Login
Registrieren
Passwort zurücksetzen
Veröffentlichen & Verteilen
Verlagslösungen
Vertriebslösungen
Themen
Veröffentlichungen
Zeitschriften
Bücher
Konferenzberichte
Verlage
Blog
Kontakt
Suche
Warenkorb
EUR
USD
GBP
Deutsch
English
Deutsch
Polski
Español
Français
Italiano
Home
Zeitschriften
Journal of Electrical Bioimpedance
Band 13 (2022): Heft 1 (January 2022)
Uneingeschränkter Zugang
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
und
Masahiro Takei
Masahiro Takei
| 08. Jan. 2023
Journal of Electrical Bioimpedance
Band 13 (2022): Heft 1 (January 2022)
Über diesen Artikel
Vorheriger Artikel
Nächster Artikel
Zusammenfassung
Artikel
Figuren und Tabellen
Referenzen
Autoren
Artikel in dieser Ausgabe
Vorschau
PDF
Zitieren
Teilen
Online veröffentlicht:
08. Jan. 2023
Seitenbereich:
106 - 115
Eingereicht:
22. Nov. 2022
DOI:
https://doi.org/10.2478/joeb-2022-0015
Schlüsselwörter
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.