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The application of the generalized vector sample pattern matching method for EIT image reconstruction.

Guoya Dong·Richard H Bayford·Shangkai Gao·Yoshifuru Saito·Rebecca Yerworth·David Holder·Weili Yan
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Abstract

This paper presents a new application of a generalized vector sample pattern matching (GVSPM) method for image reconstruction of conductivity changes in electrical impedance tomography. GVSPM is an iterative method for linear inverse problems. The key concept of the GVSPM is that the objective function is defined in terms of an angular component between the inner product of the known vector and solution of a system of equations. Comparisons are presented between images of simulated and experimental data, reconstructed using truncated singular value decomposition and GVSPM. In both cases, a normalized sensitivity matrix is constructed using the finite volume method to solve the forward problem.

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Guoya Dong, Richard H Bayford, Shangkai Gao, Yoshifuru Saito, Rebecca Yerworth, David Holder, Weili Yan. 2003. The application of the generalized vector sample pattern matching method for EIT image reconstruction.. https://doi.org/10.1088/0967-3334%2F24%2F2%2F356

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