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From signal-based to comprehensive magnetic resonance imaging
We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T(1), T(2)) and proton dens...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390767/ https://www.ncbi.nlm.nih.gov/pubmed/34446804 http://dx.doi.org/10.1038/s41598-021-96791-w |
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author | Kotek, Gyula Nunez-Gonzalez, Laura Vogel, Mika W. Krestin, Gabriel P. Poot, Dirk H. J. Hernandez-Tamames, Juan A. |
author_facet | Kotek, Gyula Nunez-Gonzalez, Laura Vogel, Mika W. Krestin, Gabriel P. Poot, Dirk H. J. Hernandez-Tamames, Juan A. |
author_sort | Kotek, Gyula |
collection | PubMed |
description | We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T(1), T(2)) and proton density (PD) and experimental conditions such as radiofrequency field (B(1)) and constant/homogeneous magnetic field (B(0)) from associated scanners. We exploit the correspondence among three different elements: the signal evolution as a result of a repetitive sequence of blocks of radiofrequency excitation pulses and encoding gradients, the continuous Bloch equations and the mathematical description of a sequence as a linear system. This approach simultaneously provides, in a single measurement, all quantitative parameters of interest as well as associated system imperfections. Finally, we demonstrate the in-vivo applicability of the new concept on a clinical MRI scanner. |
format | Online Article Text |
id | pubmed-8390767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-83907672021-09-01 From signal-based to comprehensive magnetic resonance imaging Kotek, Gyula Nunez-Gonzalez, Laura Vogel, Mika W. Krestin, Gabriel P. Poot, Dirk H. J. Hernandez-Tamames, Juan A. Sci Rep Article We present and evaluate a new insight into magnetic resonance imaging (MRI). It is based on the algebraic description of the magnetization during the transient response—including intrinsic magnetic resonance parameters such as longitudinal and transverse relaxation times (T(1), T(2)) and proton density (PD) and experimental conditions such as radiofrequency field (B(1)) and constant/homogeneous magnetic field (B(0)) from associated scanners. We exploit the correspondence among three different elements: the signal evolution as a result of a repetitive sequence of blocks of radiofrequency excitation pulses and encoding gradients, the continuous Bloch equations and the mathematical description of a sequence as a linear system. This approach simultaneously provides, in a single measurement, all quantitative parameters of interest as well as associated system imperfections. Finally, we demonstrate the in-vivo applicability of the new concept on a clinical MRI scanner. Nature Publishing Group UK 2021-08-26 /pmc/articles/PMC8390767/ /pubmed/34446804 http://dx.doi.org/10.1038/s41598-021-96791-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kotek, Gyula Nunez-Gonzalez, Laura Vogel, Mika W. Krestin, Gabriel P. Poot, Dirk H. J. Hernandez-Tamames, Juan A. From signal-based to comprehensive magnetic resonance imaging |
title | From signal-based to comprehensive magnetic resonance imaging |
title_full | From signal-based to comprehensive magnetic resonance imaging |
title_fullStr | From signal-based to comprehensive magnetic resonance imaging |
title_full_unstemmed | From signal-based to comprehensive magnetic resonance imaging |
title_short | From signal-based to comprehensive magnetic resonance imaging |
title_sort | from signal-based to comprehensive magnetic resonance imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390767/ https://www.ncbi.nlm.nih.gov/pubmed/34446804 http://dx.doi.org/10.1038/s41598-021-96791-w |
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