The application of the generalized vector sample pattern matching method for EIT image reconstruction.
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.
Dong
Guoya
G
Institute of Biomedical Engineering, Tsinghua University, Beijing, 100084, People's Republic of China. dgy99@mails.tsinghua.edu.cn
Bayford
Richard H
RH
Gao
Shangkai
S
Saito
Yoshifuru
Y
Yerworth
Rebecca
R
Holder
David
D
Yan
Weili
W
D016477:Artifacts; D001826:Body Fluids / Q000502:physiology; D003198:Computer Simulation; D017097:Electric Impedance; D006257:Head; D006801:Humans; D008954:Models, Biological; D014054:Tomography / Q000379:methods*