Ophthalmic Lens Visual Performance Simulation

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Solution Overview

Problem

Current methods for calculating visual performance of ophthalmic optical corrections are expensive and time-consuming, and there is a need for a more versatile and accurate method to determine visual performance using computer simulation.

Innovation Solution

A method that involves simulating the imaging of a series of objects of different sizes by each eye optical system with an ophthalmic optical correction, calculating indicia of image quality, comparing these to a threshold to determine just-discernible object sizes, and repeating this process for multiple eye optical systems to modify and select the optimal ophthalmic optical corrections based on image quality metrics such as resolution and contrast.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If computer simulation is used to calculate visual performance, then time and cost are reduced, but accuracy and versatility may be compromised

Engineering Contradiction:
Improvecalculation timeVSAvoidvisual performance accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by pre-calculating and storing indicia of image quality for multiple object sizes before actual visual performance assessment. This allows the simulation to quickly retrieve and compare pre-computed values rather than performing full calculations during measurement, significantly reducing calculation time while maintaining accuracy through use of pre-established optical models

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent employs parameter changes by systematically varying object size parameters across a series of objects and comparing results against thresholds. This approach enables the simulation to efficiently determine just-discernible object sizes by changing only the object size parameter while keeping other optical parameters constant, thereby reducing computational complexity without sacrificing measurement precision

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If a population of eye optical systems is simulated, then measurement precision improves, but device complexity increases

Engineering Contradiction:
Improvevisual performance accuracyVSAvoidsimulation system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies copying by creating simulated copies of eye optical systems with varying parameters to represent a population. Instead of requiring physical testing on multiple actual eyes, the simulation generates virtual copies with different anatomical and optical characteristics, enabling comprehensive population-based assessment while keeping the physical device complexity manageable through software-based modeling

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent implements universality by designing a simulation system that can handle multiple eye optical system configurations through a single unified platform. The same computational framework processes various eye types, object sizes, and optical corrections, making the complex simulation apparatus versatile and reducing the need for separate specialized equipment for each eye type or measurement condition

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS9091864B2System and method of calculating visual performance of an ophthalmic optical correction using simulation of imaging by a population of eye optical systems
Publication Date: 2015.07.28 BAUSCH & LOMB INC
  • US9091864B2 patent drawing
  • US9091864B2 patent drawing
  • US9091864B2 patent drawing

AI summary

A method of calculating clinical performance of an ophthalmic optical correction using simulation by imaging a series of objects of different sizes by each of a plurality of eye optical systems, each of the eye optical systems including the ophthalmic optical correction, the method comprising A.) at an object distance, calculating a set of indicia of image quality, each indicium of the set of indicia corresponding to an object in the series of objects when it is imaged by a given one of the plurality of eye optical systems, B.) at the object distance, comparing the set of indicia to a threshold to determine a just-discernable object size for the given one of the plurality of eye optical systems, and C.) repeating steps A and B for each eye optical system in the plurality of eye optical systems.