment between wavefront error and wavefront guided correction is achieved, then best possible retinal image quality is obtained, but perfect registration is rare or never achieved in practice
Solution Approach 1:
The patent applies copying by creating an optimized version of the ideal wavefront guided correction that replicates its benefits while being tolerant of registration errors. Instead of requiring perfect alignment, the system generates a correction design that copies the essential corrective function while incorporating robustness against misalignment, making it feasible for real-world application.
4Manufacturing precision
If all aberration terms are corrected, then complete wavefront correction is achieved, but correction complexity increases and becomes more sensitive to registration errors
Solution Approach 1:
The patent applies taking out by selectively extracting and correcting only the most significant aberration terms rather than attempting to correct all aberrations. The optimization algorithm identifies which aberration terms have the greatest impact on visual performance and focuses the correction on those terms, reducing overall correction complexity and making the system more robust to registration errors while maintaining effective visual improvement.
Data Source
AI summary
Provided herein is a computer program product comprising a non-transitory computer-readable medium storing an algorithm to optimize a wavefront guided correction for a custom ophthalmic lens. The correction is determined from inputs of quantified wavefront error and registration uncertainty and a metric predictive of a visual performance task of interest and provides a level of visual performance within a user-defined performance range. Also provided is a method for optimizing a wavefront guided correction for a custom ophthalmic lens via inputting residual wavefront error values and quantified translational and rotational movements into an algorithm configured to determine the optimal wavefront guided correction therefrom and a custom ophthalmic lens comprising the correction.