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Journal of Electrical Bioimpedance
Volume 13 (2022): Numero 1 (January 2022)
Accesso libero
A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography
Zengfeng Gao
Zengfeng Gao
,
Panji Nursetia Darma
Panji Nursetia Darma
,
Daisuke Kawashima
Daisuke Kawashima
e
Masahiro Takei
Masahiro Takei
| 08 gen 2023
Journal of Electrical Bioimpedance
Volume 13 (2022): Numero 1 (January 2022)
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Pubblicato online:
08 gen 2023
Pagine:
106 - 115
Ricevuto:
22 nov 2022
DOI:
https://doi.org/10.2478/joeb-2022-0015
Parole chiave
Electrical impedance tomography
,
object-oriented sensitivity matrix estimation
,
high reconstruction accuracy
© 2022 Zengfeng Gao, Panji Nursetia Darma, Daisuke Kawashima, and Masahiro Takei, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Fig. 1
Flowchart of conductivity reconstruction with the OO-SME model.
Fig. 2
Mesh, conductivity of background- and object-fields
Fig. 3
Voltage changes of different objects in the simulation.
Fig. 4
Reconstructed conductivity based on different conductivity reconstruction models in the simulation. (a) Object-fields; (b) Linear model; (c) Sensitivity updating model; (d) Second-order sensitivity model; (e) OO-SME model.
Fig. 5
Comparison of RA of reconstructed conductivity based on the linear model, sensitivity updating model, second-order sensitivity model, and OO-SME model in the simulation.
Fig. 6
Experimental setup of EIT system
Fig. 7
Voltage changes of different objects in the experiment.
Fig. 8
Reconstructed conductivity based on different conductivity reconstruction models in the experiment. (a) Object-fields; (b) Linear model; (c) Sensitivity updating model; (d) Second-order sensitivity model; (e) OO-SME model.
Fig. 9
Comparison of RA of reconstructed conductivity based on the linear model, sensitivity updating model, second-order sensitivity model, and OO-SME model in the experiment.
Fig. 10
Comparison between ΔU* and u(Δσ) based on different conductivity reconstruction models in the simulation.
Fig. 11
Comparison of components of u(Δσ) with different objects in the simulation.
Fig. 12
Comparison of sensitivity based on different conductivity reconstruction models in the simulation. (a) Object-field; (b) Sb in linear model; (c) Sb* in sensitivity updating model; (d) Sb + Sb† in second-order sensitivity model; (e) So* in OO-SME model.
Fig. 13
Comparison of sensitivity based on different conductivity reconstruction models in the experiment. (a) Object-field; (b) Sb in linear model; (c) Sb* in sensitivity updating model; (d) Sb + Sb† in second-order sensitivity model; (e) So* in OO-SME model.