Improved Estimation of Tissue Noise Power Spectra in CT Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110234" target="_blank" >RIV/00216305:26220/14:PU110234 - 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

Improved Estimation of Tissue Noise Power Spectra in CT Data

Popis výsledku v původním jazyce

Evaluation and measuring of image quality in X-ray computed tomographic (CT) data gained importance with recent appearance of modern algorithms for iterative reconstruction of CT data. Thanks to the ability of dramatically reducing applied radiation dosedeclaratively without loss of image quality, they are expected to replace the conventionally used filtered back projection (FBP) algorithm. Quality of iteratively reconstructed data in terms of image noise is routinely evaluated in images of homogeneousphantoms or in small regions of interest in real patient data. Character of the noise, whose characteristics are dependent on imaged scene, require measuring in the whole volume of real patient data and moreover in diverse tissues separately. This paperpresents generalization of one dimensional noise power spectra estimation which enables its calculation from separate tissues. Firstly, basic tissues must be segmented and the resulting segmentation masks are used for the noise power spe

Název v anglickém jazyce

Improved Estimation of Tissue Noise Power Spectra in CT Data

Popis výsledku anglicky

Evaluation and measuring of image quality in X-ray computed tomographic (CT) data gained importance with recent appearance of modern algorithms for iterative reconstruction of CT data. Thanks to the ability of dramatically reducing applied radiation dosedeclaratively without loss of image quality, they are expected to replace the conventionally used filtered back projection (FBP) algorithm. Quality of iteratively reconstructed data in terms of image noise is routinely evaluated in images of homogeneousphantoms or in small regions of interest in real patient data. Character of the noise, whose characteristics are dependent on imaged scene, require measuring in the whole volume of real patient data and moreover in diverse tissues separately. This paperpresents generalization of one dimensional noise power spectra estimation which enables its calculation from separate tissues. Firstly, basic tissues must be segmented and the resulting segmentation masks are used for the noise power spe

Druh

D - Stať ve sborníku

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

WSCG 2014 - Full papers proceedings

ISBN

978-80-86943-70-1

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

167-176

Název nakladatele

Neuveden

Místo vydání

Plzeň

Místo konání akce

Plzeň

Datum konání akce

2. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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