Preprocessing for Quantitative Statistical Noise Analysis of MDCT Brain Images Reconstructed Using Hybrid Iterative (iDose) Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F12%3APU98500" target="_blank" >RIV/00216305:26220/12:PU98500 - 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

Preprocessing for Quantitative Statistical Noise Analysis of MDCT Brain Images Reconstructed Using Hybrid Iterative (iDose) Algorithm

Popis výsledku v původním jazyce

Radiation dose reduction is a very actual problem in medical X-ray CT imaging and plenty of strategies have been introduced recently. Hybrid iterative reconstruction algorithms are one of them enabling dose reduction up to 70 %. Paper describes data preprocessing and feature extraction from iteratively reconstructed images in order to assess their quality in terms of image noise and compare with quality of images reconstructed by conventional filtered back projection. Preprocessing stage is consisted from correction of the stair-step artifact and fast, precise bones and soft tissue segmentation. Noise patterns of differently reconstructed images can therefore be examined separately in these tissue types. In order to remove anatomical structures and obtain pure noise subtraction of images reconstructed by iDose from images reconstructed by filtered back projection is performed. Results of these subtractions are called residual noise images and are used to further extraction of noise par

Název v anglickém jazyce

Preprocessing for Quantitative Statistical Noise Analysis of MDCT Brain Images Reconstructed Using Hybrid Iterative (iDose) Algorithm

Popis výsledku anglicky

Radiation dose reduction is a very actual problem in medical X-ray CT imaging and plenty of strategies have been introduced recently. Hybrid iterative reconstruction algorithms are one of them enabling dose reduction up to 70 %. Paper describes data preprocessing and feature extraction from iteratively reconstructed images in order to assess their quality in terms of image noise and compare with quality of images reconstructed by conventional filtered back projection. Preprocessing stage is consisted from correction of the stair-step artifact and fast, precise bones and soft tissue segmentation. Noise patterns of differently reconstructed images can therefore be examined separately in these tissue types. In order to remove anatomical structures and obtain pure noise subtraction of images reconstructed by iDose from images reconstructed by filtered back projection is performed. Results of these subtractions are called residual noise images and are used to further extraction of noise par

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

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

WSCG ' 2012 Conference Proceedings

ISBN

978-80-86943-79-4

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

73-80

Název nakladatele

Neuveden

Místo vydání

Neuveden

Místo konání akce

Plzeň

Datum konání akce

25. 6. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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