Intraocular Lens Selection Using Wavefront Models and Ray Tracing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing IOL selection methods for cataract surgery rely heavily on pre-surgical measurements and subjective judgment, failing to account for complex corneal irregularities, particularly in patients with a history of refractive surgeries like LASIK or PRK, and lack a reliable, practical automatic selection system.
Innovation Solution
A method and system that utilizes precise optical lens models derived from patient-specific eye measurements and lens measurements, combined with ray tracing simulations, to predict post-surgical visual performance, enabling unbiased and reliable IOL selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic IOL selection systems are implemented using simplified optical models, then automation is improved, but measurement precision and reliability deteriorate due to oversimplified lens parameters
Solution Approach 1:
The patent transforms the optical lens model from using simplified manufacturer parameters to using wavefront measurement data. This parameter change enables automatic selection systems to achieve high precision by replacing basic lens parameters with detailed wavefront coefficients that accurately represent the actual optical performance of each IOL.
Solution Approach 2:
The patent replaces traditional mechanical/optical measurement methods with wavefront sensing technology. By using wavefront measurements to characterize IOLs, the system achieves more precise and comprehensive optical modeling without requiring complex physical prototypes or extensive manual testing.
2Measurement precision
If detailed optical lens models are used for accurate visual performance prediction, then measurement precision is improved, but device complexity increases due to comprehensive lens characterization requirements
Solution Approach 1:
The patent enables the IOL selection system to self-characterize each lens by performing wavefront measurements directly on the lenses in the database. This self-service approach eliminates the need for manual optical modeling or reliance on manufacturer data, allowing the system to automatically generate accurate optical models for any IOL.
Solution Approach 2:
The patent creates a universal optical modeling framework that can handle any IOL design through wavefront measurements. The same measurement and modeling process works for all lenses in the database, regardless of manufacturer or design, making the system universally applicable without requiring lens-specific customization.
3Measurement precision
If wavefront measurements are performed on all intraocular lenses in the database, then measurement precision is improved, but loss of time increases due to extensive measurement requirements
Solution Approach 1:
The patent performs wavefront measurements and optical model generation as preliminary actions during database setup. By completing these measurements in advance rather than at the time of patient selection, the system eliminates time-consuming measurements from the clinical workflow while maintaining high precision in visual performance predictions.
Solution Approach 2:
The patent creates digital optical models (copies) of each IOL through wavefront measurements. These digital models can be stored and reused indefinitely without requiring physical access to the actual lenses, eliminating the need for repeated measurements while preserving measurement precision.
4Ease of operation
If subjective judgment is used for IOL selection, then ease of operation is improved, but reliability deteriorates due to dependence on surgeon experience
Solution Approach 1:
The patent implements an automated feedback system that objectively evaluates each IOL's predicted visual performance based on wavefront measurements and ray tracing simulations. This feedback mechanism replaces subjective surgeon judgment with consistent, data-driven recommendations, improving reliability while maintaining ease of operation through automated processing.
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
Enables accurate and reliable IOL selection by generating detailed optical models, reducing errors in predicting visual performance, and providing a comprehensive comparison of different IOLs, even for complex corneas.
Implementation Method 1
measuring the intraocular lens to obtain a lens measurement, preferably a wavefront measurement of the lens
Implementation Method 2
generating, in a processing means, a pre-surgical optical model of the eye of the patient based on the pre-surgical eye measurement
Implementation Method 3
simulating the post-surgical visual performance of the intraocular lens based on the post-surgical optical model of the eye
Data Source
Figure 1~2
Figure 3~4
Figure 5
AI summary
System for selecting an intraocular lens (2i) to be implanted into an eye (1) comprising an eye measurer (4) and a processing means (5) configured for computing a post-surgical visual performance of the plurality of intraocular lenses (2i) in the eye (1) of the patient to output a selection advise; wherein the post-surgical visual performance computation comprises: estimating a post-surgical position of the intraocular lens (2i), generating a post-surgical optical model (OEi) of the eye (1), and simulating the post-surgical visual performance of the intraocular lens (2i); the system comprises a lens measurer (3) for measuring the plurality of intraocular lenses (2i) to obtain a plurality of lens measurements (MLi) of the intraocular lenses (2i), wherein the processing means (5) is configured for obtaining the optical lens model (OLi) of each intraocular lens (2i) measured by the lens measurement equipment (3) based on its lens measurement (MLi).