A Reconstruction Method for Electrical Impedance Tomography Using Particle Swarm Optimization

摘要：

The inverse problem of Electrical Impedance Tomography (EIT), especially for open EIT which involves less measurement, is a non-linear ill-posed problem. In this paper, a novel method based on Particle Swarm Optimization (PSO) is proposed to solve the open EIT inverse problem. This method combines a modified Newton-Raphson algorithm, a conductivity-based clustering algorithm, with an adaptive PSO algorithm to enhance optimal search capability and improve the quality of the reconstructed image. The results of numerical simulations show that the proposed method has a faster convergence to optimal solution and higher spatial resolution on a reconstructed image than a Newton-Raphson type algorithm.

关键词： Open Electrical Impedance Tomography Reconstruction Algorithm Clustering Particle Swarm Optimization

作者: Min-you Chen Gang Hu Wei He Yan-li Yang Jin-qian Zhai

作者单位: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, China

会议类型: 国际会议

会议名称: International Conference on Life System Modeling and Simulation,and International Conference on Intelligent Computing for Sustainable Energy and Environment(2010生命系统建模与仿真国际会议暨m2010可持续能源与环境智能计算国际会议)

会议地点: 无锡

会议语种:英文

页码: 342-350

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）