Yang Kun, Liu Wei
Department of Power Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.
Med Eng Phys. 2004 Apr;26(3):215-23. doi: 10.1016/j.medengphy.2003.10.009.
The blood perfusion of biological tissue is a basic parameter of physiology and medical engineering. A novel average temperature model (ATM) is presented in this paper to measure the blood perfusion of tissue based on the thermal pulse-decay method. Differing from the existing point source model (PSM) and spherical source model (SSM), the probe bead average temperature analytical solution is derived and used to estimate the blood perfusion. The blood perfusion prediction errors caused by the approximate assumptions used in each model are studied using the numerical experiment method. Contributions of the tissue parameters, probe thermistor bead parameters, and measurement parameters, such as tissue thermal conductivity, tissue thermal diffusivity, blood perfusion rate, bead thermal conductivity, bead radius, measurement time, and thermal pulse length are discussed. The predicting accuracy of the ATM model is compared with the PSM model and SSM model. The results show that, for all the cases tested, the ATM model is better than the other two.
生物组织的血液灌注是生理学和医学工程学的一个基本参数。本文提出了一种基于热脉冲衰减法测量组织血液灌注的新型平均温度模型(ATM)。与现有的点源模型(PSM)和球源模型(SSM)不同,推导了探针珠平均温度解析解并用于估计血液灌注。使用数值实验方法研究了每个模型中近似假设所导致的血液灌注预测误差。讨论了组织参数、探针热敏电阻珠参数以及测量参数(如组织热导率、组织热扩散率、血液灌注率、珠热导率、珠半径、测量时间和热脉冲长度)的贡献。将ATM模型的预测精度与PSM模型和SSM模型进行了比较。结果表明,在所有测试情况下,ATM模型均优于其他两个模型。