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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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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. |
format | Online Article Text |
id | pubmed-4977731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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