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

Guoya Dong et al 2003 Physiol. Meas. 24 449-466   doi: 10.1088/0967-3334/24/2/356  Help

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Guoya Dong1,2, Richard H Bayford3,4, Shangkai Gao1, Yoshifuru Saito5, Rebecca Yerworth3,4, David Holder4 and Weili Yan2
1 Institute of Biomedical Engineering, Tsinghua University, Beijing, 100084, People's Republic of China
2 Department of Electrical Engineering, Hebei University of Technology, Tianjin, 300130, People's Republic of China
3 Middlesex University, Archway Campus, Furnival Building, Highgate Hill, London N19 3UA, UK
4 Department of Clinical Neurophysiology, Middlesex Hospital, Cleveland Street, London WIT 8AA, UK
5 Graduate School of Engineering, Hosei University, 3-7-2 Kajino, Koganei, Tokyo 184-8584, Japan
E-mail: dgy99@mails.tsinghua.edu.cn

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.

Keywords: electrical impedance tomography (EIT), generalized vector sample pattern matching (GVSPM) method, finite volume method (FVM)

Print publication: Issue 2 (May 2003)
Received 28 September 2002, in final form 7 March 2003
Published 30 April 2003

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