Synthesis of high-resolution fundus fluorescein angiography images using generative adversarial networks and image stitching

Yiwei Chen; Yi He; Wanyue Li; Jing Wang; Lina Xing; Xin Zhang; Guohua Shi

doi:10.1117/12.2648585

14 October 2022 Synthesis of high-resolution fundus fluorescein angiography images using generative adversarial networks and image stitching

Yiwei Chen, Yi He, Wanyue Li, Jing Wang, Lina Xing, Xin Zhang, Guohua Shi

Author Affiliations +

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123432X (2022) https://doi.org/10.1117/12.2648585
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

Although fundus fluorescein angiography is an imaging modality that supports ophthalmic diagnosis, it requires the intravenous injection of harmful fluorescein dye. We propose the synthesis of fluorescein angiography images from fundus structure images to avoid injection. Specifically, we automatically synthesize high-resolution fundus fluorescein angiography images through an algorithm that integrates a generative adversarial networks and image stitching and enhancement. By evaluating the peak signal-to-noise ratio and structural similarity index of the proposed algorithm, pix2pix, and cycleGAN, we confirmed the superior performance of our proposal. To further validate the proposed algorithm, we compared the fundus fluorescein angiography images synthesized by our algorithm, pix2pix, and cycleGAN. The experimental results show that our algorithm provides the highest resolution and quality in the synthesis of fluorescein angiography images from fundus structure images among the evaluated methods.

Citation Download Citation

Yiwei Chen, Yi He, Wanyue Li, Jing Wang, Lina Xing, Xin Zhang, and Guohua Shi "Synthesis of high-resolution fundus fluorescein angiography images using generative adversarial networks and image stitching", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123432X (14 October 2022); https://doi.org/10.1117/12.2648585

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KEYWORDS

Angiography

Image resolution

Image filtering

Current controlled current source

Gaussian filters

Digital filtering

Signal to noise ratio

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