KIEE International Transactions on Electrophysics and Applications

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

Genetic Algorithm Approach to Image Reconstruction in Electrical Impedance Tomography

  • Kim, Ho-Chan (Dept. of Electrical Engineering, Cheju National University) ;
  • Boo, Chang-Jin (Dept. of Electrical Engineering, Cheju National University) ;
  • Lee, Yoon-Joon (Dept. of Nuclear and Energy Engineering, Cheju National University) ;
  • Kang, Chang-Ik (Dept. of Marine Instrumentation Engineering, Cheju National University)
  • 발행 : 2004.06.01
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초록

In electrical impedance tomography (EIT), the internal resistivity distribution of the unknown object is computed using the boundary voltage data induced by different current patterns using various reconstruction algorithms. This paper presents a new image reconstruction algorithm based on the genetic algorithm (GA) via a two-step approach for the solution of the EIT inverse problem, in particular for the reconstruction of "static" images. The computer simulation for the 32 channels synthetic data shows that the spatial resolution of reconstructed images in the proposed scheme is improved compared to that of the modified Newton-Raphson algorithm at the expense of an increased computational burden.rden.

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참고문헌

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