Guoya Dong et al 2003 Physiol. Meas. 24 449 doi:10.1088/0967-3334/24/2/356
Guoya Dong1,2, Richard H Bayford3,4, Shangkai Gao1, Yoshifuru Saito5, Rebecca Yerworth3,4, David Holder4 and Weili Yan2
Show affiliationsThis 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.
Issue 2 (May 2003)
Received 28 September 2002, in final form 7 March 2003
Published 30 April 2003
Guoya Dong et al 2003 Physiol. Meas. 24 449
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