| 注册
首页|期刊导航|生物医学工程研究|非小细胞肺癌肿瘤治疗电场电极阵列布局优化方法研究

非小细胞肺癌肿瘤治疗电场电极阵列布局优化方法研究

林喆 陈春晓 肖月月 王亮 龚荣芳 沈俊

生物医学工程研究2024,Vol.43Issue(2):136-143,8.
生物医学工程研究2024,Vol.43Issue(2):136-143,8.DOI:10.19529/j.cnki.1672-6278.2024.02.08

非小细胞肺癌肿瘤治疗电场电极阵列布局优化方法研究

Research on the optimization of electrode array layout for tumor treating fields in non-small cell lung cancer treatment

林喆 1陈春晓 1肖月月 1王亮 1龚荣芳 2沈俊2

作者信息

  • 1. 南京航空航天大学 自动化学院,南京 211016
  • 2. 南京航空航天大学 数学学院,南京 211016
  • 折叠

摘要

Abstract

In order to optimize the arrangement of electrode array and increase the intensity of tumor treating fields(TTF),the tumor proliferation was inhibited more effectively.An electrode-perceptive adaptive(EPA)algorithm based on swarm intelligence algo-rithm was proposed to optimize the four sets placement of electrode arrays in the chest area,and enhance the electric field intensity dur-ing treatment.The EPA algorithm dynamically adjusted the layout of electrode arrays through iterative search to maximize the electric field intensity at the tumor site,thus improved the effectiveness of TTF treatment.In the simulation experiments,the optimized elec-trode array layout obtained by EPA algorithm was compared with the conventional layout.The experimental results demonstrate a signifi-cant increase in the average electric field intensity at the tumor site with the EPA optimized layout compared with the conventional lay-out.

关键词

肿瘤治疗电场/电极感知自适应算法/电极阵列/电场强度

Key words

Tumor treating fields/Electrode-perceptive adaptive algorithm/Electrode array/Electric field intensity

分类

医药卫生

引用本文复制引用

林喆,陈春晓,肖月月,王亮,龚荣芳,沈俊..非小细胞肺癌肿瘤治疗电场电极阵列布局优化方法研究[J].生物医学工程研究,2024,43(2):136-143,8.

生物医学工程研究

OACSTPCD

1672-6278

访问量2
|
下载量0
段落导航相关论文