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Automated superpixels-based identification and mosaicking of cone photoreceptor cells for adaptive optics scanning laser ophthalmoscope

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Abstract

An automated superpixels identification/mosaicking method is presented for the analysis of cone photoreceptor cells with the use of adaptive optics scanning laser ophthalmoscope (AO-SLO) images. This is an image oversegmentation method used for the identification and mosaicking of cone photoreceptor cells in AO-SLO images. It includes image denoising, estimation of the cone photoreceptor cell number, superpixels segmentation, merging of superpixels, and final identification and mosaicking processing steps. The effectiveness of the presented method was confirmed based on its comparison with a manual method in terms of precision, recall, and F1-score of 77.3%, 95.2%, and 85.3%, respectively.

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DOI:10.3788/COL202018.101701

所属栏目:Biomedical Optics

基金项目:This work was supported by the Jiangsu Provincial Key R&D Program (Nos. BE2019682 and BE2018667), National Natural Science Foundation of China (Nos. 61605210, 61675226, and 61378090), Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2019320), National Key R&D Program of China (Nos. 2016YFC0102500 and 2017YFB0403700), Frontier Science Research Project of the Chinese Academy of Sciences (No. QYZDB-SSW-JSC03), and Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB02060000).

收稿日期:2020-03-21

录用日期:2020-06-01

网络出版日期:2020-07-31

作者单位    点击查看

陈一巍:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
何益:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
王晶:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China;Department of Biomedical Engineering, University of Science and Technology of China, Hefei 230041, China
李婉越:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China;Department of Biomedical Engineering, University of Science and Technology of China, Hefei 230041, China
邢利娜:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
高峰:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China
史国华:Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China;Department of Biomedical Engineering, University of Science and Technology of China, Hefei 230041, China;Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China

联系人作者:史国华(ghshi_lab@126.com)

备注:This work was supported by the Jiangsu Provincial Key R&D Program (Nos. BE2019682 and BE2018667), National Natural Science Foundation of China (Nos. 61605210, 61675226, and 61378090), Youth Innovation Promotion Association of Chinese Academy of Sciences (No. 2019320), National Key R&D Program of China (Nos. 2016YFC0102500 and 2017YFB0403700), Frontier Science Research Project of the Chinese Academy of Sciences (No. QYZDB-SSW-JSC03), and Strategic Priority Research Program of the Chinese Academy of Sciences (No. XDB02060000).

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引用该论文

Yiwei Chen, Yi He, Jing Wang, Wanyue Li, Lina Xing, Feng Gao, Guohua Shi, "Automated superpixels-based identification and mosaicking of cone photoreceptor cells for adaptive optics scanning laser ophthalmoscope," Chinese Optics Letters 18(10), 101701 (2020)

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