Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Online Image Reconstruction Using Fast Iterative Gauss-Newton Method in Electrical Impedance Tomography

전기 임피던스 단층촬영법에서 빠른 반복적 가우스-뉴턴 방법을 이용한 온라인 영상 복원

  • Kim, Chang Il (Faculty of Lift Engineering, Korea Lift College) ;
  • Kim, Bong Seok (Faculty of Lift Engineering, Korea Lift College) ;
  • Kim, Kyung Youn (Department of Electronic Engineering, Jeju National University)
  • 김창일 (한국승강기대학교 승강기공학부) ;
  • 김봉석 (한국승강기대학교 승강기공학부) ;
  • 김경연 (제주대학교 전자공학과)
  • Received : 2016.11.16
  • Accepted : 2017.03.09
  • Published : 2017.04.25
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Abstract

Electrical impedance tomography is a relatively new nondestructive imaging modality in which the internal conductivity distribution is reconstructed based on the injected currents and measured voltages through electrodes placed on the surface of a domain. In this paper, a fast iterative Gauss-Newton method is proposed to increase the spatial resolution as well as reduce the inverse computational time in the inverse problem, which could be applied to online binary mixture flow applications. To evaluate the reconstruction performance of the proposed method, numerical experiments have been carried out and the results are analyzed.

전기 임피던스 단층촬영법은 전극을 통해 주입된 전류와 측정된 전압을 기반으로, 내부 도전율 분포를 복원하는 기술로, 비교적 새로운 비파괴 영상 복원 기법이다. 본 논문에서는 이원 혼합물 유동 응용분야에서 온라인으로 적용시킬 수 있도록, 역문제의 계산시간을 줄일 뿐만 아니라 공간 해상도도 함께 향상시킬 수 있는 역문제 해법인 빠른 반복적 가우스-뉴턴 방법을 제안하였다. 제안한 방법의 영상 복원성능을 평가하기 위해 모의실험을 수행하고 그 결과를 비교분석하였다.

Keywords

References

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