Project Details
Description
This research and technological development project focuses on the study of corneal biomechanics to improve the analysis of the eye tissue's response to external forces, with the ultimate goal of preventing post-operative ectasias. The problem addressed is the persistent uncertainty following refractive surgeries, where the cornea may not correct adequately or may even worsen its condition. The proposed solution is to expand and refine a previous biomechanical simulation, using materials like Neo Hookean and biomechanical parameters extracted from clinical examinations (Pentacam). The aim is to generate a more robust database of three-dimensional simulations of healthy and pathological corneas (keratoconus, glaucoma). Key features include validating simulation parameters against clinical data (Corvis and Pentacam), applying advanced methods such as artificial intelligence (neural networks) or digital image correlation to analyze force and stress distribution maps. The expected impact is the creation of a diagnostic support tool that allows specialists to identify corneal reaction patterns, thereby improving the timely treatment of pathologies and reducing surgical risks, contributing to better patient visual acuity.<br/><br/><b>Goal</b>: <br/>To identify the changes in behavior of the distribution maps obtained through biomechanical corneal simulation, comparing them with clinical examinations, using pattern recognition and image analysis methods.<br/><br/><b>Research lines</b>: <br/>Bioethics and disabilities
| Status | Finished |
|---|---|
| Effective start/end date | 8/06/23 → 8/12/24 |
Keywords
- Corneal Biomechanics
- Biomechanical Simulation
- Corneal Response Analysis
- Post-operative Ectasias
- Artificial Intelligence
- Pattern Recognition
- Force Distribution Maps
- Young's Modulus
- Corneal Tomography
- Refractive Surgery
- Technological Development
- Numerical Modeling
CACES Knowledge Areas
- 8315A Biomedicine
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