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A high accuracy voltage approximation model based on object-oriented sensitivity matrix estimation (OO-SME model) in electrical impedance tomography

Journal of Electrical Bioimpedance
Volume 13 (2022): Issue 1 (January 2022)
By:
Open Access
|Jan 2023

Figures & Tables

Fig. 1

Flowchart of conductivity reconstruction with the OO-SME model.
Flowchart of conductivity reconstruction with the OO-SME model.

Fig. 2

Mesh, conductivity of background- and object-fields
Mesh, conductivity of background- and object-fields

Fig. 3

Voltage changes of different objects in the simulation.
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.
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.
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
Experimental setup of EIT system

Fig. 7

Voltage changes of different objects in the experiment.
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.
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.
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.
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.
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.
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.
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.
DOI: https://doi.org/10.2478/joeb-2022-0015 | Journal eISSN: 1891-5469
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Language: English
Page range: 106 - 115
Submitted on: Nov 22, 2022
Published on: Jan 8, 2023
Published by: University of Oslo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
Electrical impedance tomography,
object-oriented sensitivity matrix estimation,
high reconstruction accuracy
Related subjects:
Engineering,
Bioengineering and biomedical engineering,
Biomedical electronics,
Life sciences,
Biophysics,
Medicine,
Biomedical engineering,
Physics,
Spectroscopy and metrology

© 2023 Zengfeng Gao, Panji Nursetia Darma, Daisuke Kawashima, Masahiro Takei, published by University of Oslo
This work is licensed under the Creative Commons Attribution 4.0 License.

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