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Electrical impedance tomography reconstruction algorithm based on general inversion theory and finite element method

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Abstract

A strict EIT reconstruction algorithm, the general inversion algorithm (GIA) is presented. To improve the noise performance, the algorithm is modified by attenuating the condition number of the forward matrixF and implemented using an improved FEM scheme, to obtain the 2D image of impedance change (dynamic image). This modified general inversion algorithm (MGIA) can be used on a larger dimension FEM model (248 elements) and is more practical than the GIA. When implementing this algorithm in computer simulation and in a physical phantom, it is found that the MGIA has a smaller reconstruction error than the currently used algorithms (equipotential-back-projection algorithm and filtered spectral expansion algorithm). With 0.1% white noise in the data, the algorithm can still reconstruct images of a complicated model. Further improvements are also discussed.

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Authors and Affiliations

  1. Biomedical Engineering Department, Fourth Military Medical University, Chang Lexi Road 17, Xian Shaanxi, People's Republic of China

    T. Mengxing, D. Xiuzhen, Q. Mingxin, F. Feng, S. Xuetao & Y. Fusheng

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  1. T. Mengxing
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  2. D. Xiuzhen
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  3. Q. Mingxin
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  4. F. Feng
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  5. S. Xuetao
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  6. Y. Fusheng
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Correspondence to T. Mengxing.

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Mengxing, T., Xiuzhen, D., Mingxin, Q. et al. Electrical impedance tomography reconstruction algorithm based on general inversion theory and finite element method. Med. Biol. Eng. Comput. 36, 395–398 (1998). https://doi.org/10.1007/BF02523205

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  • DOI: https://doi.org/10.1007/BF02523205

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