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Parameter Selection Method of EIT Algorithm Based on Evaluation Index
Author(s): CHEN Xiaoyan, CHANG Xiaomin
Pages: 64-
68
Year: 2016
Issue:
6
Journal: Journal of Tianjing University of Science & Technology
Keyword: EIT algorithm; parameter selection; conjugate gradient method; Tikhonov regularization algorithm; evaluation criterion;
Abstract: To select the parameters of EIT algorithm objectively and accurately,a novel approach wasproposed to decide the number of iterations of the conjugate gradient(CG)algorithm and the regularization factors of Tikhonov regulariza-tion(TR)algorithm.Eight evaluation criterion were employed to evaluate the performances.Firstly,we encoded CG and TR algorithms respectively based on a circle EIT forward model,and obtained the solutions of each algorithm.Secondly, according to the definition of the eight evaluation criterion,the optimal reference values of the algorithms were obtained.The iteration number of the CG algorithm is 70-80 times,and the regularization factor of TR is suggested between 0.01-0.1.Thirdly,the EIT images were reconstructed with and without the reference value and compared.The quality of the im-age with the reference value is more satisfactory.After modification,the proposed method provides an objective assessment for the parameter selection of the electrical impedance image reconstruction algorithm,which lays a foundation for EIT im-age quality evaluation system.
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