Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning

Zhou, Ting1,2; Yang, Jianlong2; Zhou, Kang2,3; Fang, Liyang2; Hu, Yan4; Cheng, Jun2; Zhao, Yitian2; Chen, Xiangping1; Gao, Shenghua3; Liu, Jiang2,4

2020-06-15

10.1364/OSAC.393325

OSA Continuum   影响因子和分区

2578-7519

Optical coherence tomography angiography (OCTA) requires high transverse sampling density for visualizing retinal and choroidal capillaries. Low transverse sampling causes digital resolution degradation, such as the angiograms in wide-field OCTA. In this paper, we propose to address this problem using deep learning. We conducted extensive experiments on converting the centrally cropped 3 x 3 mm(2) field of view (FOV) of the 8 x 8 mm(2) foveal OCTA images (a sampling density of 22.9 mu m) to the native 3 x 3 mm(2) en face OCTA images (a sampling density of 12.2 mu m). We employed a cycle-consistent adversarial network architecture in this conversion. The quantitative analysis using the perceptual similarity measures shows the generated OCTA images are closer to the native 3 x 3 mm(2) scans. Besides, the results show the proposed method could also enhance the signal-to-noise ratio. We further applied our method to enhance diseased cases and calculate vascular biomarkers, which demonstrates its generalization performance and clinical perspective. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

ESCI ; EI

英语

其他

Ningbo "2025 ST Megaprojects"[2019B10033][2019B10061]

Optics

Optics

WOS:000561899900007

OPTICAL SOC AMER

20203609124230

E-learning ; Network architecture ; Angiography ; Deep learning ; Signal to noise ratio

Ergonomics and Human Factors Engineering:461.4 ; Medicine and Pharmacology:461.6 ; Information Theory and Signal Processing:716.1 ; Optical Devices and Systems:741.3 ; Imaging Techniques:746

Web of Science

1.Guizhou Univ, Elect Engn Coll, Guiyang, Guizhou, Peoples R China
2.Chinese Acad Sci, Cixi Inst Biomed Engn, Ningbo Inst Mat Technol & Engn, Beijing, Peoples R China
3.ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China
4.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen, Guangdong, Peoples R China

Zhou, Ting,Yang, Jianlong,Zhou, Kang,et al. Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning[J]. OSA Continuum,2020,3(6):1664-1678.

Zhou, Ting.,Yang, Jianlong.,Zhou, Kang.,Fang, Liyang.,Hu, Yan.,...&Liu, Jiang.(2020).Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning.OSA Continuum,3(6),1664-1678.

Zhou, Ting,et al."Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning".OSA Continuum 3.6(2020):1664-1678.