Optical System Optimization for Ophthalmic Lenses
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Solution Overview
Problem
Current optimization methods for optical systems, such as ophthalmic lenses, are limited in considering criteria, primarily focusing on optical aberrations like power and astigmatism, which do not adequately address image deformations and localization issues, failing to meet the specific needs of lens wearers.
Innovation Solution
A method that optimizes optical systems by considering a broader range of criteria including central and peripheral vision parameters, such as ocular deviation, visual angular fields, prismatic deviation, magnification, and lens volume, using a cost function to minimize deviations and improve image quality and wearer adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If classical optimization criteria (power, astigmatism) are used, then optical aberrations are reduced, but image deformations and localization errors remain unaddressed
Solution Approach 1:
The patent segments the optimization criteria into distinct groups: central vision criteria (ocular deviation, object visual angular field, image visual angular field) and peripheral vision criteria (pupil field ray deviation, prismatic deviation, magnification). This segmentation allows independent optimization of different vision quality aspects, resolving the contradiction by addressing both optical aberrations and image deformations through separate criterion groups.
Solution Approach 2:
The patent introduces new optimization dimensions beyond traditional optical aberrations. By adding criteria related to visual angular fields, prismatic deviation, and magnification, the optimization moves from a one-dimensional focus on power and astigmatism to a multi-dimensional approach that includes geometric and perceptual parameters, thereby improving both optical quality and wearer adaptation.
2Device complexity
If only optical aberration criteria are considered, then calculation complexity remains low, but the method fails to address user-specific needs
Solution Approach 1:
The patent changes the parameter set used in optimization by introducing new parameters such as object visual angular field, image visual angular field, prismatic deviation, and magnification alongside traditional parameters like power and astigmatism. This parameter expansion enables the system to address user-specific needs while maintaining a systematic optimization framework, balancing complexity increase with enhanced adaptability.
3Adaptability or versatility
If a comprehensive set of vision criteria is used, then wearer adaptation improves, but the optimization process becomes more complex
Solution Approach 1:
The patent organizes the comprehensive criteria into structured groups (central vision and peripheral vision criteria), each with specific evaluation domains and target values. This segmentation simplifies the optimization process by breaking down the complex multi-criterion optimization into manageable segments, allowing systematic handling of multiple vision quality aspects without overwhelming computational complexity.
Data Source
AI summary
A method implemented by computer means for calculating by optimization an optical system for example an ophthalmic lens according to at least one criterion among the following list consisting of: ocular deviation, object visual angular field in central vision, image visual angular field in central vision, pupil field ray deviation, object visual angular field in peripheral vision, image visual angular field in peripheral vision, prismatic deviation in peripheral vision, magnification in peripheral vision, lens volume, magnification of the eyes, temple shift, or a variation of preceding criteria.