报告题目： Mathematical modeling and numerical inversion of tumor treating fields
报 告 人：龚荣芳教授 南京航空航天大学
报告时间：2023年5月 4日 10:00-11:00
报告地点：腾讯会议 ID：930-526-802
会议链接：https://meeting.tencent.com/dm/lwog2N4NCMwo
校内联系人：刁怀安 diao @ jlu.edu.cn
报告摘要：In this talk, we focus on the mathematical modeling and numerical inversion of tumor treating fields (TTF) which is a relatively new tumor treatment method. Unlike many therapies such as chemotherapy and surgical treatment, TTF is non-invasive and has no side effects except slight skin irritation. As the first step of TTF, it is necessary to understand the distribution of electric field. Based on the classical Maxwell equation in electromagnetics, the mathematical model of the potential distribution in the body is established by adding electrodes on the surface to form the potential difference, and the correctness of the model is verified by COMSOL simulation. The effect of TTF mainly depends on the parameters such as the dielectric conductivity and position of the electrodes etc. With fixed the size of electrodes and voltage on the boundary of brain, the field strength required for treatment can be achieved in the body by optimizing the position of the electrodes. The particle swarm optimization method is applied to solve the reduced optimal problem for realizing the optimization of electrodes’ position. A series of numerical experiments are given for the validation of efficiency of the proposed methods.
报告人简介：龚荣芳，南京航空航天大学304am永利集团，教授、博士生导师，研究方向主要包括光学成像、Cauchy问题等反问题的建模、正则化理论与方法，已在Numer. Math.、Inverse Probl.、CiCP、JCM等发表学术论文近30篇。主持完成国家自然科学基金青年项目、江苏省自然科学基金等多项。当前主持国家自然科学基金面上项目1项，参与国家面上项目和科技部“LJ”专项各1项。
