30 August 2002 New image reconstruction method in dynamic electrical impedance tomography
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Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002); doi: 10.1117/12.481543
Event: Photonics Asia, 2002, Shanghai, China
Abstract
Image reconstruction in electrical impedance tomography (EIT) is a non-linear inverse problem. The linear model is always used in most of the reconstruction algorithm in dynamic EIT, which causes large errors of image reconstruction. In this paper, we proposed a new image reconstruction method in dynamic EIT. In the method the artificial neural network based on the error back propagation algorithm (BP ANN) is used to express the non-linear relation between the impedance change position inside the measured object and the voltage change value measured on the surface of the object. Thus, the location ofthe impedance change can be decided by the measured voltage change on the surface, and then the impedance change image will be reconstructed with linear approximated method. The reconstructed error will be decreased largely, because the impedance change position can be detected precisely by our proposed method. The experimental results indicate that the precision of the reconstructed image with our method is greatly higher than that with the back projection method.
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Weidong Hou, Yu Long Mo, "New image reconstruction method in dynamic electrical impedance tomography", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481543; https://doi.org/10.1117/12.481543
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KEYWORDS
Image restoration

Neural networks

Chemical elements

Electrodes

Tomography

Finite element methods

Reconstruction algorithms

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