The application of the generalized vector sample pattern matching method for EIT image reconstruction
Dong, Guoya and Bayford, Richard and Gao, Shangkai and Saito, Yoshifuru and Yerworth, Rebecca J. and Holder, David S. and Yan, Weili (2003) The application of the generalized vector sample pattern matching method for EIT image reconstruction. Physiological Measurement, 24 (2). pp. 449-466. ISSN 0967-3334
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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.
|Research Areas:||Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences|
Middlesex University Schools and Centres > School of Science and Technology > Natural Sciences > Biophysics and Bioengineering group
|Citations on ISI Web of Science:||5|
|Deposited On:||26 May 2009 09:05|
|Last Modified:||08 Oct 2014 10:52|
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