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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
PubMed
Summary

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This summary is machine-generated.

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).

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  • 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.