• DocumentCode
    2409589
  • Title

    Electromagnetic tomography based on finite element method and improved genetic algorithm

  • Author

    Li, Hua ; Pan, Tingting ; Zhang, Yinxue ; Sun, Jing ; Liu, Zhiqiang

  • Author_Institution
    Coll. of Inf. Sci. & Eng., NEU, Shenyang, China
  • fYear
    2009
  • fDate
    15-16 May 2009
  • Firstpage
    430
  • Lastpage
    433
  • Abstract
    Mathematical model of electromagnetic tomography based on Maxwell equations is established. Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation results show that it is effective and feasible to adopt finite element method and improved genetic algorithm in electromagnetic tomography.
  • Keywords
    Maxwell equations; electromagnetic fields; finite element analysis; genetic algorithms; image reconstruction; inverse problems; tomography; Maxwell equation; electromagnetic tomography; finite element method; genetic algorithm; image reconstruction; inverse problem; Coils; Electromagnetic induction; Finite element methods; Genetic algorithms; Image reconstruction; Inverse problems; Magnetic field measurement; Maxwell equations; Mechatronics; Tomography; electromagnetic tomography(EMT); finite element method; genetic algorithm(GA); image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3817-4
  • Type

    conf

  • DOI
    10.1109/ICIMA.2009.5156655
  • Filename
    5156655