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Automatic retinal nerve fiber bundle tracing based on large field of view polarization sensitive OCT data
Florian Schwarzhans1,2, Sylvia Desissaire3, Stefan Steiner4
1Department of Clinical Pharmacology, Medical University Vienna, Vienna, 1090, Austria.
Biomedical Optics Express
|February 14, 2022
Summary
A new method accurately estimates retinal nerve fiber bundle trajectories using stitched polarization-sensitive optical coherence tomography (PS-OCT) images. This technique aids in analyzing glaucoma progression by automatically tracking nerve fiber bundles in large field-of-view images.
Area of Science:
- Ophthalmology
- Medical Imaging
- Computational Biology
Background:
- Accurate estimation of retinal nerve fiber bundle (RNFB) trajectories is crucial for diagnosing and monitoring glaucoma.
- Existing methods may lack accuracy or require manual intervention, especially in large field-of-view (FOV) imaging.
Purpose of the Study:
- To develop and validate a fully automatic technique for precise RNFB trajectory estimation.
- To assess the performance of the technique in both healthy individuals and glaucoma patients.
Main Methods:
- Utilized stitched projections of polarization-sensitive optical coherence tomography (PS-OCT) data.
- Incorporated a mathematical model of average RNFB trajectories as prior information.
- Developed a fully automatic algorithm for RNFB trajectory detection.
Main Results:
- The technique successfully estimated RNFB trajectories in large FOV (45°) images.
- Automatic detection of RNFB trajectories was achieved.
- Results were compared with manual traces in healthy subjects and glaucoma patients.
Conclusions:
- The described method offers an accurate and automated approach for RNFB trajectory estimation.
- This technique has potential applications in glaucoma diagnosis and research.
- Further validation against manual segmentation and clinical outcomes is warranted.
