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Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping

The goal of this work is to extend prior work on cardiac MR Fingerprinting (cMRF) using rosette k-space trajectories to enable simultaneous T(1), T(2), and proton density fat fraction (PDFF) mapping in the heart. A rosette trajectory designed for water-fat separation at 1.5T was used in a 2D ECG-tri...

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Autores principales: Liu, Yuchi, Hamilton, Jesse, Jiang, Yun, Seiberlich, Nicole
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530568/
https://www.ncbi.nlm.nih.gov/pubmed/36204572
http://dx.doi.org/10.3389/fcvm.2022.977603
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author Liu, Yuchi
Hamilton, Jesse
Jiang, Yun
Seiberlich, Nicole
author_facet Liu, Yuchi
Hamilton, Jesse
Jiang, Yun
Seiberlich, Nicole
author_sort Liu, Yuchi
collection PubMed
description The goal of this work is to extend prior work on cardiac MR Fingerprinting (cMRF) using rosette k-space trajectories to enable simultaneous T(1), T(2), and proton density fat fraction (PDFF) mapping in the heart. A rosette trajectory designed for water-fat separation at 1.5T was used in a 2D ECG-triggered 15-heartbeat cMRF sequence. Water and fat specific T(1) and T(2) maps were generated from the cMRF data. A PDFF map was also retrieved using Hierarchical IDEAL by segmenting the rosette cMRF data into multiple echoes. The accuracy of rosette cMRF in T(1), T(2), and PDFF quantification was validated in the ISMRM/NIST phantom and an in-house built fat fraction phantom, respectively. The proposed method was also applied for myocardial tissue mapping of healthy subjects and cardiac patients at 1.5T. T(1), T(2), and PDFF values measured using rosette cMRF in the ISMRM/NIST phantom and the fat fraction phantom agreed well with the reference values. In 16 healthy subjects, rosette cMRF yielded T(1) values which were 80~90 ms higher than spiral cMRF and MOLLI. T(2) values obtained using rosette cMRF were ~3 ms higher than spiral cMRF and ~5 ms lower than conventional T(2)-prep bSSFP method. Rosette cMRF was also able to detect abnormal T(1) and T(2) values in cardiomyopathy patients and may provide more accurate maps due to effective fat suppression. In conclusion, this study shows that rosette cMRF has the potential for efficient cardiac tissue characterization through simultaneous quantification of myocardial T(1), T(2), and PDFF.
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spelling pubmed-95305682022-10-05 Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping Liu, Yuchi Hamilton, Jesse Jiang, Yun Seiberlich, Nicole Front Cardiovasc Med Cardiovascular Medicine The goal of this work is to extend prior work on cardiac MR Fingerprinting (cMRF) using rosette k-space trajectories to enable simultaneous T(1), T(2), and proton density fat fraction (PDFF) mapping in the heart. A rosette trajectory designed for water-fat separation at 1.5T was used in a 2D ECG-triggered 15-heartbeat cMRF sequence. Water and fat specific T(1) and T(2) maps were generated from the cMRF data. A PDFF map was also retrieved using Hierarchical IDEAL by segmenting the rosette cMRF data into multiple echoes. The accuracy of rosette cMRF in T(1), T(2), and PDFF quantification was validated in the ISMRM/NIST phantom and an in-house built fat fraction phantom, respectively. The proposed method was also applied for myocardial tissue mapping of healthy subjects and cardiac patients at 1.5T. T(1), T(2), and PDFF values measured using rosette cMRF in the ISMRM/NIST phantom and the fat fraction phantom agreed well with the reference values. In 16 healthy subjects, rosette cMRF yielded T(1) values which were 80~90 ms higher than spiral cMRF and MOLLI. T(2) values obtained using rosette cMRF were ~3 ms higher than spiral cMRF and ~5 ms lower than conventional T(2)-prep bSSFP method. Rosette cMRF was also able to detect abnormal T(1) and T(2) values in cardiomyopathy patients and may provide more accurate maps due to effective fat suppression. In conclusion, this study shows that rosette cMRF has the potential for efficient cardiac tissue characterization through simultaneous quantification of myocardial T(1), T(2), and PDFF. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9530568/ /pubmed/36204572 http://dx.doi.org/10.3389/fcvm.2022.977603 Text en Copyright © 2022 Liu, Hamilton, Jiang and Seiberlich. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cardiovascular Medicine
Liu, Yuchi
Hamilton, Jesse
Jiang, Yun
Seiberlich, Nicole
Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping
title Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping
title_full Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping
title_fullStr Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping
title_full_unstemmed Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping
title_short Cardiac MRF using rosette trajectories for simultaneous myocardial T(1), T(2), and proton density fat fraction mapping
title_sort cardiac mrf using rosette trajectories for simultaneous myocardial t(1), t(2), and proton density fat fraction mapping
topic Cardiovascular Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530568/
https://www.ncbi.nlm.nih.gov/pubmed/36204572
http://dx.doi.org/10.3389/fcvm.2022.977603
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