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Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features

Correlation of parametrized image texture features (ITF) analyses conducted in different regions of interest (ROIs) overcomes limitations and reliably reflects image quality. The aim of this study is to propose a nonparametrical method and classify the quality of a magnetic resonance (MR) image that...

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Autores principales: Obuchowicz, Rafał, Piórkowski, Adam, Urbanik, Andrzej, Strzelecki, Michał
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886329/
https://www.ncbi.nlm.nih.gov/pubmed/31828100
http://dx.doi.org/10.1155/2019/3706581
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author Obuchowicz, Rafał
Piórkowski, Adam
Urbanik, Andrzej
Strzelecki, Michał
author_facet Obuchowicz, Rafał
Piórkowski, Adam
Urbanik, Andrzej
Strzelecki, Michał
author_sort Obuchowicz, Rafał
collection PubMed
description Correlation of parametrized image texture features (ITF) analyses conducted in different regions of interest (ROIs) overcomes limitations and reliably reflects image quality. The 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 MR images, 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.
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spelling pubmed-68863292019-12-11 Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features Obuchowicz, Rafał Piórkowski, Adam Urbanik, Andrzej Strzelecki, Michał Biomed Res Int Research Article Correlation of parametrized image texture features (ITF) analyses conducted in different regions of interest (ROIs) overcomes limitations and reliably reflects image quality. The 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 MR images, 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. Hindawi 2019-11-20 /pmc/articles/PMC6886329/ /pubmed/31828100 http://dx.doi.org/10.1155/2019/3706581 Text en Copyright © 2019 Rafał Obuchowicz et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Obuchowicz, Rafał
Piórkowski, Adam
Urbanik, Andrzej
Strzelecki, Michał
Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
title Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
title_full Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
title_fullStr Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
title_full_unstemmed Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
title_short Influence of Acquisition Time on MR Image Quality Estimated with Nonparametric Measures Based on Texture Features
title_sort influence of acquisition time on mr image quality estimated with nonparametric measures based on texture features
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886329/
https://www.ncbi.nlm.nih.gov/pubmed/31828100
http://dx.doi.org/10.1155/2019/3706581
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