SequenceGAN: Generating Fundus Fluorescence Angiography Sequences from Structure Fundus ImageOpen Website

Published: 01 Jan 2021, Last Modified: 12 May 2023SASHIMI@MICCAI 2021Readers: Everyone
Abstract: Fundus fluorescein angiography (FA) is an indispensable procedure that can investigate the integrity of retina vasculature. Fluorescein angiograms progress through five phases: pre-arterial, arterial, arteriovenous, venous, and late, and each phase could be an important diagnostic basis for retina-related disease. However, the FA imaging technique may provide risks of harm to the patients. To help physicians reduce the potential risks of diagnosis, we proposed “SequenceGAN”, a novel sequential generative adversarial network that aims to generate FA sequences of critical phases from a structure fundus image. Moreover, a feature-space loss is applied to ensure the generated FA sequences with a better visual effect. The proposed method was qualitatively and quantitatively compared with existing FA image generation methods and image translation methods. The experimental results indicate that the proposed model has better performance on the generation of retina vascular, leakage structures, and characteristics of each angiogram phase, and thus indicates potential value for application in clinical diagnosis.
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