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Electromagnetic Model and Image Reconstruction Algorithms Based on EIT System
作者姓名:曹章  王化祥
作者单位:School of Electrical Engineering and Automation Tianjin University,School of Electrical Engineering and Automation Tianjin University,Tianjin 300072 China Tianjin 300072 China
基金项目:Supported by National Natural Science Foundation of China (No.60532020,60301008,60472077,50337020),,the High Tech-nique Research and Development Program of China (No.2001AA413210).
摘    要:Electrical impedance tomography (EIT) tech-niques have been investigated extensively during thepast decades, as a kind of visible multiphase flowmeasurement technique in industry and medical in-strument1—5]. EIT has several advantages over othertomographic techniques, e. g. low cost, rapid re-sponse, portability, non-invasion, and robustness. Inindustrial field, EIT has found many applications,such as measurement of two-phase ( e. g. gas/liq-uid6]and gas/solid7,8]) flows in pipelines or…

关 键 词:electrical  impedance  tomography  electromagnetic  model  conformal  transformation  reconstruction  algorithm
收稿时间:2006-09-06

Electromagnetic Model and Image Reconstruction Algorithms Based on EIT System
CAO Zhang,WANG Huaxiang.Electromagnetic Model and Image Reconstruction Algorithms Based on EIT System[J].Transactions of Tianjin University,2006,12(6):420-424.
Authors:CAO Zhang  WANG Huaxiang
Abstract:An intuitive 2D model of circular electrical impedance tomography (EIT) sensor with small size electrodes is established based on the theory of analytic functions. The validation of the model is proved using the result from the solution of Laplace equation. Suggestions on to electrode optimization and explanation to the ill-condition property of the sensitivity matrix are provided based on the model, which takes electrode distance into account and can be generalized to the sensor with any simple connected region through a conformal transformation. Image reconstruction algorithms based on the model are implemented to show feasibility of the model using experimental data collected from the EIT system developed in Tianjin University. In the simulation with a human chest-like configuration, electrical conductivity distributions are reconstructed using equi-potential back-projection (EBP) and Tikhonov regularization (TR) based on a conformal transformation of the model. The algorithms based on the model are suitable for online image reconstruction and the reconstructed results are good both in size and position.
Keywords:electrical impedance tomography  electromagnetic model  conformal transformation  reconstruction algorithm
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