Choroidal thickness maps from spectral domain and swept source optical coherence tomography: algorithmic versus
Ana-Maria Philip1, Bianca S Gerendas1, Li Zhang2
1Christian Doppler Laboratory for Ophthalmic Image Analysis, Department of ophthalmology, Medical University of Vienna, Vienna, Austria.
Spectral domain optical coherence tomography (SD-OCT) and swept source (SS-) OCT provide interchangeable choroidal thickness measurements in healthy eyes. An automated algorithm for choroidal thickness analysis is validated for clinical use.
Area of Science:
- Ophthalmology
- Medical Imaging
- Retinal Imaging Analysis
Background:
- Choroidal thickness is a key indicator of ocular health.
- Standardized measurement protocols are essential for accurate clinical assessment.
- Comparing different optical coherence tomography (OCT) devices and segmentation methods is crucial.
Purpose of the Study:
- To establish a standardized protocol for choroidal thickness measurements.
- To evaluate the interchangeability of choroidal thickness measurements between spectral domain optical coherence tomography (SD-OCT) and swept source (SS-) OCT.
- To compare manual and automated segmentation algorithms for choroidal thickness assessment.
Main Methods:
- Volumetric OCT scans were acquired from 18 healthy volunteers.
- Choroidal thickness was measured using both SD-OCT and SS-OCT devices.
- Manual segmentation by expert graders and automated segmentation algorithms were compared.
Main Results:
- A systematic difference in choroidal thickness was observed between SD-OCT and SS-OCT, with automated segmentation showing a larger discrepancy.
- Automated and manual segmentations yielded comparable results, with minimal differences in thickness.
- High correlation coefficients (0.975 for manual, 0.955 for automatic) were found between SD-OCT and SS-OCT measurements within eyes.
Conclusions:
- SD-OCT and SS-OCT are interchangeable for choroidal thickness measurements in healthy retinas, with minor differences not clinically significant.
- The automated algorithm for choroidal thickness segmentation is validated and reliable for use in healthy individuals.
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