Acta Photonica Sinica, Volume. 50, Issue 12, 1217001(2021)
Optimization of Fluorescence Pharmacokinetic Tomography Based on Kalman Filtering
Fig. 2. Schematic of dynamic fluorescence diffuse tomography system
Fig. 3. The simulated reconstruction results of first-order AEKF, second-order AEKF and UKF when the contrast is 2, 3 and 4, and their X-profiles
Fig. 4. Comparison of CNR and QR of the simulation results obtained by first-order AEKF, second-order AEKF and UKF
Fig. 5. Experimental images of mouse liver positioning and scanning, and Micro-CT tomograms of the calibrated parts
Fig. 6. The fusion of the reconstructed images of the time-series fluorescence yield of the mouse liver and the Micro-CT images with the time interval of 4 minutes
Fig. 7. Comparison of the in vivo experimental results of first-order AEKF, second-order AEKF, and UKF
Fig. 8. CNR comparison of Kep and Kpe obtained by first-order AEKF, second-order EKF and UKF in mouse experiment
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Nan CHENG, Limin ZHANG, Zhichao ZHAO, Yingxue PAN, Xin WANG, Zhongxing ZHOU, Feng GAO. Optimization of Fluorescence Pharmacokinetic Tomography Based on Kalman Filtering[J]. Acta Photonica Sinica, 2021, 50(12): 1217001
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Received: May. 13, 2021
Accepted: Aug. 16, 2021
Published Online: Jan. 25, 2022
The Author Email: ZHANG Limin (zhanglm@tju.edu.cn)