Highly Accurate Image Reconstruction using Electrical Impedance Tomography

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU126070" target="_blank" >RIV/00216305:26220/17:PU126070 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8261845" target="_blank" >https://ieeexplore.ieee.org/document/8261845</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/PIERS.2017.8261845" target="_blank" >10.1109/PIERS.2017.8261845</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Highly Accurate Image Reconstruction using Electrical Impedance Tomography

Popis výsledku v původním jazyce

This paper proposes a technique for solving the electrical tomography inverse problem. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. In principle, measuring both the amplitude and the phase angle of the voltage can result in electrical conductivity images. Image reconstruction in EIT is an inverse problem, commonly presented as minimizing the suitable objective function. The deterministic approach based on Tikhonov regularization was used to obtain the desired conductivity image. To acquire the image of the internal conductivity, we applied the Newton-Raphson method. This iterative procedure is regularly used in the EIT inverse problem for its fast convergence and good reconstruction quality. A level set method was employed in the reconstruction algorithm to ensure accurate results. The outcomes of the described algorithm and the one obtained via standard methods are suitably compared in the article.

Název v anglickém jazyce

Highly Accurate Image Reconstruction using Electrical Impedance Tomography

Popis výsledku anglicky

This paper proposes a technique for solving the electrical tomography inverse problem. Usually, a set of voltage measurements is acquired from the boundaries of an investigated volume, whilst this is subjected to a sequence of low-frequency current patterns. In principle, measuring both the amplitude and the phase angle of the voltage can result in electrical conductivity images. Image reconstruction in EIT is an inverse problem, commonly presented as minimizing the suitable objective function. The deterministic approach based on Tikhonov regularization was used to obtain the desired conductivity image. To acquire the image of the internal conductivity, we applied the Newton-Raphson method. This iterative procedure is regularly used in the EIT inverse problem for its fast convergence and good reconstruction quality. A level set method was employed in the reconstruction algorithm to ensure accurate results. The outcomes of the described algorithm and the one obtained via standard methods are suitably compared in the article.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

PIERS 2017 Proceedings

ISBN

978-1-5090-6269-0

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

767-771

Název nakladatele

St Petersburg, Russia

Místo vydání

neuveden

Místo konání akce

Petrohrad

Datum konání akce

22. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000427596700146