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Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation

PURPOSE: To combine a 3D saturation‐recovery‐based myocardial T(1) mapping (3D SASHA) sequence with a 2D image navigator with fat excitation (fat‐iNAV) to allow 3D T(1) maps with 100% respiratory scan efficiency and predictable scan time. METHODS: Data from T(1) phantom and 10 subjects were acquired...

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Autores principales: Nordio, Giovanna, Schneider, Torben, Cruz, Gastao, Correia, Teresa, Bustin, Aurelien, Prieto, Claudia, Botnar, René M., Henningsson, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791811/
https://www.ncbi.nlm.nih.gov/pubmed/31400054
http://dx.doi.org/10.1002/mrm.27919
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author Nordio, Giovanna
Schneider, Torben
Cruz, Gastao
Correia, Teresa
Bustin, Aurelien
Prieto, Claudia
Botnar, René M.
Henningsson, Markus
author_facet Nordio, Giovanna
Schneider, Torben
Cruz, Gastao
Correia, Teresa
Bustin, Aurelien
Prieto, Claudia
Botnar, René M.
Henningsson, Markus
author_sort Nordio, Giovanna
collection PubMed
description PURPOSE: To combine a 3D saturation‐recovery‐based myocardial T(1) mapping (3D SASHA) sequence with a 2D image navigator with fat excitation (fat‐iNAV) to allow 3D T(1) maps with 100% respiratory scan efficiency and predictable scan time. METHODS: Data from T(1) phantom and 10 subjects were acquired at 1.5T. For respiratory motion compensation, a 2D fat‐iNAV was acquired before each 3D SASHA k‐space segment to correct for 2D translational motion in a beat‐to‐beat fashion. The effect of the fat‐iNAV on the 3D SASHA T1 estimation was evaluated on the T(1) phantom. For 3 representative subjects, the proposed free‐breathing 3D SASHA with fat‐iNAV was compared to the original implementation with the diaphragmatic navigator. The 3D SASHA with fat‐iNAV was compared to the breath‐hold 2D SASHA sequence in terms of accuracy and precision. RESULTS: In the phantom study, the Bland‐Altman plot shows that the 2D fat‐iNAVs does not affect the T(1) quantification of the 3D SASHA acquisition (0 ± 12.5 ms). For the in vivo study, the 2D fat‐iNAV permits to estimate the respiratory motion of the heart, while allowing for 100% scan efficiency, improving the precision of the T(1) measurement compared to non‐motion‐corrected 3D SASHA. However, the image quality achieved with the proposed 3D SASHA with fat‐iNAV is lower compared to the original implementation, with reduced delineation of the myocardial borders and papillary muscles. CONCLUSIONS: We demonstrate the feasibility to combine the 3D SASHA T(1) mapping imaging sequence with a 2D fat‐iNAV for respiratory motion compensation, allowing 100% respiratory scan efficiency and predictable scan time.
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spelling pubmed-67918112019-11-22 Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation Nordio, Giovanna Schneider, Torben Cruz, Gastao Correia, Teresa Bustin, Aurelien Prieto, Claudia Botnar, René M. Henningsson, Markus Magn Reson Med Notes—Imaging Methodology PURPOSE: To combine a 3D saturation‐recovery‐based myocardial T(1) mapping (3D SASHA) sequence with a 2D image navigator with fat excitation (fat‐iNAV) to allow 3D T(1) maps with 100% respiratory scan efficiency and predictable scan time. METHODS: Data from T(1) phantom and 10 subjects were acquired at 1.5T. For respiratory motion compensation, a 2D fat‐iNAV was acquired before each 3D SASHA k‐space segment to correct for 2D translational motion in a beat‐to‐beat fashion. The effect of the fat‐iNAV on the 3D SASHA T1 estimation was evaluated on the T(1) phantom. For 3 representative subjects, the proposed free‐breathing 3D SASHA with fat‐iNAV was compared to the original implementation with the diaphragmatic navigator. The 3D SASHA with fat‐iNAV was compared to the breath‐hold 2D SASHA sequence in terms of accuracy and precision. RESULTS: In the phantom study, the Bland‐Altman plot shows that the 2D fat‐iNAVs does not affect the T(1) quantification of the 3D SASHA acquisition (0 ± 12.5 ms). For the in vivo study, the 2D fat‐iNAV permits to estimate the respiratory motion of the heart, while allowing for 100% scan efficiency, improving the precision of the T(1) measurement compared to non‐motion‐corrected 3D SASHA. However, the image quality achieved with the proposed 3D SASHA with fat‐iNAV is lower compared to the original implementation, with reduced delineation of the myocardial borders and papillary muscles. CONCLUSIONS: We demonstrate the feasibility to combine the 3D SASHA T(1) mapping imaging sequence with a 2D fat‐iNAV for respiratory motion compensation, allowing 100% respiratory scan efficiency and predictable scan time. John Wiley and Sons Inc. 2019-08-09 2020-01 /pmc/articles/PMC6791811/ /pubmed/31400054 http://dx.doi.org/10.1002/mrm.27919 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 Notes—Imaging Methodology
Nordio, Giovanna
Schneider, Torben
Cruz, Gastao
Correia, Teresa
Bustin, Aurelien
Prieto, Claudia
Botnar, René M.
Henningsson, Markus
Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation
title Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation
title_full Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation
title_fullStr Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation
title_full_unstemmed Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation
title_short Whole‐heart T(1) mapping using a 2D fat image navigator for respiratory motion compensation
title_sort whole‐heart t(1) mapping using a 2d fat image navigator for respiratory motion compensation
topic Notes—Imaging Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6791811/
https://www.ncbi.nlm.nih.gov/pubmed/31400054
http://dx.doi.org/10.1002/mrm.27919
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