重庆大学学报2011，Vol.34Issue(1)：82-87,6.
基于粒子群优化算法的电阻抗图像重建
Image reconstruction of electrical impedance tomography based on particle swarm optimization algorithm
摘要
Abstract
Electrical impedance tomography (EIT) has many advantages in practical application,but image reconstruction of EIT is a highly ill-posed, non-linear inverse problem. Newton-Raphson algorithms are widely used in EIT, which have to calculate the Jacobian matrix and use regularization techniques. So this kind of algorithms is complex and less stable. To address the problem, a new static image reconstruction method for EIT is proposed based on particle swarm optimization (PSO) algorithm. PSO is a populationbased, adaptive search optimization technique. It is simple in concept, few in parameters, quick in convergence and easy in implementation. The model of EIT forward problem is given and some appropriate improvements in PSO are made to accommodate the solution of EIT. Compared with Newton-Raphson (MNR) algorithms, PSO only uses an iterative processing to get the best solution instead of using a complicated Jacobian matrix. The experimental results indicate that using PSO-based algorithm to solve image reconstruction of EIT, the position of mutation region is more accurate and graphics space resolution is much higher.关键词
电阻抗成像/粒子群优化算法/图像重建Key words
electrical impedance tomography (EIT)/ PSO algorithm/ image reconstruction分类
信息技术与安全科学引用本文复制引用
陈民铀,杨艳利,何为,张聪誉,李冰..基于粒子群优化算法的电阻抗图像重建[J].重庆大学学报,2011,34(1):82-87,6.基金项目
科技部中俄国际合作项目(ISCP 2007DFR30080) （ISCP 2007DFR30080）
国家"111"计划项目(B08036) （B08036）
国家自然科学基金面上项目(50877082) （50877082）
重庆大学"211工程"三期创新人才培养计划建设项目(S-09111) （S-09111）
