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  • Received: Mar. 16, 2020

    Accepted: May. 13, 2020

    Posted: Sep. 1, 2020

    Published Online: Sep. 16, 2020

    The Author Email: Zhang Limin (zhanglm@tju.edu.cn)

    DOI: 10.3788/CJL202047.0907002

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    Yanqi Zhang, Limin Zhang, Zhichao Zhao, Wenjuan Ma, Feng Gao. Experimental Study of Indocyanine Green Pharmacokinetics Based on Adaptive Extended Kalman Filter[J]. Chinese Journal of Lasers, 2020, 47(9): 0907002

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Chinese Journal of Lasers, Vol. 47, Issue 9, 0907002 (2020)

Experimental Study of Indocyanine Green Pharmacokinetics Based on Adaptive Extended Kalman Filter

Zhang Yanqi1, Zhang Limin1,2,*, Zhao Zhichao1, Ma Wenjuan3, and Gao Feng1,2

Author Affiliations

  • 1School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
  • 2Tianjin Key Laboratory of Biomedical Detecting Techniques and Instruments, Tianjin 300072, China
  • 3Cancer Institute and Hospital, Tianjin Medical University, Tianjin 300060, China

Abstract

The fluorescence pharmacokinetic parameters (permeability, etc.) based on dynamic diffuse fluorescence tomography (DFT) can provide reference for studying the dynamic physiological process and pathological information of different biological tissues. The adaptive extended Kalman filter (AEKF) (a method for dynamic analysis) has many advantages, such as precise modeling and multi-parameter online estimation. In this work, the metabolic process of indocyanine green (ICG) in healthy mice liver and tumor-burdened mice subcutaneous transplanted tumor tissue was measured using the dynamic DFT system. Then, we obtained the time-series fluorescence yield images of ICG by DFT method. On this basis, the time-series permeability images of ICG were reconstructed by the AEKF method based on a two-compartment model. The two experimental results verify that the permeability parameters Kpe and Kep of ICG in the tumor are less than that in the liver. Furthermore, the time-series permeability images of ICG also demonstrate that the AEKF method can effectively obtain the real-time and stable ICG pharmacokinetic parameters of complex organisms.

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