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Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising

PURPOSE: To develop an isotropic three-dimensional (3D) T2 mapping technique for the quantitative assessment of the composition of knee cartilage with high accuracy and precision. METHODS: A T2-prepared water-selective isotropic 3D gradient-echo pulse sequence was used to generate four images at 3 T...

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Autores principales: Kuhn, Simon, Bustin, Aurélien, Lamri-Senouci, Aicha, Rumac, Simone, Ledoux, Jean-Baptiste, Colotti, Roberto, Bastiaansen, Jessica A. M., Yerly, Jérôme, Favre, Julien, Omoumi, Patrick, van Heeswijk, Ruud B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200730/
https://www.ncbi.nlm.nih.gov/pubmed/37211577
http://dx.doi.org/10.1186/s41747-023-00339-8
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author Kuhn, Simon
Bustin, Aurélien
Lamri-Senouci, Aicha
Rumac, Simone
Ledoux, Jean-Baptiste
Colotti, Roberto
Bastiaansen, Jessica A. M.
Yerly, Jérôme
Favre, Julien
Omoumi, Patrick
van Heeswijk, Ruud B.
author_facet Kuhn, Simon
Bustin, Aurélien
Lamri-Senouci, Aicha
Rumac, Simone
Ledoux, Jean-Baptiste
Colotti, Roberto
Bastiaansen, Jessica A. M.
Yerly, Jérôme
Favre, Julien
Omoumi, Patrick
van Heeswijk, Ruud B.
author_sort Kuhn, Simon
collection PubMed
description PURPOSE: To develop an isotropic three-dimensional (3D) T2 mapping technique for the quantitative assessment of the composition of knee cartilage with high accuracy and precision. METHODS: A T2-prepared water-selective isotropic 3D gradient-echo pulse sequence was used to generate four images at 3 T. These were used for three T2 map reconstructions: standard images with an analytical T2 fit (AnT2Fit); standard images with a dictionary-based T2 fit (DictT2Fit); and patch-based-denoised images with a dictionary-based T2 fit (DenDictT2Fit). The accuracy of the three techniques was first optimized in a phantom study against spin-echo imaging, after which knee cartilage T2 values and coefficients of variation (CoV) were assessed in ten subjects in order to establish accuracy and precision in vivo. Data given as mean ± standard deviation. RESULTS: After optimization in the phantom, whole-knee cartilage T2 values of the healthy volunteers were 26.6 ± 1.6 ms (AnT2Fit), 42.8 ± 1.8 ms (DictT2Fit, p < 0.001 versus AnT2Fit), and 40.4 ± 1.7 ms (DenDictT2Fit, p = 0.009 versus DictT2Fit). The whole-knee T2 CoV reduced from 51.5% ± 5.6% to 30.5 ± 2.4 and finally to 13.1 ± 1.3%, respectively (p < 0.001 between all). The DictT2Fit improved the data reconstruction time: 48.7 ± 11.3 min (AnT2Fit) versus 7.3 ± 0.7 min (DictT2Fit, p < 0.001). Very small focal lesions were observed in maps generated with DenDictT2Fit. CONCLUSIONS: Improved accuracy and precision for isotropic 3D T2 mapping of knee cartilage were demonstrated by using patch-based image denoising and dictionary-based reconstruction. KEY POINTS: • Dictionary T2 fitting improves the accuracy of three-dimensional (3D) knee T2 mapping. • Patch-based denoising results in high precision in 3D knee T2 mapping. • Isotropic 3D knee T2 mapping enables the visualization of small anatomical details. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41747-023-00339-8.
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spelling pubmed-102007302023-05-23 Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising Kuhn, Simon Bustin, Aurélien Lamri-Senouci, Aicha Rumac, Simone Ledoux, Jean-Baptiste Colotti, Roberto Bastiaansen, Jessica A. M. Yerly, Jérôme Favre, Julien Omoumi, Patrick van Heeswijk, Ruud B. Eur Radiol Exp Original Article PURPOSE: To develop an isotropic three-dimensional (3D) T2 mapping technique for the quantitative assessment of the composition of knee cartilage with high accuracy and precision. METHODS: A T2-prepared water-selective isotropic 3D gradient-echo pulse sequence was used to generate four images at 3 T. These were used for three T2 map reconstructions: standard images with an analytical T2 fit (AnT2Fit); standard images with a dictionary-based T2 fit (DictT2Fit); and patch-based-denoised images with a dictionary-based T2 fit (DenDictT2Fit). The accuracy of the three techniques was first optimized in a phantom study against spin-echo imaging, after which knee cartilage T2 values and coefficients of variation (CoV) were assessed in ten subjects in order to establish accuracy and precision in vivo. Data given as mean ± standard deviation. RESULTS: After optimization in the phantom, whole-knee cartilage T2 values of the healthy volunteers were 26.6 ± 1.6 ms (AnT2Fit), 42.8 ± 1.8 ms (DictT2Fit, p < 0.001 versus AnT2Fit), and 40.4 ± 1.7 ms (DenDictT2Fit, p = 0.009 versus DictT2Fit). The whole-knee T2 CoV reduced from 51.5% ± 5.6% to 30.5 ± 2.4 and finally to 13.1 ± 1.3%, respectively (p < 0.001 between all). The DictT2Fit improved the data reconstruction time: 48.7 ± 11.3 min (AnT2Fit) versus 7.3 ± 0.7 min (DictT2Fit, p < 0.001). Very small focal lesions were observed in maps generated with DenDictT2Fit. CONCLUSIONS: Improved accuracy and precision for isotropic 3D T2 mapping of knee cartilage were demonstrated by using patch-based image denoising and dictionary-based reconstruction. KEY POINTS: • Dictionary T2 fitting improves the accuracy of three-dimensional (3D) knee T2 mapping. • Patch-based denoising results in high precision in 3D knee T2 mapping. • Isotropic 3D knee T2 mapping enables the visualization of small anatomical details. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41747-023-00339-8. Springer Vienna 2023-05-22 /pmc/articles/PMC10200730/ /pubmed/37211577 http://dx.doi.org/10.1186/s41747-023-00339-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Kuhn, Simon
Bustin, Aurélien
Lamri-Senouci, Aicha
Rumac, Simone
Ledoux, Jean-Baptiste
Colotti, Roberto
Bastiaansen, Jessica A. M.
Yerly, Jérôme
Favre, Julien
Omoumi, Patrick
van Heeswijk, Ruud B.
Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising
title Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising
title_full Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising
title_fullStr Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising
title_full_unstemmed Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising
title_short Improved accuracy and precision of fat-suppressed isotropic 3D T2 mapping MRI of the knee with dictionary fitting and patch-based denoising
title_sort improved accuracy and precision of fat-suppressed isotropic 3d t2 mapping mri of the knee with dictionary fitting and patch-based denoising
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10200730/
https://www.ncbi.nlm.nih.gov/pubmed/37211577
http://dx.doi.org/10.1186/s41747-023-00339-8
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