Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography
The image reconstruction for electrical impedance tomography (EIT) mathematically is a typed nonlinear ill-posed inverse problem. In this paper, a novel iteration regularization scheme based on the homotopy perturbation technique, namely, homotopy perturbation inversion method, is applied to investi...
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Online Access: | http://dx.doi.org/10.1155/2013/454706 |
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doaj-3681e4ecc5e9417eb2f18918e4983a832020-11-25T00:14:22ZengHindawi LimitedJournal of Applied Mathematics1110-757X1687-00422013-01-01201310.1155/2013/454706454706Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance TomographyJing Wang0Bo Han1Department of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaDepartment of Mathematics, Harbin Institute of Technology, Harbin 150001, ChinaThe image reconstruction for electrical impedance tomography (EIT) mathematically is a typed nonlinear ill-posed inverse problem. In this paper, a novel iteration regularization scheme based on the homotopy perturbation technique, namely, homotopy perturbation inversion method, is applied to investigate the EIT image reconstruction problem. To verify the feasibility and effectiveness, simulations of image reconstruction have been performed in terms of considering different locations, sizes, and numbers of the inclusions, as well as robustness to data noise. Numerical results indicate that this method can overcome the numerical instability and is robust to data noise in the EIT image reconstruction. Moreover, compared with the classical Landweber iteration method, our approach improves the convergence rate. The results are promising.http://dx.doi.org/10.1155/2013/454706 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jing Wang Bo Han |
spellingShingle |
Jing Wang Bo Han Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography Journal of Applied Mathematics |
author_facet |
Jing Wang Bo Han |
author_sort |
Jing Wang |
title |
Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography |
title_short |
Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography |
title_full |
Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography |
title_fullStr |
Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography |
title_full_unstemmed |
Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography |
title_sort |
image reconstruction based on homotopy perturbation inversion method for electrical impedance tomography |
publisher |
Hindawi Limited |
series |
Journal of Applied Mathematics |
issn |
1110-757X 1687-0042 |
publishDate |
2013-01-01 |
description |
The image reconstruction for electrical impedance tomography (EIT) mathematically is a typed nonlinear ill-posed inverse problem. In this paper, a novel iteration regularization scheme based on the homotopy perturbation technique, namely, homotopy perturbation inversion method, is applied to investigate the EIT image reconstruction problem. To verify the feasibility and effectiveness, simulations of image reconstruction have been performed in terms of considering different locations, sizes, and numbers of the inclusions, as well as robustness to data noise. Numerical results indicate that this method can overcome the numerical instability and is robust to data noise in the EIT image reconstruction. Moreover, compared with the classical Landweber iteration method, our approach improves the convergence rate. The results are promising. |
url |
http://dx.doi.org/10.1155/2013/454706 |
work_keys_str_mv |
AT jingwang imagereconstructionbasedonhomotopyperturbationinversionmethodforelectricalimpedancetomography AT bohan imagereconstructionbasedonhomotopyperturbationinversionmethodforelectricalimpedancetomography |
_version_ |
1725390939141177344 |