Image Evaluation Of Artificial Intelligence Supported Optical Coherence Tomography Angiography Imaging Using OCT-HS100 Device In Diabetic Retinopathy

Purpose: To investigate the effect of denoise processing by artificial intelligence (AI) on the optical coherence tomography angiography (OCTA) images in eyes with retinal lesions. Methods: Prospective, observational, cross-sectional study. OCTA imaging of a 3 x 3 mm area involving the lesions (neovascularization, intraretinal microvascular abnormality, and non-perfusion area) was performed five times using OCT-HS100 (Canon, Tokyo, Japan). We acquired AI-denoised OCTA images and averaging OCTA images generated from five cube scan data via built-in software. Main outcomes were image acquisition time and the subjective assessment by graders and quantitative measurements of original OCTA images, averaging OCTA images, and AI-denoised ...