Automated segmentation and quantitative study of retinal pigment epithelium cells for photoacoustic microscopy imaging
Automated segmentation and quantitative study of retinal pigment epithelium cells for photoacoustic microscopy imaging
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用于光声显微镜成像的视网膜色素上皮细胞的自动分割和定量研究
DOI：
10.3788/col201715.051101
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发表时间：
2017-03
影响因子：
3.5
通讯作者：
Zhou CQ
中科院分区：
文献类型：
--
作者：
Li Lin;Li Qian;Yu Tianhao;Chai Xinyu;Zhou Chuanqing;Dai Cuixia;Zhao Qingliang;Chai XY;Zhou CQ
提出了一种改进的区域生长法，实现了光声显微镜(PAM)成像中视网膜色素上皮(RPE)细胞的自动分割。该方法利用分割区域的最小外接矩形动态更新生长阈值，实现最优分割。应用人体模型图像和正常猪视网膜色素上皮的PAM成像结果验证了分割的有效性。该方法实现了RPE细胞的准确分割，为细胞面积、成分含量等细胞特征的定量分析提供了依据，在PAM成像研究RPE细胞功能方面具有潜在的应用价值。
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.