Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Image Reconstruction Using Genetic Algorithm in Electrical Impedance Tomograghy

유전 알고리즘을 이용한 전기 임피던스 단층촬영법의 영상복원

  • 김호찬 (제주대학교 전기전자공학부) ;
  • 문동춘 ((주)뉴아크) ;
  • 김민찬 (제주대학교 청정화학공학과) ;
  • 김신 (제주대학교 기계에너지생산공학부) ;
  • 이윤준 (제주대학교 기계에너지생산공학부)
  • Published : 2003.01.01
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Abstract

In electrical impedance tomography(EIT), various image reconstruction algorithms have been used in order to compute the internal resistivity distribution of the unknown object with its electric potential data at the boundary. Mathematically the EIT image reconstruction algorithm is a nonlinear ill-posed inverse problem. This paper presents a new combined method based on genetic algorithm(GA) and modified Newton-Raphson(mNR) algorithm via two-step approach for the solution of the static EIT inverse problem. In the first step, each mesh is classified into three mesh groups: target, background, and temporary groups. The mNR algorithm can be used to determine the region of group. In the second step, the values of these resistivities are determined using genetic algorithm. Computer simulations with the 32 channels synthetic data show that the spatial resolution of reconstructed images by the proposed scheme is improved compared to that of the mNR algorithm at the expense of increased computational burden.

Keywords

References

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