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Identification of tumor region parameters using evolutionary algorithm and multiple reciprocity boundary element method

机译:进化算法和多对易边界元法识别肿瘤区域参数

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摘要

In the paper the inverse problems consisting in the simultaneous estimation of unknown thermophysical and/or geometrical parameters (thermal conductivity, perfusion coefficient, metabolic heat source, location, size) of the tumor region are solved. The additional information concerning the knowledge of local skin surface temperature at the selected set of points is assumed to be known. The problem of thermal processes proceeding in the domain considered is described by the system of the Pennes equations and boundary conditions given on the outer and contact surfaces. On the stage of numerical solution the evolutionary algorithm coupled with the multiple reciprocity boundary element method has been applied.
机译:在本文中,解决了同时估计未知肿瘤区域的热物理和/或几何参数(导热系数,灌注系数,代谢热源,位置,大小)的逆问题。假定已知有关所选点集上的局部皮肤表面温度知识的附加信息。在考虑的范围内进行的热过程问题由Pennes方程组以及在外表面和接触表面给出的边界条件来描述。在数值解的阶段,应用了进化算法与多重互易边界元法相结合。

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