Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography

Simon S. Gao; Li Liu; Steven T. Bailey; Christina J. Flaxel; David Huang; Dengwang Li; Yali Jia

doi:10.1117/1.JBO.21.7.076010

19 July 2016 Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography

Simon S. Gao, Li Liu, Steven T. Bailey, Christina J. Flaxel, David Huang, Dengwang Li, Yali Jia

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Journal of Biomedical Optics, Vol. 21, Issue 7, 076010 (July 2016). https://doi.org/10.1117/1.JBO.21.7.076010

Abstract

Quantification of choroidal neovascularization (CNV) as visualized by optical coherence tomography angiography (OCTA) may have importance clinically when diagnosing or tracking disease. Here, we present an automated algorithm to quantify the vessel skeleton of CNV as vessel length. Initial segmentation of the CNV on en face angiograms was achieved using saliency-based detection and thresholding. A level set method was then used to refine vessel edges. Finally, a skeleton algorithm was applied to identify vessel centerlines. The algorithm was tested on nine OCTA scans from participants with CNV and comparisons of the algorithm’s output to manual delineation showed good agreement.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Simon S. Gao, Li Liu, Steven T. Bailey, Christina J. Flaxel, David Huang, Dengwang Li, and Yali Jia "Quantification of choroidal neovascularization vessel length using optical coherence tomography angiography," Journal of Biomedical Optics 21(7), 076010 (19 July 2016). https://doi.org/10.1117/1.JBO.21.7.076010

Published: 19 July 2016

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