Synthesizing retinal degree of polarization uniformity from OCT with OCT-angiography by deep learning

Yusong Liu; Shuichi Makita; Masahiro Miura; Takuya Iwasaki; Shinnosuke Azuma; Toshihiro Mino; Tatsuo Yamaguchi; Yoshiaki Yasuno

doi:10.1117/12.2648705

14 March 2023 Synthesizing retinal degree of polarization uniformity from OCT with OCT-angiography by deep learning

Yusong Liu, Shuichi Makita, Masahiro Miura, Takuya Iwasaki, Shinnosuke Azuma, Toshihiro Mino, Tatsuo Yamaguchi, Yoshiaki Yasuno

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Proceedings Volume 12360, Ophthalmic Technologies XXXIII; 123600C (2023) https://doi.org/10.1117/12.2648705
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Degree of polarization uniformity (DOPU) provides promising biomarkers of abnormalities in the retinal pigment epithelium (RPE) and is obtained by polarization-sensitive optical coherence tomography (OCT), which is not commercially available. A U-Net shape model was used to synthesize retinal DOPU from OCT with OCT angiography (OCTA) images. Sets of OCT, OCTA, and DOPU images from 175 subjects, 107 subjects, and 30 subjects were used for training, validation, and evaluation, respectively. RPE abnormalities were compared between True DOPU and synthesized DOPU. Healthy structure, RPE elevation, and RPE thickening were synthesized with high recall and precision. However, further improvements are required for RPE defect and hyperreflective retina foci synthesizing.

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Yusong Liu, Shuichi Makita, Masahiro Miura, Takuya Iwasaki, Shinnosuke Azuma, Toshihiro Mino, Tatsuo Yamaguchi, and Yoshiaki Yasuno "Synthesizing retinal degree of polarization uniformity from OCT with OCT-angiography by deep learning", Proc. SPIE 12360, Ophthalmic Technologies XXXIII, 123600C (14 March 2023); https://doi.org/10.1117/12.2648705

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