光学学报, 2018, 38 (10): 1017001, 网络出版: 2019-05-09
基于空间信息改进聚类的切伦科夫荧光图像去噪算法 
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Denoising Algorithm of Cerenkov Luminescence Images Based on Spatial Information Improved Clustering
图 & 表
图 1. (a)真实实验的CLI图像; (b) CLI图像的直方图
Fig. 1. (a) CLI image of vivo experiment; (b) histogram of CLI image
图 2. 数值仿真实验的CLI图像。(a)数字鼠,蓝色小圆圈内的红点代表CL源位置; (b) CLI仿真图像; (c)添加噪声后的CLI仿真图像
Fig. 2. CLI images in numerical simulation. (a) Digital mouse, CL source location is the red point in blue circle; (b) simulated CLI image; (c) simulated CLI image after adding noises
图 3. CLI图像采用滑动窗口大小分别为(a) 3、(b) 5、(c) 7的中值滤波算法的去噪结果和(d) FLICMTV算法的去噪结果
Fig. 3. Denoising results of median filter algorithm with sliding window sizes of (a) 3, (b) 5, and (c) 7, as well as (d) denoising result of FLICMTV algorithm
图 4. 中值滤波算法和FLICMTV去噪算法的RMSE和SSIM。(a) ROI的RMSE; (b) ROI的SSIM; (c) RMSE; (d) SSIM
Fig. 4. RMSE and SSIM of median filter and FLICMTV denoising algorithms. (a) RMSE of ROI; (b) SSIM of ROI; (c) RMSE; (b) SSIM
图 5. 物理仿体实验结果。(a)原始CLI图像; (b)使用FLICMTV算法去噪后的CLI图像; (c)使用中值滤波算法去噪后的CLI图像(滑动窗口大小为5); (d)红线位置处的像素强度; (e)黄色正方形区域内不同去噪算法的SSIM
Fig. 5. Results of physical phantom experiment. (a) Original CLI image; (b) denoised CLI image with FLICMTV algorithm; (c) denoised CLI image with median filter algorithm with sliding window size of 5; (d) pixel intensity at red lines; (e) SSIM of different denoising algorithms in yellow rectangle
图 6. 真实动物实验结果。(a)小鼠的白光图像,红色小圆圈处为假瘤区域; (b)原始CLI图像; (c) FLICMTV算法去噪后的CLI图像; (d)中值滤波算法(滑动窗口大小5)去噪后的CLI图像; 中值滤波算法和FLICMTV算法在红色小圆圈处以及全图的(e) RMSE和(f) SSIM; (g)图6(b)~(d)中ROI处的平均像素强度
Fig. 6. Results of in vivo experiment. (a) White-light image of mouse, pseudotumor area is outlined in red circle; (b) original CLI image; (c) denoised CLI image with FLICMTV algorithm; (d) denoised CLI image with median filter algorithm with sliding window size of 5; (e) RMSE and (f) SSIM (red circle and all picture) for median filter and FLICMTV algorithms; (g) mean pixel intensity of ROI in fig. 6 (b), (c), and (d), respectively
表 1FLICMTV去噪算法
Table1. FLICMTV denosing algorithm
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贺小伟, 孙怡, 卫潇, 卢笛, 曹欣, 侯榆青. 基于空间信息改进聚类的切伦科夫荧光图像去噪算法[J]. 光学学报, 2018, 38(10): 1017001. Xiaowei He, Yi Sun, Xiao Wei, Di Lu, Xin Cao, Yuqing Hou. Denoising Algorithm of Cerenkov Luminescence Images Based on Spatial Information Improved Clustering[J]. Acta Optica Sinica, 2018, 38(10): 1017001.
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