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

被引：0

作者：

Mengxing, T. ^{[1
]}

Xiuzhen, D. ^{[1
]}

Mingxin, Q. ^{[1
]}

Feng, F. ^{[1
]}

Xuetao, S. ^{[1
]}

Fusheng, Y. ^{[1
]}

机构：

[1] Biomedical Engineering Department, Fourth Military Medical University, Chang Lexi Road 17, Xian, Shaanxi, China

来源：

Medical and Biological Engineering and Computing | 1998年 / 36卷 / 04期

关键词：

Algorithms - Computer simulation - Electric impedance - Finite element method - Image reconstruction - White noise;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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 matrix F 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.

引用

页码：395 / 398

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