Automated detection of dilated capillaries on optical coherence tomography angiography
| Autor: | Thomas S. Hwang, Yali Jia, David J. Wilson, Liang Liu, Simon S. Gao, Changlei Dongye, Jie Wang, Miao Zhang, David Huang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Retina medicine.diagnostic_test Dilated capillaries business.industry Optical coherence tomography angiography Diabetic retinopathy medicine.disease 01 natural sciences Article Atomic and Molecular Physics and Optics 010309 optics 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Optical coherence tomography Automated algorithm 0103 physical sciences Angiography 030221 ophthalmology & optometry medicine Radiology business Grading (tumors) Biotechnology |
| Zdroj: | Biomedical Optics Express. 8:1101 |
| ISSN: | 2156-7085 |
| DOI: | 10.1364/boe.8.001101 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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