Automated quantitative characterisation of retinal vascular leakage and microaneurysms in ultra-widefield fluorescein angiography.

ABSTRACT: Ultra-widefield fluorescein angiography (UWFA) is an emerging imaging modality used to characterise pathology in the retinal vasculature such as microaneurysms (MAs) and vascular leakage. Despite its potential value for diagnosis and disease surveillance, objective quantitative assessment of retinal pathology by UWFA is currently limited because it requires laborious manual segmentation by trained human graders. In this report, we describe a novel fully automated software platform, which segments MAs and leakage areas in native and dewarped UWFA images with retinal vascular disease. Comparison of the algorithm with human grader-generated gold standards demonstrated significant strong correlations for MA and leakage areas (intraclass correlation coefficient (ICC)=0.78-0.87 and ICC=0.70-0.86

SUBMITTER: Ehlers JP 

PROVIDER: S-EPMC5512291 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature