Chinese Optics Letters, 2017, 15 (5): 051101, Published Online: Jul. 23, 2018  

Automated segmentation and quantitative study of retinal pigment epithelium cells for photoacoustic microscopy imaging Download: 937次

Author Affiliations
1 School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
2 College of Science, Shanghai Institute of Technology, Shanghai 201418, China
3 Center for Molecular Imaging and Translational Medicine, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China
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.

Lin Li, Qian Li, Cuixia Dai, Qingliang Zhao, Tianhao Yu, Xinyu Chai, Chuanqing Zhou. Automated segmentation and quantitative study of retinal pigment epithelium cells for photoacoustic microscopy imaging[J]. Chinese Optics Letters, 2017, 15(5): 051101.

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