• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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• pp.513-516
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• 2002

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.

• 전기전자학회논문지
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• 제4권2호
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• pp.249-256
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• 2000

전기 임피던스 단층촬영에서는, 각기 다른 주입 전류패턴에 의해 유기된 경계면의 전압 값을 이용하여 다양한 복원 알고리즘에 의해 물체의 내부 저항률(전도율) 분포를 추정한다. 본 논문에서는, 부가적인 사전 정보를 soft 제약조건으로 비용함수에 추가하고, 비용함수의 가중행렬을 지수적으로 가중된 최소자승법에 근거하여 선택하는 수정된 조정 Newton-Raphson(mNR) 법을 제안한다. 32채널에 대한 컴퓨터 시뮬레이션 결과, 제안된 방법은 기존의 조정 mNR 법에 비해 계산부담은 약간 증가하지만 복원성능이 개선됨을 보인다.

• 대한의용생체공학회:의공학회지
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• 제10권2호
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• pp.102-105
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• 1989

In electrical impedance tomography(EIT), we use boundary current and voltage measurements toprovide the information about the cross-sectional distribution of electrical impedance or resistivity. One of the major problems in EIT has been the inaccessibility of internal voltage or current data in finding the internal impedance values. We propose a new image reconstruction method using internal current density data measured by NMR. We obtained a two-dimensional current density distribution within a phantom by processing the real and imaginary MR images from a 4.77 NMR machine. We implemented a resistivity mage reconstruction algorithm using the finite element method and sensitivity matrix. We presented computer simulation results of the mage reconstruction algorithm and furture direction of the research.

• 한국전산구조공학회논문집
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• 제32권4호
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• pp.249-256
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• 2019

이 논문은 재료의 전기 전도도 분포를 재구성하는 전기임피던스 단층이미지 기법(electrical impedance tomography; EIT)을 제시한다. 이 문제는 구조물 표면의 전극에서 측정된 전위와 계산된 전위의 차를 최소화하여 전기 전도도의 공간적 분포를 재구성하는 최적화 문제로 정의된다. 전류 입력 시 전위를 구하는 정해석 문제의 수학적 모델로서 완전전극모델(complete electrode model; CEM)을 사용하였다. 완전전극모델은 전기 포텐셜에 대한 라플라스 방정식과 전류 입력에 따른 경계조건들로 구성되는 경계값 문제이다. 완전전극모델 해의 정확성을 검증하기 위하여 유한요소법을 이용해 구한 원형 구조물의 전위해와 Technology Computer Aided Design(TCAD) 소프트웨어를 사용해 얻은 결과를 비교하였다. 완전전극모델의 지배방정식과 경계조건을 구속조건으로 하는 최적화 문제를 라그랑주 승수법(lagrange multiplier method)을 이용해 비구속 최적화 문제로 전환하고 라그랑지안의 1차 최적화 조건으로부터 전극에서의 전위 차를 최소화하는 최적의 전기전도도 분포를 도출하였다. 원형 균일영역의 전기 전도도 분포를 재구성하는 역해석 예제를 통해 완전전극모델 기반 EIT 프레임워크의 적용성을 검토하였다.

• 조명전기설비학회논문지
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• 제18권2호
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• pp.23-28
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• 2004

전기 임피던스 단층촬영법(electrical impedance tomography, EIT)은 미지의 내부 저항률 분포를 갖는 물체 주위에 특수하게 제작된 전극을 여러 개 배치하고 적절하게 설계된 전류를 주입하여 이에 따른 인가전압을 물체 경계에서 측정한 후 이를 근거로 EIT의 영상복원 알고리즘에서 물체 내부의 미지의 저항률 분포를 재구성하는 기술이다. 전기 임피던스 단층촬영법의 영상복원 과정은 비선형 방정식으로 기술되며, 그 해석적인 해를 구하기가 매우 어려우므로 수치적인 방법으로 근사해를 구한다. 본 논문에서는 EIT 영상복원 방법으로 동시 인자변환 확률적 근사화(simultaneous perturbation stochastic approximation, SPSA) 방법을 제안한다. SPSA 방법을 이용한 EIT 영상복원의 성능을 컴퓨터시뮬레이션을 통해 살펴보고 기존의 mNR 방법에 의해 얻어진 결과와 비교 분석하도록 한다.

• International Journal of Control, Automation, and Systems
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• 제3권2호
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• pp.211-216
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• 2005

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 simulated annealing technique as a statistical reconstruction algorithm for the solution of the static EIT inverse problem. Computer simulations with 32 channels synthetic data show that the spatial resolution of reconstructed images by the proposed scheme is improved as compared to that of the mNR algorithm at the expense of increased computational burden.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.396-401
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• 2003

Electrical impedance tomography(EIT) is a relatively new imaging modality in which the internal impedivity distribution is reconstructed based on the known sets of injected currents and measured voltages on the surface of the object. In this paper, an effective dynamic EIT imaging scheme is presented based on the projection filtering to estimate the unknown resistivity distribution. In particular, pre-integration (pre-grouping) technique is employed to stabilize the inverse algorithm. We carried out computer simulations with synthetic data to illustrate the reconstruction performance of the proposed algorithm.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.159-164
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• 2004

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 simultaneous perturbation method as an image reconstruction algorithm for the solution of the static EIT inverse problem. Computer simulations with the 32 channels synthetic data show that the spatial resolution of reconstructed images by the proposed scheme is improved as compared to that of the mNR algorithm at the expense of increased computational burden.

• International Journal of Control, Automation, and Systems
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• 제6권4호
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• pp.613-619
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• 2008

A method to produce a desired current pattern in a multiple-source EIT system using voltage sources is presented. Application of current patterns to a body is known to be superior to the application of voltage patterns in terms of high spatial frequency noise suppression, resulting in high accuracy in conductivity and permittivity images. Since current sources are difficult and expensive to build, the use of voltage sources to apply the current pattern is desirable. An iterative algorithm presented in this paper generates the necessary voltage pattern that will produce the desired current pattern. The convergence of the algorithm is shown under the condition that the estimation error of the linear mapping matrix from voltage to current is small. Simulation results are presented to illustrate the convergence of the output current.

• International Journal of Contents
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• 제1권1호
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• pp.1-5
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• 2005

This paper presents the development and application of electrical resistance imaging techniques for the visualization of two-phase flow fields. Two algorithms, the so-called the mesh grouping and the boundary estimation, are described for potential applications of electrical resistance tomography (ERT) and results from extensive numerical simulations are also presented. In the electrical resistance imaging for two-phase flows, numerical meshes fairly belonging to each phase can be grouped to improve the reconstruction performance. In many cases, the detection of phase boundary is a key subject and a mathematical model to estimate phase boundary can be formulated in a different manner. Our results indicated that the mesh grouping algorithm is effective to enhance computational performance and image quality, and boundary estimation algorithm to determine the phase boundary directly.