Domain Shape Optimization in Electrical Impedance Tomography

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU144214" target="_blank" >RIV/00216305:26220/21:PU144214 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/PIERS53385.2021.9694687" target="_blank" >http://dx.doi.org/10.1109/PIERS53385.2021.9694687</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PIERS53385.2021.9694687" target="_blank" >10.1109/PIERS53385.2021.9694687</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Domain Shape Optimization in Electrical Impedance Tomography

Popis výsledku v původním jazyce

This paper introduces the optimization of domain shape parameters in electrical impedance tomography-based imaging. Precise impedance reconstruction requires accurate, well-correlated physical and numerical finite element method (FEM) models; thus, we employed the Nelder-Mead algorithm and a complete electrode model to evaluate the domain shape deformation. The deformation of the originally circular model is defined by the size of the major and minor axes of the equivalent elliptical shape. The optimization process was designed to calculate the parameters of the numerical model before the image reconstruction begins. The models were verified via simulation and experimental measurement with adjacent strategy. The optimized model reduced the overall conductivity distribution error of 6.16%. The designed optimization process proved to be suitable for correlating the numerical and the physical models, and it also enabled us to effectively eliminate imaging uncertainties and artifacts.

Název v anglickém jazyce

Domain Shape Optimization in Electrical Impedance Tomography

Popis výsledku anglicky

This paper introduces the optimization of domain shape parameters in electrical impedance tomography-based imaging. Precise impedance reconstruction requires accurate, well-correlated physical and numerical finite element method (FEM) models; thus, we employed the Nelder-Mead algorithm and a complete electrode model to evaluate the domain shape deformation. The deformation of the originally circular model is defined by the size of the major and minor axes of the equivalent elliptical shape. The optimization process was designed to calculate the parameters of the numerical model before the image reconstruction begins. The models were verified via simulation and experimental measurement with adjacent strategy. The optimized model reduced the overall conductivity distribution error of 6.16%. The designed optimization process proved to be suitable for correlating the numerical and the physical models, and it also enabled us to effectively eliminate imaging uncertainties and artifacts.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Photonics & Electromagnetics Research Symposium (PIERS)

ISBN

978-1-7281-7247-7

ISSN

1559-9450

e-ISSN

—

Počet stran výsledku

5

Strana od-do

2155-2159

Název nakladatele

Neuveden

Místo vydání

neuveden

Místo konání akce

Hangzhou, China

Datum konání akce

21. 11. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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