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Quantitative Correction for Peripheral Distortion in Ultra-Widefield Fundus Imaging Using a High-Precision 3D-Printed
Hyunmin Na1, Jun Sung Park1,2, Seung Woo Choi1,3
1Department of Ophthalmology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of South Korea.
Translational Vision Science & Technology
|June 4, 2026
Summary
This study quantifies peripheral distortion in ultra-widefield fundus imaging, developing correction models for accurate retinal structure analysis across various eye conditions and devices.
Area of Science:
- Ophthalmology
- Medical Imaging
- Optical Engineering
Background:
- Ultra-widefield (UWF) fundus imaging offers extensive retinal visualization.
- Peripheral distortion can affect quantitative analysis in UWF images.
- Standardized correction methods are needed for diverse ocular parameters.
Purpose of the Study:
- To create a quantitative database for correcting peripheral distortion in UWF fundus imaging.
- To account for variations in axial length (AXL), optical media, and posterior staphyloma.
- To develop analytical models for distortion correction.
Main Methods:
- Utilized 3D printed model eyes imaged with two UWF systems (Optos 200Tx, Clarus 700).
- Quantified peripheral distortion index (PDI) at various angles under air and balanced salt solution (BSS).
- Developed continuous correction models and calculated staphyloma-specific correction factors.
Main Results:
- PDI increased nonlinearly with peripheral angle, significantly higher in Optos 200Tx than Clarus 700.
- Distortion was slightly greater under air than BSS for both systems.
- Analytical models accurately reproduced measured distortion (R² = 0.976-0.993).
- Posterior staphyloma models showed reduced distortion with correction factors ranging from 0.904 to 0.984.
Conclusions:
- A comprehensive quantitative correction database and analytical models for UWF imaging distortion were established.
- These tools enable accurate distortion correction across varying AXL, media, and ocular pathologies.
- Validated correction database ensures reproducible quantification of retinal structures.
