Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
권호 표지

Intelligent Optimization Algorithm Approach to Image Reconstruction in Electrical Impedance Tomography

지능 최적 알고리즘을 이용한 전기임피던스 단층촬영법의 영상복원

  • 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 Energy Engineering, Cheju National University)
  • 김호찬 (제주대학교 공과대학 전기공학과) ;
  • 부창친 (제주대학교 공과대학 전기공학과) ;
  • 이윤준 (제주대학교 공과대학 에너지공학과)
  • Published : 2002.11.30
Download PDF
⟨ Previous Next ⟩

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 two intelligent optimization algorithm techniques such as genetic algorithm and simulated annealing for the solution of the static EIT inverse problem. We summarize the simulation results for the three algorithm forms: modified Newton-Raphson, genetic algorithm, and simulated annealing.

Keywords