Automated detection of dilated capillaries on optical coherence tomography angiography

Automated detection and grading of angiographic high-risk features in diabetic retinopathy can potentially enhance screening and clinical care. We have previously identified capillary dilation in angiograms of the deep plexus in optical coherence tomography angiography as a feature associated with s...

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Bibliographic Details
Published in:Biomedical optics express 2017-02, Vol.8 (2), p.1101-1109
Main Authors: Dongye, Changlei, Zhang, Miao, Hwang, Thomas S, Wang, Jie, Gao, Simon S, Liu, Liang, Huang, David, Wilson, David J, Jia, Yali
Format: Article
Language:English
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Summary:Automated detection and grading of angiographic high-risk features in diabetic retinopathy can potentially enhance screening and clinical care. We have previously identified capillary dilation in angiograms of the deep plexus in optical coherence tomography angiography as a feature associated with severe diabetic retinopathy. In this study, we present an automated algorithm that uses hybrid contrast to distinguish angiograms with dilated capillaries from healthy controls and then applies saliency measurement to map the extent of the dilated capillary networks. The proposed algorithm agreed well with human grading.
ISSN:2156-7085
2156-7085
DOI:10.1364/BOE.8.001101