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Automated segmentation and quantitative study of retinal pigment epithelium cells for photoacoustic microscopy imaging

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【Author】 Lin Li;Qian Li;Cuixia Dai;Qingliang Zhao;Tianhao Yu;Xinyu Chai;Chuanqing Zhou;School of Biomedical Engineering,Shanghai Jiao Tong University;College of Science,Shanghai Institute of Technology;Center for Molecular Imaging and Translational Medicine,State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University;

【机构】 School of Biomedical Engineering,Shanghai Jiao Tong University； College of Science,Shanghai Institute of Technology； Center for Molecular Imaging and Translational Medicine,State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics,School of Public Health,Xiamen University；

【摘要】 We develop an improved region growing method to realize automatic retinal pigment epithelium(RPE) cell segmentation for photoacoustic microscopy(PAM) imaging. The minimum bounding rectangle of the segmented region is used in this method to dynamically update the growing threshold for optimal segmentation. Phantom images and PAM imaging results of normal porcine RPE are applied to demonstrate the effectiveness of the segmentation. The method realizes accurate segmentation of RPE cells and also provides the basis for quantitative analysis of cell features such as cell area and component content, which can have potential applications in studying RPE cell functions for PAM imaging.更多还原

【Abstract】 We develop an improved region growing method to realize automatic retinal pigment epithelium(RPE) cell segmentation for photoacoustic microscopy(PAM) imaging. The minimum bounding rectangle of the segmented region is used in this method to dynamically update the growing threshold for optimal segmentation. Phantom images and PAM imaging results of normal porcine RPE are applied to demonstrate the effectiveness of the segmentation. The method realizes accurate segmentation of RPE cells and also provides the basis for quantitative analysis of cell features such as cell area and component content, which can have potential applications in studying RPE cell functions for PAM imaging.更多还原

【关键词】 segmentation； pigment； epithelium； segmented； bounding； pixel； dynamically； porcine； noisy； neighborhood；

【基金】 supported by the National Natural Science Foundation of China(NSFC)(Nos.81171377,61273368,61472247,61307015,and 61675134);the Open Research Fund of State Key Laboratory of Transient Optics and Photonics,Chinese Academy of Sciences(No.SKLST201501)

【文献出处】 Chinese Optics Letters ,中国光学快报(英文版) , 编辑部邮箱 ,2017年05期

【分类号】R774.1;TP391.41
【下载频次】52

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