Opto-Mechanical Eye Modeling from Iris and Ciliary Body Anchoring

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Solution Overview

Problem

Existing opto-mechanical eye models fail to consider interindividual differences and interconnectivity of ocular components, making them ineffective for predicting or diagnosing conditions on an individual level, and require extensive biometry measurements and manual development by experts.

Innovation Solution

A computer-implemented method for generating an opto-mechanical model of a camera-type eye that accounts for interindividual differences and interconnectivity by using ocular biometry parameters to anchor and transform iris and ciliary body shapes, and model zonular fibres as polygons, reducing the need for manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If extensive ocular biometry measurements and manual development by experts are used, then the accuracy and reliability of individualized opto-mechanical models is improved, but the time required and complexity of the process increases

Engineering Contradiction:
Improveaccuracy of individualized modelVSAvoidtime for model generation
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-defining generic shapes for ocular components (iris, ciliary body, zonular fibres) that can be directly transformed and anchored to individual patient data. This eliminates the need for manual modeling from scratch, significantly reducing the time required to generate individualized models while maintaining accuracy through the transformation of pre-established geometric representations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating a generic template model that represents the average anatomy of ocular components. This template is then transformed and adapted to match individual patient measurements, allowing rapid generation of personalized models without requiring expert manual construction for each patient, thus reducing time while preserving reliability.

Inventive Principle:
Principle #26Copying

2Manufacturing precision

If manual development by experts is required, then the precision of the model is improved, but the ease of operation and accessibility decreases

Engineering Contradiction:
Improvemodel precisionVSAvoidaccessibility to professionals
Core Design Contradiction:
Manufacturing precisionVSEase of operation

Solution Approach 1:

The patent implements self-service by providing an automated computational method that performs the model generation process without requiring expert intervention. The system automatically transforms generic shapes to match individual patient data, performs the anchoring of ocular components, and generates the final model, making the process accessible to professionals without specialized expertise in manual modeling.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual expert modeling with an automated computational algorithm. The generic shapes are mathematically transformed and anchored to patient data through computer-based calculations, eliminating the need for manual manipulation and expert skill, thereby improving ease of operation while maintaining precision through computational accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If interconnectivity of ocular components is modeled, then the reliability of predicting optical outcomes is improved, but the device complexity increases

Engineering Contradiction:
Improveprediction accuracy of optical outcomesVSAvoidcomplexity of modeling interconnectivity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent applies segmentation by dividing the eye model into distinct, modular components (cornea, iris, ciliary body, zonular fibres, crystalline lens) that can be independently defined and transformed. Each component is represented as a separate geometric entity with its own parameters, allowing the interconnectivity to be modeled through the relationships between these segmented parts rather than as a single complex structure, thus improving reliability while managing complexity.

Inventive Principle:
Principle #1Segmentation

4Ease of manufacture

If generic averaged biometric data is used, then the ease of manufacture is improved, but the adaptability to individual differences decreases

Engineering Contradiction:
Improveease of model generationVSAvoidindividualization capability
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The patent implements dynamics by creating a flexible modeling approach where generic shapes are dynamically transformed to match individual patient measurements. The model adapts to individual differences through mathematical transformations of the generic geometry, allowing the same base template to serve multiple individuals with different anatomical characteristics. This maintains ease of manufacture through the use of a single generic template while achieving high adaptability through parameter transformation.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentEP4696216A1A computer-implemented method for opto-mechanical eye modelling
Publication Date: 2026.02.18 UNIVERSITEIT ANTWERPEN
  • EP4696216A1 patent drawingFigure 1
  • EP4696216A1 patent drawingFigure 2
  • EP4696216A1 patent drawingFigure 3

AI summary

Example embodiments relate to a computer-implemented method for generating an opto-mechanical model of a camera-type eye from ocular biometry parameters that define the anatomy of the camera-type eye; wherein the ocular biometry parameters comprise at least a pupil size (224) and an iris thickness (223). The computer-implemented method comprises obtaining a predetermined iris shape (220) and a predetermined ciliary body shape (230); anchoring (201) one or more data points (221) of an outer edge of the iris shape (220) to one or more reference points of the posterior corneal surface; transforming (202) the iris shape (220) as to respect the pupil size (224) and the iris thickness (223); anchoring (203) a first portion of the outer edge (250) of the ciliary body shape to a portion of an outer edge (225) of the iris shape; transforming (204) the ciliary body shape (230) such that a second portion of an outer edge (231) of the ciliary body shape coincides with a portion of the inner scleral surface (212); and generating (205) one or more polygons (261, 262) indicative for respective zonular fibres, wherein the respective one or more polygons are defined by at least two data points located on the crystalline lens surface (240) and at least two data points located on an inner edge (232) of the ciliary body shape.