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Robust free-breathing SASHA T(1) mapping with high-contrast image registration

BACKGROUND: Many widely used myocardial T(1) mapping sequences use breath-hold acquisitions that limit the precision of calculated T(1) maps. The SAturation-recovery single-SHot Acquisition (SASHA) sequence has high accuracy with robustness against systematic confounders, but has poorer precision co...

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Autores principales: Chow, Kelvin, Yang, Yang, Shaw, Peter, Kramer, Christopher M., Salerno, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989502/
https://www.ncbi.nlm.nih.gov/pubmed/27535744
http://dx.doi.org/10.1186/s12968-016-0267-9
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author Chow, Kelvin
Yang, Yang
Shaw, Peter
Kramer, Christopher M.
Salerno, Michael
author_facet Chow, Kelvin
Yang, Yang
Shaw, Peter
Kramer, Christopher M.
Salerno, Michael
author_sort Chow, Kelvin
collection PubMed
description BACKGROUND: Many widely used myocardial T(1) mapping sequences use breath-hold acquisitions that limit the precision of calculated T(1) maps. The SAturation-recovery single-SHot Acquisition (SASHA) sequence has high accuracy with robustness against systematic confounders, but has poorer precision compared to the commonly used MOdified Look-Locker Inversion recovery (MOLLI) sequence. We propose a novel method for generating high-contrast SASHA images to enable a robust image registration approach to free-breathing T(1) mapping with high accuracy and precision. METHODS: High-contrast (HC) images were acquired in addition to primary variable flip angle (VFA) SASHA images by collecting an additional 15 k-space lines and sharing k-space data with the primary image. The number of free-breathing images and their saturation recovery times were optimized through numerical simulations. Accuracy and precision of T(1) maps using the proposed SASHA-HC sequence was compared in 10 volunteers at 1.5 T to MOLLI, a breath-hold SASHA-VFA sequence, and free-breathing SASHA-VFA data processed using conventional navigator gating and standard image registration. Free-breathing T(1) maps from 15 patients and 10 volunteers were graded by blinded observers for sharpness and artifacts. RESULTS: Difference images calculated by subtracting HC and primary SASHA images had greater tissue-blood contrast than the primary images alone, with a 3× improvement for 700 ms TS saturation recovery images and a 6× increase in tissue-blood contrast for non-saturated images. Myocardial T(1)s calculated in volunteers with free-breathing SASHA-HC were similar to standard breath-hold SASHA-VFA (1156.1 ± 28.1 ms vs 1149.4 ± 26.5 ms, p >0.05). The standard deviation of myocardial T(1) values using a 108 s free-breathing SASHA-HC (36.2 ± 3.1 ms) was 50 % lower (p <0.01) than breath-hold SASHA-VFA (72.7 ± 8.0 ms) and 34 % lower (p <0.01) than breath-hold MOLLI (54.7 ± 5.9 ms). T(1) map quality scores in volunteers were higher with SASHA-HC (4.7 ± 0.3 out of 5) than navigator gating (3.6 ± 0.4, p <0.01) or normal registration (3.7 ± 0.4, p <0.01). SASHA-HC T(1) maps had comparable precision to breath-hold MOLLI using a retrospectively down-sampled 30 s free-breathing acquisition and 30 % higher precision with a 60 s acquisition. CONCLUSIONS: High-contrast SASHA images enable a robust image registration approach to free-breathing T(1) mapping. Free-breathing SASHA-HC provides accurate T(1) maps with higher precision than MOLLI in acquisitions longer than 30 s. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12968-016-0267-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-49895022016-08-19 Robust free-breathing SASHA T(1) mapping with high-contrast image registration Chow, Kelvin Yang, Yang Shaw, Peter Kramer, Christopher M. Salerno, Michael J Cardiovasc Magn Reson Research BACKGROUND: Many widely used myocardial T(1) mapping sequences use breath-hold acquisitions that limit the precision of calculated T(1) maps. The SAturation-recovery single-SHot Acquisition (SASHA) sequence has high accuracy with robustness against systematic confounders, but has poorer precision compared to the commonly used MOdified Look-Locker Inversion recovery (MOLLI) sequence. We propose a novel method for generating high-contrast SASHA images to enable a robust image registration approach to free-breathing T(1) mapping with high accuracy and precision. METHODS: High-contrast (HC) images were acquired in addition to primary variable flip angle (VFA) SASHA images by collecting an additional 15 k-space lines and sharing k-space data with the primary image. The number of free-breathing images and their saturation recovery times were optimized through numerical simulations. Accuracy and precision of T(1) maps using the proposed SASHA-HC sequence was compared in 10 volunteers at 1.5 T to MOLLI, a breath-hold SASHA-VFA sequence, and free-breathing SASHA-VFA data processed using conventional navigator gating and standard image registration. Free-breathing T(1) maps from 15 patients and 10 volunteers were graded by blinded observers for sharpness and artifacts. RESULTS: Difference images calculated by subtracting HC and primary SASHA images had greater tissue-blood contrast than the primary images alone, with a 3× improvement for 700 ms TS saturation recovery images and a 6× increase in tissue-blood contrast for non-saturated images. Myocardial T(1)s calculated in volunteers with free-breathing SASHA-HC were similar to standard breath-hold SASHA-VFA (1156.1 ± 28.1 ms vs 1149.4 ± 26.5 ms, p >0.05). The standard deviation of myocardial T(1) values using a 108 s free-breathing SASHA-HC (36.2 ± 3.1 ms) was 50 % lower (p <0.01) than breath-hold SASHA-VFA (72.7 ± 8.0 ms) and 34 % lower (p <0.01) than breath-hold MOLLI (54.7 ± 5.9 ms). T(1) map quality scores in volunteers were higher with SASHA-HC (4.7 ± 0.3 out of 5) than navigator gating (3.6 ± 0.4, p <0.01) or normal registration (3.7 ± 0.4, p <0.01). SASHA-HC T(1) maps had comparable precision to breath-hold MOLLI using a retrospectively down-sampled 30 s free-breathing acquisition and 30 % higher precision with a 60 s acquisition. CONCLUSIONS: High-contrast SASHA images enable a robust image registration approach to free-breathing T(1) mapping. Free-breathing SASHA-HC provides accurate T(1) maps with higher precision than MOLLI in acquisitions longer than 30 s. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12968-016-0267-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-17 /pmc/articles/PMC4989502/ /pubmed/27535744 http://dx.doi.org/10.1186/s12968-016-0267-9 Text en © The Author(s). 2016 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
Chow, Kelvin
Yang, Yang
Shaw, Peter
Kramer, Christopher M.
Salerno, Michael
Robust free-breathing SASHA T(1) mapping with high-contrast image registration
title Robust free-breathing SASHA T(1) mapping with high-contrast image registration
title_full Robust free-breathing SASHA T(1) mapping with high-contrast image registration
title_fullStr Robust free-breathing SASHA T(1) mapping with high-contrast image registration
title_full_unstemmed Robust free-breathing SASHA T(1) mapping with high-contrast image registration
title_short Robust free-breathing SASHA T(1) mapping with high-contrast image registration
title_sort robust free-breathing sasha t(1) mapping with high-contrast image registration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4989502/
https://www.ncbi.nlm.nih.gov/pubmed/27535744
http://dx.doi.org/10.1186/s12968-016-0267-9
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