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
110.5120 Photoacoutic imaging 110.0180 Microscopy 100.2000 Digital image processing 170.1530 Cell analysis
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.