An Image Reconstruction Method for Magnetic Induction Tomography: Improved Genetic Algorithm

摘要：

Magnetic induction tomography (MIT) is a new medical functional imaging technique. This paper proposes a multi-layer model of the biological tissue. And a new reconstruction method of magnetic induction tomography based on the improved genetic algorithm (GA) was introduced. The GA was improved from the following aspects: the generation of the initial population, selection, crossover and mutation operation. The simulation results indicate that the method can reflect local and large-area bleeding in the shallow of biological tissue, and construct a base for the future clinical brain disease monitoring.

关键词： magnetic induction tomography inverse problem improved genetic algorithm(GA)

作者: Wei He Haijun Luo Zheng Xu Qian Li

作者单位: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, The Electrical Engineering College, Chongqing University, Chongqing 400044,Peoples Republic of 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: 212-219

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）