Automated image processing pipeline for adaptive optics scanning light ophthalmoscopy

To mitigate the substantial post-processing burden associated with adaptive optics scanning light ophthalmoscopy (AOSLO), we have developed an open-source, automated AOSLO image processing pipeline with both “live” and “full” modes. The live mode provides feedback during acquisition, while the full...

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Bibliographic Details
Published in:Biomedical optics express 2021-06, Vol.12 (6), p.3142-3168
Main Authors: Salmon, Alexander E., Cooper, Robert F., Chen, Min, Higgins, Brian, Cava, Jenna A., Chen, Nickolas, Follett, Hannah M., Gaffney, Mina, Heitkotter, Heather, Heffernan, Elizabeth, Schmidt, Taly Gilat, Carroll, Joseph
Format: Article
Language:English
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Summary:To mitigate the substantial post-processing burden associated with adaptive optics scanning light ophthalmoscopy (AOSLO), we have developed an open-source, automated AOSLO image processing pipeline with both “live” and “full” modes. The live mode provides feedback during acquisition, while the full mode is intended to automatically integrate the copious disparate modules currently used in generating analyzable montages. The mean (±SD) lag between initiation and montage placement for the live pipeline was 54.6 ± 32.7s. The full pipeline reduced overall human operator time by 54.9 ± 28.4%, with no significant difference in resultant cone density metrics. The reduced overhead decreases both the technical burden and operating cost of AOSLO imaging, increasing overall clinical accessibility.
ISSN:2156-7085
2156-7085
DOI:10.1364/BOE.418079