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Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software

BACKGROUND: Determination of the relaxation time constants T1 and T2 with quantitative magnetic resonance imaging is increasingly used for both research and clinical practice. Recently, groups have been formed within the Society of Cardiovascular Magnetic Resonance to address issues with relaxometry...

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Autores principales: Bidhult, Sebastian, Kantasis, George, Aletras, Anthony H., Arheden, Håkan, Heiberg, Einar, Hedström, Erik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977731/
https://www.ncbi.nlm.nih.gov/pubmed/27501697
http://dx.doi.org/10.1186/s12880-016-0148-6
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author Bidhult, Sebastian
Kantasis, George
Aletras, Anthony H.
Arheden, Håkan
Heiberg, Einar
Hedström, Erik
author_facet Bidhult, Sebastian
Kantasis, George
Aletras, Anthony H.
Arheden, Håkan
Heiberg, Einar
Hedström, Erik
author_sort Bidhult, Sebastian
collection PubMed
description BACKGROUND: Determination of the relaxation time constants T1 and T2 with quantitative magnetic resonance imaging is increasingly used for both research and clinical practice. Recently, groups have been formed within the Society of Cardiovascular Magnetic Resonance to address issues with relaxometry. However, so far they have avoided specific recommendations on methodology due to lack of consensus and current evolving research. Standardised widely available software may simplify this process. The purpose of the current study was to develop and validate vendor-independent T1 and T2 mapping modules and implement those in the versatile and widespread software Segment, freely available for research and FDA approved for clinical applications. RESULTS: The T1 and T2 mapping modules were developed and validated in phantoms at 1.5 T and 3 T with reference standard values calculated from reference pulse sequences using the Nelder-Mead Simplex optimisation method. The proposed modules support current commonly available MRI pulse sequences and both 2- and 3-parameter curve fitting. Images acquired in patients using three major vendors showed vendor-independence. Bias and variability showed high agreement with T1 and T2 reference standards for T1 (range 214–1752 ms) and T2 (range 45–338 ms), respectively. CONCLUSIONS: The developed and validated T1 and T2 mapping and quantification modules generated relaxation maps from current commonly used MRI sequences and multiple signal models. Patient applications showed usability for three major vendors.
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spelling pubmed-49777312016-08-10 Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software Bidhult, Sebastian Kantasis, George Aletras, Anthony H. Arheden, Håkan Heiberg, Einar Hedström, Erik BMC Med Imaging Software BACKGROUND: Determination of the relaxation time constants T1 and T2 with quantitative magnetic resonance imaging is increasingly used for both research and clinical practice. Recently, groups have been formed within the Society of Cardiovascular Magnetic Resonance to address issues with relaxometry. However, so far they have avoided specific recommendations on methodology due to lack of consensus and current evolving research. Standardised widely available software may simplify this process. The purpose of the current study was to develop and validate vendor-independent T1 and T2 mapping modules and implement those in the versatile and widespread software Segment, freely available for research and FDA approved for clinical applications. RESULTS: The T1 and T2 mapping modules were developed and validated in phantoms at 1.5 T and 3 T with reference standard values calculated from reference pulse sequences using the Nelder-Mead Simplex optimisation method. The proposed modules support current commonly available MRI pulse sequences and both 2- and 3-parameter curve fitting. Images acquired in patients using three major vendors showed vendor-independence. Bias and variability showed high agreement with T1 and T2 reference standards for T1 (range 214–1752 ms) and T2 (range 45–338 ms), respectively. CONCLUSIONS: The developed and validated T1 and T2 mapping and quantification modules generated relaxation maps from current commonly used MRI sequences and multiple signal models. Patient applications showed usability for three major vendors. BioMed Central 2016-08-08 /pmc/articles/PMC4977731/ /pubmed/27501697 http://dx.doi.org/10.1186/s12880-016-0148-6 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 Software
Bidhult, Sebastian
Kantasis, George
Aletras, Anthony H.
Arheden, Håkan
Heiberg, Einar
Hedström, Erik
Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software
title Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software
title_full Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software
title_fullStr Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software
title_full_unstemmed Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software
title_short Validation of T1 and T2 algorithms for quantitative MRI: performance by a vendor-independent software
title_sort validation of t1 and t2 algorithms for quantitative mri: performance by a vendor-independent software
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4977731/
https://www.ncbi.nlm.nih.gov/pubmed/27501697
http://dx.doi.org/10.1186/s12880-016-0148-6
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