Laser & Optoelectronics Progress, Volume. 58, Issue 2, 0211002(2021)
Fluorescence Diffuse Optical Tomography Reconstruction Based on Group Sparse Regularization
Figures & Tables(3)
Fig. 1. FDOT image reconstruction results. (a) Simulated images; (b) noise images; (c) TV algorithm; (d) ART-SB algorithm; (e) SART algorithm; (f) GSR-SART algorithm
Fig. 2. Performance of proposed algorithm under search window size. (a) PSNR; (b) RMSE
Table 1. PSNR and RMSE of different algorithms at different noise levels
View tableTable 1. PSNR and RMSE of different algorithms at different noise levels
Noise level TV ART-SB SART GSR-SART PSNR /dB RMSE PSNR /dB RMSE PSNR /dB RMSE PSNR /dB RMSE 1% 19.97 0.10039 20.79 0.09134 21.76 0.08162 23.08 0.07026 3% 19.88 0.10139 20.77 0.09147 21.37 0.08542 23.04 0.07068 5% 19.84 0.10187 20.63 0.09298 21.05 0.08865 22.98 0.07101
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Xiaolin Li, Hongsun Fu, Bolin Song. Fluorescence Diffuse Optical Tomography Reconstruction Based on Group Sparse Regularization[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0211002
Paper Information
Category: Imaging Systems
Received: Jun. 12, 2020
Accepted: Jul. 7, 2020
Published Online: Jan. 8, 2021
The Author Email: Fu Hongsun (fuhongsun@dlmu.edu.cn)
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