Intraocular Lens Design for Population Aberration Correction
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Solution Overview
Problem
Current methods for designing intraocular lenses (IOLs) do not adequately account for variations in ocular parameters among patients, leading to inconsistent visual performance across a population.
Innovation Solution
A method is developed to design IOLs by creating eye models that can vary ocular parameters such as axial length and corneal asphericity, evaluating multiple lens designs using Monte Carlo simulations and modulation transfer functions to select the best fit for visual performance across a range of ocular parameter values, with weighting based on parameter distribution within the population.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If simplified eye models are used for IOL design, then the design process is simpler and faster, but the visual performance across a population of patients is inconsistent
Solution Approach 1:
The patent applies parameter changes by systematically varying ocular parameters (axial length, corneal asphericity, anterior chamber depth) across multiple eye models to represent population diversity. This allows the design process to evaluate IOL performance across a range of anatomical variations, improving visual performance consistency without completely abandoning efficient design methodologies.
Solution Approach 2:
The patent segments the population into different ocular parameter categories by creating multiple eye models with varying parameters. Each model represents a segment of the population with specific anatomical characteristics, allowing targeted evaluation of IOL designs for different patient subgroups while maintaining an organized design process.
2Ease of manufacture
If an average eye model is used for design, then a single design can be produced, but it cannot account for variations in ocular parameters across the patient population
Solution Approach 1:
The patent achieves universality by designing IOLs that are evaluated across multiple eye models representing different patient anatomies. The design process selects IOL parameters that provide optimal performance across the diverse population, creating a universal solution that adapts to various ocular configurations rather than requiring multiple specialized designs.
Solution Approach 2:
The patent introduces dynamics by making the design process adaptive to varying ocular parameters. Instead of a static average model, the system dynamically evaluates IOL performance across multiple parameter sets and selects designs that maintain effectiveness across the range of anatomical variations, making the design adaptable to population diversity.
3Reliability
If multiple eye models with varied ocular parameters are evaluated, then visual performance across the population improves, but the design process becomes more complex and time-consuming
Solution Approach 1:
The patent applies partial action by evaluating a representative subset of ocular parameter variations rather than exhaustively testing every possible combination. This selective approach focuses on the most significant parameter variations that impact visual performance, achieving population coverage without the full complexity of exhaustive evaluation.
4Device complexity
If traditional design methods are used, then the design process is straightforward, but higher order aberrations are not adequately corrected across different ocular parameters
Solution Approach 1:
The patent applies preliminary action by pre-evaluating IOL designs across multiple eye models with varied ocular parameters before final selection. This preliminary evaluation identifies designs that inherently correct higher order aberrations across different anatomies, allowing the selection of optimized designs before manufacturing, thereby improving aberration correction accuracy without adding complexity to the manufacturing process itself.
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
This approach ensures that IOLs provide optimal visual performance for a broader range of ocular parameters, improving visual acuity and contrast sensitivity by selecting designs that best fit the population's ocular characteristics.
Implementation Method 1
The modulation transfer function can be calculated theoretically by employing ray-tracing techniques
Data Source
AI summary
In one aspect, the present invention provides a method of designing an intraocular lens (IOL) to address variations of at least one ocular parameter in a population of patient eyes. The method can include establishing at least one eye model in which the ocular parameter can be varied over a range exhibited by the population. The eye model can be employed to evaluate a plurality of IOL designs in correcting visual acuity for eyes in the patient population. An IOL design that provides a best fit for visual performance over at least a portion of the parameter range can then be selected.