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首页> 外文期刊>International journal of numerical methods for heat & fluid flow >Identification of the cancer ablation parameters during RF hyperthermia using gradient, evolutionary and hybrid algorithms
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Identification of the cancer ablation parameters during RF hyperthermia using gradient, evolutionary and hybrid algorithms

机译：使用梯度，进化和混合算法识别RF热疗期间的癌症消融参数

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Purpose - The purpose of this study is to show that the methods of the numerical simulation can be a very effective tool for a proper choice of control parameters of artificial hyperthermia. An electromagnetic field induced by two external electrodes and a temperature field resulting from electrodes action in a 3D domain of biological tissue is considered An important problem is the appropriate directing of heat in the region of tumor, so as to avoid damaging healthy cells surrounding the tumor. Recently, to concentrate the heat on the tumor, magnetic nanoparticles, which are introduced into the tumor, were used. The nanoparticles should be made of material that ensures appropriate magnetic properties and has a high biocompatibility with the biological tissue. External electric field causes the heat generation in the tissue domain. Design/methodology/approach - The distribution of electric potential in the domain considered is described by the Laplace system of equations, while the temperature field is described by the Pennes' system of equations. These problems are coupled by source function being the additional component in the Pennes' equation and resulting from the electric field action. The boundary element method is applied to solve the coupled problem connected with the heating of biological tissues. Findings - The aim of investigations is to determine an electric potential of external electrodes and the number of nanoparticles introduced to a tumor region to obtain the artificial hyperthermia state. The tests performed showed that the proposed tool to solve the inverse problem provides correct results. Research limitations/implications - In the paper the steady state bioheat transfer problem is considered, so the thermal damage is a function of the temperature only. Therefore, the solution can be considered as the maximum ablation zone of cancer. Additionally, the choice of appropriate parameters will be affected on the position and shape of the tumor and the electrodes. Originality/value - In the paper the inverse problem has been solved using the evolutionary algorithm, gradient method and hybrid algorithm which is a combination of the two previous.
机译：目的-这项研究的目的是表明，数值模拟方法可以成为正确选择人工体温过高控制参数的有效工具。认为由两个外部电极感应的电磁场和由电极作用在生物组织的3D域中产生的温度场是一个重要的问题，是在肿瘤区域中适当地引导热量，以避免损坏肿瘤周围的健康细胞。 。最近，为了将热量集中在肿瘤上，使用了被引入肿瘤中的磁性纳米颗粒。纳米颗粒应由确保适当的磁性并与生物组织具有高生物相容性的材料制成。外部电场在组织区域内产生热量。设计/方法/方法-所考虑域中的电势分布由拉普拉斯方程组描述，而温度场由潘尼斯方程组描述。这些问题与源函数耦合在一起，源函数是Pennes方程中的附加组件，由电场作用引起。应用边界元方法解决与生物组织加热有关的耦合问题。发现-研究的目的是确定外部电极的电势以及引入到肿瘤区域以获得人工体温过高状态的纳米颗粒的数量。进行的测试表明，所提出的解决逆问题的工具提供了正确的结果。研究局限性/意义-在本文中考虑了稳态生物传热问题，因此热损伤仅是温度的函数。因此，该溶液可以被认为是癌症的最大消融区。另外，适当参数的选择将影响肿瘤和电极的位置和形状。独创性/价值-在本文中，反问题是使用进化算法，梯度方法和混合算法解决的，这是前两种方法的结合。

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