Towards harmonization of retinal OCTA-derived microvascular metrics with open-source software OCTAVA

Gavrielle R. Untracht; Madeleine S. Durkee; Mei Zhao; Andrew Kwok-Cheung Lam; Bartosz L. Sikorski; Marinko V. Sarunic; Peter E. Andersen; David D. Sampson; Fred K. Chen; Danuta M. Sampson

doi:10.1117/12.3000195

13 March 2024 Towards harmonization of retinal OCTA-derived microvascular metrics with open-source software OCTAVA

Gavrielle R. Untracht, Madeleine S. Durkee, Mei Zhao, Andrew Kwok-Cheung Lam, Bartosz L. Sikorski, Marinko V. Sarunic, Peter E. Andersen, David D. Sampson, Fred K. Chen, Danuta M. Sampson

Author Affiliations +

Proceedings Volume PC12824, Ophthalmic Technologies XXXIV; PC128240A (2024) https://doi.org/10.1117/12.3000195
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Quantitative assessment of retinal microvasculature in optical coherence tomography angiography (OCTA) images is important for studying, diagnosing, monitoring, and guiding the treatment of ocular and systemic diseases. However, the OCTA user community lacks harmonized image analysis tools that provide reliable and consistent microvascular metrics from diverse datasets. We present a retinal version of the OCTA vascular analyzer (OCTAVA) that addresses the challenges of robust and reproducible analysis of retinal OCTA images. We validate OCTAVA using images collected by four commercial OCTA instruments demonstrating robust performance across datasets from different instruments acquired at different sites. We show that OCTAVA characterizes retinal microvascular metrics accurately and reduces their variation between studies. By making OCTAVA publicly available, we aim to expand standardized research and improve the reproducibility of quantitative analysis of retinal microvascular imaging.

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Gavrielle R. Untracht, Madeleine S. Durkee, Mei Zhao, Andrew Kwok-Cheung Lam, Bartosz L. Sikorski, Marinko V. Sarunic, Peter E. Andersen, David D. Sampson, Fred K. Chen, and Danuta M. Sampson "Towards harmonization of retinal OCTA-derived microvascular metrics with open-source software OCTAVA", Proc. SPIE PC12824, Ophthalmic Technologies XXXIV, PC128240A (13 March 2024); https://doi.org/10.1117/12.3000195

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KEYWORDS

Open source software

Equipment

Image analysis

Reproducibility

Retinal diseases

Optical coherence tomography

Optical sensing

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