Efficient customized eye modeling method to reproduce the two-dimensional distribution of peripheral refraction

Area of Science:

• Ophthalmology and Optical Engineering
• Biomedical Optics

Background:

• Accurate customized eye models are essential for understanding peripheral refraction and developing myopia control strategies.
• Existing optimization-based eye modeling techniques are often inefficient for practical applications.

Purpose of the Study:

• To propose a novel, highly efficient method for constructing customized eye models.
• To enable the reproduction of the two-dimensional peripheral refraction distribution across a wide visual field.
• To maintain measurable biometric parameters specific to each individual eye.

Main Methods:

• Development of a new eye modeling method based on generalized Coddington's equations.
• Establishment of a comprehensive measurement procedure using clinically accessible instruments.
• Verification of the method on individual eyes, including cases of emmetropia, myopia, and astigmatism.

Main Results:

• The proposed method demonstrates high efficiency in building customized eye models.
• The models successfully reproduce the 2D distribution of peripheral refraction.
• Accurate predictions were achieved across various refractive error types (emmetropia, myopia, astigmatism).

Conclusions:

• A novel, efficient eye modeling technique has been successfully developed and validated.
• This method provides accurate predictions of peripheral refraction, crucial for myopia control research and optical applications.
• The approach integrates biometric measurements for personalized eye model creation.