Finite Element Cornea Model for Biomechanical Diagnosis
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Solution Overview
Problem
Early detection of keratoconus is challenging due to the lack of noticeable changes in corneal shape, and existing methods struggle to measure biomechanical stresses and strains in the corneal tissue, which complicates determining suitability for refractive surgical procedures.
Innovation Solution
A system and method using a finite element model of the cornea, where the anterior and posterior surfaces are mapped under varying pressures to evaluate biomechanical parameters, allowing for the diagnosis of keratoconus before noticeable anatomical changes occur and assessing suitability for refractive surgery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging techniques are used to detect keratoconus, then the diagnostic process is simple and cost-effective, but the disease cannot be detected in early stages before noticeable anatomical changes occur
Solution Approach 1:
A finite element model serves as an intermediary between the cornea and the diagnostic system. The model incorporates biomechanical properties and stress-strain relationships to translate subtle early-stage corneal changes into detectable signals, enabling early detection without requiring noticeable anatomical deformations
Solution Approach 2:
The system changes the parameter being measured from gross anatomical shape to biomechanical stress-strain parameters. By monitoring changes in biomechanical properties rather than visible shape changes, the system can detect keratoconus in early stages before anatomical abnormalities become apparent
2Measurement precision
If biomechanical stress and strain measurements are implemented for early diagnosis, then diagnostic precision is improved, but the measurement process becomes extremely difficult and complex
Solution Approach 1:
Instead of directly measuring complex biomechanical stresses and strains in the cornea, the system creates a computational copy (finite element model) of the corneal structure. This model replicates the biomechanical behavior, allowing indirect measurement of stress-strain parameters through image analysis and computational simulation, thereby reducing measurement system complexity
3Reliability
If corneal tissue loss is assessed to determine surgical candidacy, then surgical safety is improved, but additional diagnostic time and complexity are required
Solution Approach 1:
The finite element model serves multiple functions simultaneously: it detects early-stage keratoconus, assesses corneal biomechanical properties, quantifies tissue loss, and determines surgical candidacy. This multi-functionality consolidates what would otherwise be separate diagnostic procedures into a single integrated system, reducing total diagnostic time while maintaining comprehensive assessment reliability
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 precise early diagnosis of keratoconus by mapping corneal topographies under pressure, providing biomechanical parameters that help determine if a cornea is suitable for refractive surgical procedures, improving diagnostic precision and cost-effectiveness.
Implementation Method 1
the shape of a cornea, as determined by its surface topographies, is a consequence of the stress-strain relationships experienced by tissues inside the cornea
Implementation Method 2
respective topographies for the anterior and posterior surfaces of a cornea can be obtained using known imaging techniques (e.g. second harmonic generation imaging)
Data Source
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AI summary
A system and method for assisting in the diagnosis of the onset of keratoconus in a cornea requires subjecting the cornea of an eye to a pressure that changes its shape. A topography of the cornea's anterior surface (possibly, the posterior surface also) is mapped. The mapped topography is then fitted on a mathematical model of the cornea. Measurements corresponding to biomechanical parameters in the cornea are then taken from the model. Next, a computer is used to evaluate the biomechanical parameters to provide a measurement as to whether the cornea is keratoconic.