中国激光, 2020, 47 (9): 0907002, 网络出版: 2020-09-16
基于自适应扩展卡尔曼滤波的吲哚菁绿药代动力学实验研究 下载: 810次
Experimental Study of Indocyanine Green Pharmacokinetics Based on Adaptive Extended Kalman Filter
医用光学 自适应扩展卡尔曼滤波 药代动力学 扩散荧光层析成像 吲哚菁绿 渗透率参数 medical optics adaptive extended Kalman filter pharmacokinetics diffuse fluorescence tomography indocyanine green permeability parameter
摘要
基于动态扩散荧光层析成像(DFT)的荧光剂药代动力学参数(渗透率等),可为判断不同生物组织体的生理过程和病理信息提供参考。自适应扩展卡尔曼滤波(AEKF)作为一种动态分析方法,具有精确的建模和多参数在线估计等优势。基于DFT系统对吲哚菁绿(ICG)在健康小鼠肝脏和荷瘤小鼠皮下移植瘤组织中的代谢过程进行了测量,然后采用DFT重建技术获得了ICG的时间序列荧光层析图像,在此基础上结合二室模型和AEKF方法得到了ICG的时间序列渗透率参数层析图像。对比两种实验结果可知,肿瘤中ICG的渗透率参数Kpe、Kep均较健康小鼠肝脏中的小。时间序列荧光层析图像显示,AEKF方法能有效获得复杂生物体实时、稳定的ICG药代动力学参数。
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.
张雁琦, 张丽敏, 赵志超, 马文娟, 高峰. 基于自适应扩展卡尔曼滤波的吲哚菁绿药代动力学实验研究[J]. 中国激光, 2020, 47(9): 0907002. Zhang Yanqi, Zhang Limin, Zhao Zhichao, Ma Wenjuan, Gao Feng. Experimental Study of Indocyanine Green Pharmacokinetics Based on Adaptive Extended Kalman Filter[J]. Chinese Journal of Lasers, 2020, 47(9): 0907002.