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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU110234%21RIV15-MSM-26220___
rdf:type
skos:Concept n18:Vysledek
dcterms:description
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 dose declaratively 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 homogeneous phantoms 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 paper presents 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 spectra estimation. 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 dose declaratively 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 homogeneous phantoms 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 paper presents 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 spectra estimation.
dcterms:title
Improved Estimation of Tissue Noise Power Spectra in CT Data Improved Estimation of Tissue Noise Power Spectra in CT Data
skos:prefLabel
Improved Estimation of Tissue Noise Power Spectra in CT Data Improved Estimation of Tissue Noise Power Spectra in CT Data
skos:notation
RIV/00216305:26220/14:PU110234!RIV15-MSM-26220___
n3:aktivita
n12:S
n3:aktivity
S
n3:dodaniDat
n6:2015
n3:domaciTvurceVysledku
n17:4239598 n17:7927185
n3:druhVysledku
n19:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
20959
n3:idVysledku
RIV/00216305:26220/14:PU110234
n3:jazykVysledku
n15:eng
n3:klicovaSlova
X-ray computed tomography, iterative reconstruction, image quality, noise power spectra, spectral leakage, 2D windowing function.
n3:klicoveSlovo
n4:X-ray%20computed%20tomography n4:noise%20power%20spectra n4:iterative%20reconstruction n4:2D%20windowing%20function. n4:spectral%20leakage n4:image%20quality
n3:kontrolniKodProRIV
[A03884FD0249]
n3:mistoKonaniAkce
Plzeň
n3:mistoVydani
Plzeň
n3:nazevZdroje
WSCG 2014 - Full papers proceedings
n3:obor
n14:JD
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
5
n3:rokUplatneniVysledku
n6:2014
n3:tvurceVysledku
Jan, Jiří Skotáková, Jarmila Walek, Petr Jíra, Igor Ouředníček, Petr
n3:typAkce
n20:WRD
n3:zahajeniAkce
2014-06-02+02:00
s:numberOfPages
10
n16:hasPublisher
Neuveden
n13:isbn
978-80-86943-70-1
n11:organizacniJednotka
26220