Automated detection of dilated capillaries on optical coherence tomography angiography

作者：Dongye, Changlei; Zhang, Miao; Hwang, Thomas S.; Wang, Jie; Gao, Simon S.; Liu, Liang; Huang, David; Wilson, David J.; Jia, Yali^*

来源：Biomedical Optics Express, 2017, 8(2): 1101-1109.

DOI：10.1364/BOE.8.001101

• AMPLITUDE-DECORRELATION ANGIOGRAPHY
• CHOROIDAL NEOVASCULARIZATION
• MOTION CORRECTION
• QUANTIFICATION
• REGISTRATION
• ALGORITHM

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.

• 出版日期2017-2-1
• 单位山东科技大学