A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography
The image reconstruction in electrical impedance tomography (EIT) has low accuracy due to the approximation error between the measured voltage change and the approximated voltage change, from which the object cannot be accurately reconstructed and quantitatively evaluated. A voltage approximation mo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2023-01-01
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| Series: | Journal of Electrical Bioimpedance |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/joeb-2022-0015 |
| _version_ | 1811171392087916544 |
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| author | Gao Zengfeng Darma Panji Nursetia Kawashima Daisuke Takei Masahiro |
| author_facet | Gao Zengfeng Darma Panji Nursetia Kawashima Daisuke Takei Masahiro |
| author_sort | Gao Zengfeng |
| collection | DOAJ |
| description | The image reconstruction in electrical impedance tomography (EIT) has low accuracy due to the approximation error between the measured voltage change and the approximated voltage change, from which the object cannot be accurately reconstructed and quantitatively evaluated. A voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) is proposed to reconstruct the image with high accuracy. In the OO-SME model, a sensitivity matrix of the object-field is estimated, and the sensitivity matrix change from the background-field to the object-field is estimated to optimize the approximated voltage change, from which the approximation error is eliminated to improve the reconstruction accuracy. Against the existing linear and nonlinear models, the approximation error in the OO-SME model is eliminated, thus an image with higher accuracy is reconstructed. The simulation shows that the OO-SME model reconstructs a more accurate image than the existing models for quantitative evaluation. The relative accuracy (RA) of reconstructed conductivity is increased up to 83.98% on average. The experiment of lean meat mass evaluation shows that the RA of lean meat mass is increased from 7.70% with the linear model to 54.60% with the OO-SME model. It is concluded that the OO-SME model reconstructs a more accurate image to evaluate the object quantitatively than the existing models. |
| first_indexed | 2024-04-10T17:14:22Z |
| format | Article |
| id | doaj.art-ca0d232498944e558cc0ea956c9eb2e7 |
| institution | Directory Open Access Journal |
| issn | 1891-5469 |
| language | English |
| last_indexed | 2024-04-10T17:14:22Z |
| publishDate | 2023-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Journal of Electrical Bioimpedance |
| spelling | doaj.art-ca0d232498944e558cc0ea956c9eb2e72023-02-05T19:15:26ZengSciendoJournal of Electrical Bioimpedance1891-54692023-01-0113110611510.2478/joeb-2022-0015A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomographyGao Zengfeng0Darma Panji Nursetia1Kawashima Daisuke2Takei Masahiro3Division of Fundamental Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, JapanDivision of Fundamental Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, JapanDivision of Fundamental Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, JapanDivision of Fundamental Engineering, Graduate School of Science and Engineering, Chiba University, Chiba, JapanThe image reconstruction in electrical impedance tomography (EIT) has low accuracy due to the approximation error between the measured voltage change and the approximated voltage change, from which the object cannot be accurately reconstructed and quantitatively evaluated. A voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) is proposed to reconstruct the image with high accuracy. In the OO-SME model, a sensitivity matrix of the object-field is estimated, and the sensitivity matrix change from the background-field to the object-field is estimated to optimize the approximated voltage change, from which the approximation error is eliminated to improve the reconstruction accuracy. Against the existing linear and nonlinear models, the approximation error in the OO-SME model is eliminated, thus an image with higher accuracy is reconstructed. The simulation shows that the OO-SME model reconstructs a more accurate image than the existing models for quantitative evaluation. The relative accuracy (RA) of reconstructed conductivity is increased up to 83.98% on average. The experiment of lean meat mass evaluation shows that the RA of lean meat mass is increased from 7.70% with the linear model to 54.60% with the OO-SME model. It is concluded that the OO-SME model reconstructs a more accurate image to evaluate the object quantitatively than the existing models.https://doi.org/10.2478/joeb-2022-0015electrical impedance tomographyobject-oriented sensitivity matrix estimationhigh reconstruction accuracy |
| spellingShingle | Gao Zengfeng Darma Panji Nursetia Kawashima Daisuke Takei Masahiro A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography Journal of Electrical Bioimpedance electrical impedance tomography object-oriented sensitivity matrix estimation high reconstruction accuracy |
| title | A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography |
| title_full | A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography |
| title_fullStr | A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography |
| title_full_unstemmed | A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography |
| title_short | A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography |
| title_sort | high accuracy voltage approximation model based on object oriented sensitivity matrix estimation oo sme model in electrical impedance tomography |
| topic | electrical impedance tomography object-oriented sensitivity matrix estimation high reconstruction accuracy |
| url | https://doi.org/10.2478/joeb-2022-0015 |
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