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Water–fat Dixon cardiac magnetic resonance fingerprinting
PURPOSE: Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to simultaneously provide T(1), T(2), and M(0) maps. Here, we develop a 3‐point Dixon‐cMRF approach to enable simultaneous water specific T(1), T(2), and M(0) mapping of the heart and fat fraction (FF) estimation...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064906/ https://www.ncbi.nlm.nih.gov/pubmed/31736146 http://dx.doi.org/10.1002/mrm.28070 |
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author | Jaubert, Olivier Cruz, Gastão Bustin, Aurélien Schneider, Torben Lavin, Begoña Koken, Peter Hajhosseiny, Reza Doneva, Mariya Rueckert, Daniel Botnar, René M. Prieto, Claudia |
author_facet | Jaubert, Olivier Cruz, Gastão Bustin, Aurélien Schneider, Torben Lavin, Begoña Koken, Peter Hajhosseiny, Reza Doneva, Mariya Rueckert, Daniel Botnar, René M. Prieto, Claudia |
author_sort | Jaubert, Olivier |
collection | PubMed |
description | PURPOSE: Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to simultaneously provide T(1), T(2), and M(0) maps. Here, we develop a 3‐point Dixon‐cMRF approach to enable simultaneous water specific T(1), T(2), and M(0) mapping of the heart and fat fraction (FF) estimation in a single breath‐hold scan. METHODS: Dixon‐cMRF is achieved by combining cMRF with several innovations that were previously introduced for other applications, including a 3‐echo GRE acquisition with golden angle radial readout and a high‐dimensional low‐rank tensor constrained reconstruction to recover the highly undersampled time series images for each echo. Water–fat separation of the Dixon‐cMRF time series is performed to allow for water‐ and fat‐specific T(1), T(2), and M(0) estimation, whereas FF estimation is extracted from the M(0) maps. Dixon‐cMRF was evaluated in a standardized T(1)–T(2) phantom, in a water–fat phantom, and in healthy subjects in comparison to current clinical standards: MOLLI, SASHA, T(2)‐GRASE, and 6‐point Dixon proton density FF (PDFF) mapping. RESULTS: Dixon‐cMRF water T(1) and T(2) maps showed good agreement with reference T(1) and T(2) mapping techniques (R(2) > 0.99 and maximum normalized RMSE ~5%) in a standardized phantom. Good agreement was also observed between Dixon‐cMRF FF and reference PDFF (R(2) > 0.99) and between Dixon‐cMRF water T(1) and T(2) and water selective T(1) and T(2) maps (R(2) > 0.99) in a water–fat phantom. In vivo Dixon‐cMRF water T(1) values were in good agreement with MOLLI and water T(2) values were slightly underestimated when compared to T(2)‐GRASE. Average myocardium septal T(1) values were 1129 ± 38 ms, 1026 ± 28 ms, and 1045 ± 32 ms for SASHA, MOLLI, and the proposed water Dixon‐cMRF. Average T(2) values were 51.7 ± 2.2 ms and 42.8 ± 2.6 ms for T(2)‐GRASE and water Dixon‐cMRF, respectively. Dixon‐cMRF FF maps showed good agreement with in vivo PDFF measurements (R(2) > 0.98) and average FF in the septum was measured at 1.3%. CONCLUSION: The proposed Dixon‐cMRF allows to simultaneously quantify myocardial water T(1), water T(2), and FF in a single breath‐hold scan, enabling multi‐parametric T(1), T(2), and fat characterization. Moreover, reduced T(1) and T(2) quantification bias caused by water–fat partial volume was demonstrated in phantom experiments. |
format | Online Article Text |
id | pubmed-7064906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70649062020-03-16 Water–fat Dixon cardiac magnetic resonance fingerprinting Jaubert, Olivier Cruz, Gastão Bustin, Aurélien Schneider, Torben Lavin, Begoña Koken, Peter Hajhosseiny, Reza Doneva, Mariya Rueckert, Daniel Botnar, René M. Prieto, Claudia Magn Reson Med Full Papers—Imaging Methodology PURPOSE: Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to simultaneously provide T(1), T(2), and M(0) maps. Here, we develop a 3‐point Dixon‐cMRF approach to enable simultaneous water specific T(1), T(2), and M(0) mapping of the heart and fat fraction (FF) estimation in a single breath‐hold scan. METHODS: Dixon‐cMRF is achieved by combining cMRF with several innovations that were previously introduced for other applications, including a 3‐echo GRE acquisition with golden angle radial readout and a high‐dimensional low‐rank tensor constrained reconstruction to recover the highly undersampled time series images for each echo. Water–fat separation of the Dixon‐cMRF time series is performed to allow for water‐ and fat‐specific T(1), T(2), and M(0) estimation, whereas FF estimation is extracted from the M(0) maps. Dixon‐cMRF was evaluated in a standardized T(1)–T(2) phantom, in a water–fat phantom, and in healthy subjects in comparison to current clinical standards: MOLLI, SASHA, T(2)‐GRASE, and 6‐point Dixon proton density FF (PDFF) mapping. RESULTS: Dixon‐cMRF water T(1) and T(2) maps showed good agreement with reference T(1) and T(2) mapping techniques (R(2) > 0.99 and maximum normalized RMSE ~5%) in a standardized phantom. Good agreement was also observed between Dixon‐cMRF FF and reference PDFF (R(2) > 0.99) and between Dixon‐cMRF water T(1) and T(2) and water selective T(1) and T(2) maps (R(2) > 0.99) in a water–fat phantom. In vivo Dixon‐cMRF water T(1) values were in good agreement with MOLLI and water T(2) values were slightly underestimated when compared to T(2)‐GRASE. Average myocardium septal T(1) values were 1129 ± 38 ms, 1026 ± 28 ms, and 1045 ± 32 ms for SASHA, MOLLI, and the proposed water Dixon‐cMRF. Average T(2) values were 51.7 ± 2.2 ms and 42.8 ± 2.6 ms for T(2)‐GRASE and water Dixon‐cMRF, respectively. Dixon‐cMRF FF maps showed good agreement with in vivo PDFF measurements (R(2) > 0.98) and average FF in the septum was measured at 1.3%. CONCLUSION: The proposed Dixon‐cMRF allows to simultaneously quantify myocardial water T(1), water T(2), and FF in a single breath‐hold scan, enabling multi‐parametric T(1), T(2), and fat characterization. Moreover, reduced T(1) and T(2) quantification bias caused by water–fat partial volume was demonstrated in phantom experiments. John Wiley and Sons Inc. 2019-11-18 2020-06 /pmc/articles/PMC7064906/ /pubmed/31736146 http://dx.doi.org/10.1002/mrm.28070 Text en © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers—Imaging Methodology Jaubert, Olivier Cruz, Gastão Bustin, Aurélien Schneider, Torben Lavin, Begoña Koken, Peter Hajhosseiny, Reza Doneva, Mariya Rueckert, Daniel Botnar, René M. Prieto, Claudia Water–fat Dixon cardiac magnetic resonance fingerprinting |
title | Water–fat Dixon cardiac magnetic resonance fingerprinting |
title_full | Water–fat Dixon cardiac magnetic resonance fingerprinting |
title_fullStr | Water–fat Dixon cardiac magnetic resonance fingerprinting |
title_full_unstemmed | Water–fat Dixon cardiac magnetic resonance fingerprinting |
title_short | Water–fat Dixon cardiac magnetic resonance fingerprinting |
title_sort | water–fat dixon cardiac magnetic resonance fingerprinting |
topic | Full Papers—Imaging Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064906/ https://www.ncbi.nlm.nih.gov/pubmed/31736146 http://dx.doi.org/10.1002/mrm.28070 |
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