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: 948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
Figures & Tables

Fig. 1. Schematic of the PAM system. PC1 and PC2, personal computer for scanning control and data acquisition; BS, beam splitter; PD, photodiode; FP1 and FP2, FiberPort for coupling or collimating; SMF, single mode fiber; 2D GM, two-dimensional galvanometer; SL, scan lens; TL, tube lens; OL, objective lens; UT, ultrasonic transducer; M1 and M2, mirror.

下载图片 查看原文

Fig. 2. Flow diagram of automatic RPE cell segmentation with the improved region growing method.

下载图片 查看原文

Fig. 3. Seed point distribution for segmentation. (a) Initial distribution of seed points shown as the red points, the dashed box is the defined square region for redistribution of the seed point in the center of the box, and the blue point is the transferred seed point after redistribution. (b) Redistributed seed points of the same region in (a) shown as the blue points. Bar: 10 μm.

下载图片 查看原文

Fig. 4. RPE cell segmentation with improved region growing method. (a), (e) PAM images of different RPE cells with red arrows pointing to the selected cells for segmentation. (b), (f) Intermediate results of the segmentation method with the MBRs shown as the red boxes. (c), (g) Final segmented results with MBRs. (d), (h) Superposed images of the segmented regions and original imaging results. Bar: 10 μm.

下载图片 查看原文

Fig. 5. Cell segmentation for numerical phantom images of simulated RPE cells. (a) Initial phantom image with a value of one within the cell region and zero within the intercellular region. (b) Typical acquired PAM signal amplitude profile of RPE cells along five adjacent cells and simulated signal amplitude profiles along the red line in (a) under the SNRs of 12, 5, and 3 dB, respectively. (c), (e) Phantom MAP images of simulated RPE cells under 5 and 3 dB SNRs. (d), (f) cell segmentation results for phantom images of (c) and (e), respectively. (g), (h) Statistical results of the cell number and area under a changing SNR from 6 to 2 dB.

下载图片 查看原文

Fig. 6. PAM imaging of RPE and quantitative results of RPE cells. (a) MAP image of RPE cells. (b) Segmented result of all the complete cells in (a). (c) Statistical result of cell area for all cells in (b). (d) Correlation between the cell area and intensity with the fitted results shown as the red and blue lines. Bar: 15 μm.

下载图片 查看原文

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.

引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!