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Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction
BACKGROUND: Measurement of myocardial T2* is becoming widely used in the assessment of patients at risk for cardiac iron overload. The conventional breath-hold, ECG-triggered, segmented, multi-echo gradient echo (MGRE) sequence used for myocardial T2* quantification is very sensitive to respiratory...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690363/ https://www.ncbi.nlm.nih.gov/pubmed/26699850 http://dx.doi.org/10.1186/s12968-015-0216-z |
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author | Jin, Ning da Silveira, Juliana Serafim Jolly, Marie-Pierre Firmin, David N. Mathew, George Lamba, Nathan Subramanian, Sharath Pennell, Dudley J. Raman, Subha V. Simonetti, Orlando P. |
author_facet | Jin, Ning da Silveira, Juliana Serafim Jolly, Marie-Pierre Firmin, David N. Mathew, George Lamba, Nathan Subramanian, Sharath Pennell, Dudley J. Raman, Subha V. Simonetti, Orlando P. |
author_sort | Jin, Ning |
collection | PubMed |
description | BACKGROUND: Measurement of myocardial T2* is becoming widely used in the assessment of patients at risk for cardiac iron overload. The conventional breath-hold, ECG-triggered, segmented, multi-echo gradient echo (MGRE) sequence used for myocardial T2* quantification is very sensitive to respiratory motion and may not be feasible in patients who are unable to breath-hold. We propose a free-breathing myocardial T2* mapping approach that combines a single-shot gradient-echo echo-planar imaging (GRE-EPI) sequence for T2*-weighted image acquisition with automatic non-rigid motion correction (MOCO) of respiratory motion between single-shot images. METHODS: ECG-triggered T2*-weighted images at different echo times were acquired by a black-blood, single-shot GRE-EPI sequence during free-breathing. A single image at a single TE is acquired in each heartbeat. Automatic non-rigid MOCO was applied to correct for in-plane respiratory motion before pixel-wise T2* mapping. In a total of 117 patients referred for clinical cardiac magnetic resonance exams, the free-breathing MOCO GRE-EPI sequence was compared to the breath-hold segmented MGRE approach. Image quality was scored independently by 2 experienced observers blinded to the particular image acquisition strategy. T2* measurements in the interventricular septum and in the liver were compared for the two methods in all cases with adequate image quality. RESULTS: T2* maps were acquired in all 117 patients using the breath-hold MGRE and the free-breathing MOCO GRE-EPI approaches, including 8 patients with myocardial iron overload and 25 patients with hepatic iron overload. The mean image quality of the free-breathing MOCO GRE-EPI images was scored significantly higher than that of the breath-hold MGRE images by both reviewers. Out of the 117 studies, 21 breath-hold MGRE studies (17.9 % of all the patients) were scored to be less than adequate or very poor by both reviewers, while only 2 free-breathing MOCO GRE-EPI studies were scored to be less than adequate image quality. In a comparative evaluation of the images with at least adequate quality, the intra-class correlation coefficients for myocardial and liver T2* were 0.868 and 0.986 respectively (p < 0.001), indicating that the T2* measured by breath-hold MGRE and free-breathing MOCO GRE-EPI were in close agreement. The coefficient of variation between the breath-hold and free-breathing approaches for myocardial and liver T2* were 9.88 % and 9.38 % respectively. Bland-Altman plots demonstrated good absolute agreement of T2* in the interventricular septum and the liver from the free-breathing and breath-hold approaches (mean differences -0.03 and 0.16 ms, respectively). CONCLUSION: The free-breathing approach described for T2* mapping using MOCO GRE-EPI enables accurate myocardial and liver T2* measurements and is insensitive to respiratory motion. |
format | Online Article Text |
id | pubmed-4690363 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46903632016-01-12 Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction Jin, Ning da Silveira, Juliana Serafim Jolly, Marie-Pierre Firmin, David N. Mathew, George Lamba, Nathan Subramanian, Sharath Pennell, Dudley J. Raman, Subha V. Simonetti, Orlando P. J Cardiovasc Magn Reson Research BACKGROUND: Measurement of myocardial T2* is becoming widely used in the assessment of patients at risk for cardiac iron overload. The conventional breath-hold, ECG-triggered, segmented, multi-echo gradient echo (MGRE) sequence used for myocardial T2* quantification is very sensitive to respiratory motion and may not be feasible in patients who are unable to breath-hold. We propose a free-breathing myocardial T2* mapping approach that combines a single-shot gradient-echo echo-planar imaging (GRE-EPI) sequence for T2*-weighted image acquisition with automatic non-rigid motion correction (MOCO) of respiratory motion between single-shot images. METHODS: ECG-triggered T2*-weighted images at different echo times were acquired by a black-blood, single-shot GRE-EPI sequence during free-breathing. A single image at a single TE is acquired in each heartbeat. Automatic non-rigid MOCO was applied to correct for in-plane respiratory motion before pixel-wise T2* mapping. In a total of 117 patients referred for clinical cardiac magnetic resonance exams, the free-breathing MOCO GRE-EPI sequence was compared to the breath-hold segmented MGRE approach. Image quality was scored independently by 2 experienced observers blinded to the particular image acquisition strategy. T2* measurements in the interventricular septum and in the liver were compared for the two methods in all cases with adequate image quality. RESULTS: T2* maps were acquired in all 117 patients using the breath-hold MGRE and the free-breathing MOCO GRE-EPI approaches, including 8 patients with myocardial iron overload and 25 patients with hepatic iron overload. The mean image quality of the free-breathing MOCO GRE-EPI images was scored significantly higher than that of the breath-hold MGRE images by both reviewers. Out of the 117 studies, 21 breath-hold MGRE studies (17.9 % of all the patients) were scored to be less than adequate or very poor by both reviewers, while only 2 free-breathing MOCO GRE-EPI studies were scored to be less than adequate image quality. In a comparative evaluation of the images with at least adequate quality, the intra-class correlation coefficients for myocardial and liver T2* were 0.868 and 0.986 respectively (p < 0.001), indicating that the T2* measured by breath-hold MGRE and free-breathing MOCO GRE-EPI were in close agreement. The coefficient of variation between the breath-hold and free-breathing approaches for myocardial and liver T2* were 9.88 % and 9.38 % respectively. Bland-Altman plots demonstrated good absolute agreement of T2* in the interventricular septum and the liver from the free-breathing and breath-hold approaches (mean differences -0.03 and 0.16 ms, respectively). CONCLUSION: The free-breathing approach described for T2* mapping using MOCO GRE-EPI enables accurate myocardial and liver T2* measurements and is insensitive to respiratory motion. BioMed Central 2015-12-23 /pmc/articles/PMC4690363/ /pubmed/26699850 http://dx.doi.org/10.1186/s12968-015-0216-z Text en © Jin et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Jin, Ning da Silveira, Juliana Serafim Jolly, Marie-Pierre Firmin, David N. Mathew, George Lamba, Nathan Subramanian, Sharath Pennell, Dudley J. Raman, Subha V. Simonetti, Orlando P. Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction |
title | Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction |
title_full | Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction |
title_fullStr | Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction |
title_full_unstemmed | Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction |
title_short | Free-breathing myocardial T2* mapping using GRE-EPI and automatic Non-rigid motion correction |
title_sort | free-breathing myocardial t2* mapping using gre-epi and automatic non-rigid motion correction |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690363/ https://www.ncbi.nlm.nih.gov/pubmed/26699850 http://dx.doi.org/10.1186/s12968-015-0216-z |
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