Yue Kai, Zhang Xinxin, Zuo Yi Y
Department of Thermal Engineering, University of Science and Technology Beijing, Beijing, China.
Cell Biochem Biophys. 2008;50(1):41-51. doi: 10.1007/s12013-007-0038-1.
An easy-to-use noninvasive method was developed to simultaneously measure the thermophysical parameters and blood perfusion in cylindrically shaped living tissues. This method is based on a two-dimensional mathematical model which requires temperature measurements at only three separate points along the axial direction on the cylinder surface. A sensitivity analysis has shown that the key thermophysical parameters, such as the thermal conductivity, volumetric heat capacity, and blood perfusion can be estimated simultaneously with high accuracy. Genetic algorithm (GA) selection, crossover, and mutation operators were developed to solve this multi-parameter optimization problem. This three-point method was validated by measuring the properties of a dynamic tissue-equivalent phantom with known thermal parameters. The method has also been applied to measure the thermophysical parameters and blood perfusion in human forearms with measured results agreeing well with the literature values.
开发了一种易于使用的非侵入性方法,用于同时测量圆柱形活体组织中的热物理参数和血液灌注。该方法基于二维数学模型,该模型仅需要在圆柱体表面沿轴向的三个不同点进行温度测量。灵敏度分析表明,诸如热导率、体积热容和血液灌注等关键热物理参数可以同时高精度地估计。开发了遗传算法(GA)选择、交叉和变异算子来解决这个多参数优化问题。通过测量具有已知热参数的动态组织等效体模的特性,验证了这种三点法。该方法还被应用于测量人体前臂的热物理参数和血液灌注,测量结果与文献值吻合良好。