Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model
This study discusses a nonlinear electrical impedance tomography (EIT) technique under different analysis conditions to propose its optimal implementation parameters. The forward problem for calculating electric potential is defined by the complete electrode model. The inverse problem for reconstruc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/17/6667 |
| _version_ | 1827664914803589120 |
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| author | Jeongwoo Park Jun Won Kang Eunsoo Choi |
| author_facet | Jeongwoo Park Jun Won Kang Eunsoo Choi |
| author_sort | Jeongwoo Park |
| collection | DOAJ |
| description | This study discusses a nonlinear electrical impedance tomography (EIT) technique under different analysis conditions to propose its optimal implementation parameters. The forward problem for calculating electric potential is defined by the complete electrode model. The inverse problem for reconstructing the target electrical conductivity profile is presented based on a partial-differential-equation-constrained optimization approach. The electrical conductivity profile is iteratively updated by solving the Karush–Kuhn–Tucker optimality conditions and using the conjugate gradient method with an inexact line search. Various analysis conditions such as regularization scheme, number of electrodes, current input patterns, and electrode arrangement were set differently, and the corresponding results were compared. It was found from this study that the proposed EIT method yielded appropriate inversion results with various parameter settings, and the optimal implementation parameters of the EIT method are presented. This study is expected to expand the utility and applicability of EIT for the non-destructive evaluation of structures. |
| first_indexed | 2024-03-10T01:14:17Z |
| format | Article |
| id | doaj.art-85107a96253d4bc8a283acbcfa2f0c59 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:14:17Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-85107a96253d4bc8a283acbcfa2f0c592023-11-23T14:12:28ZengMDPI AGSensors1424-82202022-09-012217666710.3390/s22176667Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode ModelJeongwoo Park0Jun Won Kang1Eunsoo Choi2Department of Civil and Environmental Engineering, Hongik University, Seoul 04066, KoreaDepartment of Civil and Environmental Engineering, Hongik University, Seoul 04066, KoreaDepartment of Civil and Environmental Engineering, Hongik University, Seoul 04066, KoreaThis study discusses a nonlinear electrical impedance tomography (EIT) technique under different analysis conditions to propose its optimal implementation parameters. The forward problem for calculating electric potential is defined by the complete electrode model. The inverse problem for reconstructing the target electrical conductivity profile is presented based on a partial-differential-equation-constrained optimization approach. The electrical conductivity profile is iteratively updated by solving the Karush–Kuhn–Tucker optimality conditions and using the conjugate gradient method with an inexact line search. Various analysis conditions such as regularization scheme, number of electrodes, current input patterns, and electrode arrangement were set differently, and the corresponding results were compared. It was found from this study that the proposed EIT method yielded appropriate inversion results with various parameter settings, and the optimal implementation parameters of the EIT method are presented. This study is expected to expand the utility and applicability of EIT for the non-destructive evaluation of structures.https://www.mdpi.com/1424-8220/22/17/6667electrical impedance tomographyinverse problemcomplete electrode modeloptimal implementation parameterspartial-differential-equation-constrained optimization |
| spellingShingle | Jeongwoo Park Jun Won Kang Eunsoo Choi Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model Sensors electrical impedance tomography inverse problem complete electrode model optimal implementation parameters partial-differential-equation-constrained optimization |
| title | Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model |
| title_full | Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model |
| title_fullStr | Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model |
| title_full_unstemmed | Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model |
| title_short | Optimal Implementation Parameters of a Nonlinear Electrical Impedance Tomography Method Using the Complete Electrode Model |
| title_sort | optimal implementation parameters of a nonlinear electrical impedance tomography method using the complete electrode model |
| topic | electrical impedance tomography inverse problem complete electrode model optimal implementation parameters partial-differential-equation-constrained optimization |
| url | https://www.mdpi.com/1424-8220/22/17/6667 |
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