Simulation and modeling of metamorphopsia with a deformable amsler grid

Area of Science:

• Ophthalmology
• Computer Science
• Biomedical Engineering

Background:

• Metamorphopsia, a visual distortion, significantly impacts patients' quality of life.
• Current methods for assessing and correcting metamorphopsia are limited.
• Developing patient-specific models is crucial for effective visual compensation.

Purpose of the Study:

• To propose and validate a novel method for simulating and modeling metamorphopsia using a deformable Amsler grid.
• To quantify the potential correction rate for metamorphopsia based on simulated distortions.
• To lay the groundwork for developing personalized visual correction devices.

Main Methods:

• Development of an interactively deformable Amsler grid utilizing cubic B-splines for localized deformation control.
• Simulation of metamorphopsia in healthy volunteers to analyze distortion magnitudes.
• Application of a correction model and assessment of the achievable correction percentage through qualitative feedback.

Main Results:

• A significant correction percentage of 75.78% (±7.36% standard deviation) was achieved in simulated metamorphopsia.
• The study demonstrates the feasibility of correcting visual distortions with patient guidance.
• The deformable grid effectively models patient-specific visual aberrations.

Conclusions:

• The proposed deformable Amsler grid is a viable tool for simulating and quantifying metamorphopsia.
• This method provides a quantitative measure of correction feasibility for visual distortions.
• Future implementation in head-mounted displays holds promise for personalized metamorphopsia compensation.