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Influence of acquisition time on MR image quality estimated with nonparametric measures based on texture features

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Influence of acquisition time on MR image quality estimated with nonparametric measures based on texture features

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dc.contributor.author Obuchowicz, Rafał pl
dc.contributor.author Piórkowski, Adam pl
dc.contributor.author Urbanik, Andrzej [SAP20001269] pl
dc.contributor.author Strzelecki, Michał pl
dc.date.accessioned 2020-12-02T10:25:18Z pl
dc.date.available 2020-12-02T10:25:18Z pl
dc.date.issued 2019 pl
dc.identifier.issn 2314-6133 pl
dc.identifier.uri https://ruj.uj.edu.pl/xmlui/handle/item/256943
dc.language eng pl
dc.rights Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/pl/legalcode *
dc.title Influence of acquisition time on MR image quality estimated with nonparametric measures based on texture features pl
dc.type JournalArticle pl
dc.identifier.weblink https://www.hindawi.com/journals/bmri/2019/3706581/ pl
dc.abstract.en Correlation of parametrized image texture features (ITF) analyses conducted in different regions of interest (ROIs) overcomes limitations and reliably reflects image quality. +e aim of this study is to propose a nonparametrical method and classify the quality of a magnetic resonance (MR) image that has undergone controlled degradation by using textural features in the image. Images of 41 patients, 17 women and 24 men, aged between 23 and 56 years were analyzed. T2-weighted sagittal sequences of the lumbar spine, cervical spine, and knee and T2-weighted coronal sequences of the shoulder and wrist were generated. The implementation of parallel imaging with the use of GRAPPA2, GRAPPA3, and GRAPPA4 led to a substantial reduction in the scanning time but also degraded image quality. The number of degraded image textural features was correlated with the scanning time. Longer scan times correlated with markedly higher ITF image persistence in comparison with images computed with reduced scan times. Higher ITF preservation was observed in images of bones in the spine and femur as compared to images of soft tissues, i.e., tendons and muscles. Finally, a nonparametrized image quality assessment based on an analysis of the ITF, computed for different tissues, correlating with the changes in acquisition time of the MRimages, was successfully developed. The correlation between acquisition time and the number of reproducible features present in an MR image was found to yield the necessary assumptions to calculate the quality index. pl
dc.description.volume 2019 pl
dc.description.points 70 pl
dc.identifier.doi 10.1155/2019/3706581 pl
dc.identifier.eissn 2314-6141 pl
dc.title.journal BioMed Research International pl
dc.language.container eng pl
dc.date.accession 2020-01-24 pl
dc.affiliation Wydział Lekarski : Zakład Radiologii pl
dc.subtype Article pl
dc.identifier.articleid 3706581 pl
dc.rights.original CC-BY; otwarte czasopismo; ostateczna wersja wydawcy; w momencie opublikowania; 0 pl
dc.identifier.project ROD UJ / OP pl
dc.cm.id 97897
dc.cm.date 2020-12-02
.pointsMNiSW [2019 A]: 70


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Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa Except where otherwise noted, this item's license is described as Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa