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OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

Untracht, Gavrielle R; Matos, Rolando S; Dikaios, Nikolaos; Bapir, Mariam; Durrani, Abdullah K; Butsabong, Teemapron; Campagnolo, Paola; ... Sampson, Danuta M; + view all (2021) OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images. PLoS One , 16 (12) , Article e0261052. 10.1371/journal.pone.0261052. Green open access

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Abstract

Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. With the goal of contributing to standardization of OCTA data analysis, we report a user-friendly, open-source toolbox, OCTAVA (OCTA Vascular Analyzer), to automate the pre-processing, segmentation, and quantitative analysis of en face OCTA maximum intensity projection images in a standardized workflow. We present each analysis step, including optimization of filtering and choice of segmentation algorithm, and definition of metrics. We perform quantitative analysis of OCTA images from different commercial and non-commercial instruments and samples and show OCTAVA can accurately and reproducibly determine metrics for characterization of microvasculature. Wide adoption could enable studies and aggregation of data on a scale sufficient to develop reliable microvascular biomarkers for early detection, and to guide treatment, of microvascular disease.

Type: Article
Title: OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0261052
Publisher version: https://doi.org/10.1371/journal.pone.0261052
Language: English
Additional information: © 2021 Untracht et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Ophthalmology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
URI: https://discovery.ucl.ac.uk/id/eprint/10150612
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