Influence of Noise in Tissue Image Reconstruction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F10%3APU87048" target="_blank" >RIV/00216305:26220/10:PU87048 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Influence of Noise in Tissue Image Reconstruction

Popis výsledku v původním jazyce

This paper describes the examination of new techniques for image reconstruction in electrical impedance tomography (EIT) in view of its influence to noise suppression. The examination was performed with respect to utilization in biomedical engineering. It is well known that while the forward problem is a well-posed task, the inverse problem is nonlinear and usually an ill-posed task. The presence of noise has huge impact on quality of image reconstruction. The recently described methods are based on deterministic or stochastic approach to solve 2D problems mainly. New technique, which uses the combination of well known methods for reconstruction EIT images - Tikhonov Regularization Method (TRM) and method used for image segmentation are presented. Thepresence of several noise magnitude levels is lead in and its influence on reconstructed image quality is observed. Numerical results of the image reconstruction procedures are presented and compared.

Název v anglickém jazyce

Influence of Noise in Tissue Image Reconstruction

Popis výsledku anglicky

This paper describes the examination of new techniques for image reconstruction in electrical impedance tomography (EIT) in view of its influence to noise suppression. The examination was performed with respect to utilization in biomedical engineering. It is well known that while the forward problem is a well-posed task, the inverse problem is nonlinear and usually an ill-posed task. The presence of noise has huge impact on quality of image reconstruction. The recently described methods are based on deterministic or stochastic approach to solve 2D problems mainly. New technique, which uses the combination of well known methods for reconstruction EIT images - Tikhonov Regularization Method (TRM) and method used for image segmentation are presented. Thepresence of several noise magnitude levels is lead in and its influence on reconstructed image quality is observed. Numerical results of the image reconstruction procedures are presented and compared.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

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

Název statě ve sborníku

Elektro 2010 proceedings

ISBN

978-80-554-0196-6

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Žilina

Datum konání akce

24. 5. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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