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Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI
PURPOSE: To develop and evaluate an efficient precontrast T(1) mapping technique suitable for quantitative high‐resolution whole‐brain dynamic contrast‐enhanced–magnetic resonance imaging (DCE‐MRI). METHODS: Variable flip angle (VFA) T(1) mapping was considered that provides 1 × 1 × 2 mm(3) resoluti...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362109/ https://www.ncbi.nlm.nih.gov/pubmed/34036658 http://dx.doi.org/10.1002/mrm.28849 |
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author | Zhu, Zhibo Lebel, R. Marc Bliesener, Yannick Acharya, Jay Frayne, Richard Nayak, Krishna S. |
author_facet | Zhu, Zhibo Lebel, R. Marc Bliesener, Yannick Acharya, Jay Frayne, Richard Nayak, Krishna S. |
author_sort | Zhu, Zhibo |
collection | PubMed |
description | PURPOSE: To develop and evaluate an efficient precontrast T(1) mapping technique suitable for quantitative high‐resolution whole‐brain dynamic contrast‐enhanced–magnetic resonance imaging (DCE‐MRI). METHODS: Variable flip angle (VFA) T(1) mapping was considered that provides 1 × 1 × 2 mm(3) resolution to match a recent high‐resolution whole‐brain DCE‐MRI protocol. Seven FAs were logarithmically spaced from 1.5° to 15°. T(1) and M(0) maps were estimated using model‐based reconstruction. This approach was evaluated using an anatomically realistic brain tumor digital reference object (DRO) with noise‐mimicking 3T neuroimaging and fully sampled data acquired from one healthy volunteer. Methods were also applied on fourfold prospectively undersampled VFA data from 13 patients with high‐grade gliomas. RESULTS: T(1)‐mapping precision decreased with undersampling factor R, althoughwhereas bias remained small before a critical R. In the noiseless DRO, T(1) bias was <25 ms in white matter (WM) and <11 ms in brain tumor (BT). T(1) standard deviation (SD) was <119.5 ms in WM (coefficient of variation [COV] ~11.0%) and <253.2 ms in BT (COV ~12.7%). In the noisy DRO, T(1) bias was <50 ms in WM and <30 ms in BT. For R ≤ 10, T(1) SD was <107.1 ms in WM (COV ~9.9%) and <240.9 ms in BT (COV ~12.1%). In the healthy subject, T(1) bias was <30 ms for R ≤ 16. At R = 4, T(1) SD was 171.4 ms (COV ~13.0%). In the prospective brain tumor study, T(1) values were consistent with literature values in WM and BT. CONCLUSION: High‐resolution whole‐brain VFA T(1) mapping is feasible with sparse sampling, supporting its use for quantitative DCE‐MRI. |
format | Online Article Text |
id | pubmed-8362109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83621092021-08-17 Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI Zhu, Zhibo Lebel, R. Marc Bliesener, Yannick Acharya, Jay Frayne, Richard Nayak, Krishna S. Magn Reson Med Research Articles—Computer Processing and Modeling PURPOSE: To develop and evaluate an efficient precontrast T(1) mapping technique suitable for quantitative high‐resolution whole‐brain dynamic contrast‐enhanced–magnetic resonance imaging (DCE‐MRI). METHODS: Variable flip angle (VFA) T(1) mapping was considered that provides 1 × 1 × 2 mm(3) resolution to match a recent high‐resolution whole‐brain DCE‐MRI protocol. Seven FAs were logarithmically spaced from 1.5° to 15°. T(1) and M(0) maps were estimated using model‐based reconstruction. This approach was evaluated using an anatomically realistic brain tumor digital reference object (DRO) with noise‐mimicking 3T neuroimaging and fully sampled data acquired from one healthy volunteer. Methods were also applied on fourfold prospectively undersampled VFA data from 13 patients with high‐grade gliomas. RESULTS: T(1)‐mapping precision decreased with undersampling factor R, althoughwhereas bias remained small before a critical R. In the noiseless DRO, T(1) bias was <25 ms in white matter (WM) and <11 ms in brain tumor (BT). T(1) standard deviation (SD) was <119.5 ms in WM (coefficient of variation [COV] ~11.0%) and <253.2 ms in BT (COV ~12.7%). In the noisy DRO, T(1) bias was <50 ms in WM and <30 ms in BT. For R ≤ 10, T(1) SD was <107.1 ms in WM (COV ~9.9%) and <240.9 ms in BT (COV ~12.1%). In the healthy subject, T(1) bias was <30 ms for R ≤ 16. At R = 4, T(1) SD was 171.4 ms (COV ~13.0%). In the prospective brain tumor study, T(1) values were consistent with literature values in WM and BT. CONCLUSION: High‐resolution whole‐brain VFA T(1) mapping is feasible with sparse sampling, supporting its use for quantitative DCE‐MRI. John Wiley and Sons Inc. 2021-05-25 2021-10 /pmc/articles/PMC8362109/ /pubmed/34036658 http://dx.doi.org/10.1002/mrm.28849 Text en © 2021 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles—Computer Processing and Modeling Zhu, Zhibo Lebel, R. Marc Bliesener, Yannick Acharya, Jay Frayne, Richard Nayak, Krishna S. Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI |
title | Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI |
title_full | Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI |
title_fullStr | Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI |
title_full_unstemmed | Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI |
title_short | Sparse precontrast T(1) mapping for high‐resolution whole‐brain DCE‐MRI |
title_sort | sparse precontrast t(1) mapping for high‐resolution whole‐brain dce‐mri |
topic | Research Articles—Computer Processing and Modeling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8362109/ https://www.ncbi.nlm.nih.gov/pubmed/34036658 http://dx.doi.org/10.1002/mrm.28849 |
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