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Nonlinear distortion correction for posterior eye segment optical coherence tomography with application to tree
Rafael Grytz1, Mustapha El Hamdaoui1, Preston A Fuchs1
1Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, AL, USA.
Biomedical Optics Express
|March 14, 2022
Summary
We developed an empirical method to correct distortions in optical coherence tomography (OCT) scans of the eye. This approach improves the accuracy of 3D imaging for small animal models.
Area of Science:
- Ophthalmology
- Biomedical Imaging
- Optical Coherence Tomography
Background:
- Optical coherence tomography (OCT) is crucial for imaging the posterior eye segment.
- Fan-scanning OCT systems often introduce nonlinear distortions.
- These distortions can lead to inaccurate 3D interpretations of ocular structures.
Purpose of the Study:
- To propose and validate an empirical distortion correction method for fan-scanning OCT.
- To improve the anatomical accuracy of posterior segment OCT images in small animal models.
- To reduce bias in the 3D interpretation of OCT scans.
Main Methods:
- Developed an empirical distortion correction approach for fan-scanning OCT.
- Utilized retinal curvature from MRI and implanted glass beads as reference markers in tree shrew eyes.
- Applied the correction method to distorted optic nerve head images.
Main Results:
- The proposed empirical method effectively reduced nonlinear distortions in small animal OCT images.
- Performance was superior to traditional linear scaling methods.
- Demonstrated significant improvement in anatomical accuracy compared to uncorrected scans.
Conclusions:
- The empirical distortion correction method significantly enhances the accuracy of posterior segment OCT imaging.
- This technique mitigates bias in 3D interpretations, crucial for research involving small animal models.
- The approach offers a valuable tool for improving OCT data reliability in ophthalmology.
