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Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics

Recently, gradient performance and fidelity has become of increasing interest, as the fidelity of the magnetic resonance (MR) image is somewhat dependent on the fidelity of the gradient system. In particular, for high fidelity non-Cartesian imaging, due to non-fidelity of the gradient system, it bec...

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Detalles Bibliográficos
Autores principales: Liu, Hui, Matson, Gerald B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204731/
https://www.ncbi.nlm.nih.gov/pubmed/25343017
http://dx.doi.org/10.3390/ma7010001
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author Liu, Hui
Matson, Gerald B.
author_facet Liu, Hui
Matson, Gerald B.
author_sort Liu, Hui
collection PubMed
description Recently, gradient performance and fidelity has become of increasing interest, as the fidelity of the magnetic resonance (MR) image is somewhat dependent on the fidelity of the gradient system. In particular, for high fidelity non-Cartesian imaging, due to non-fidelity of the gradient system, it becomes necessary to know the actual k-space trajectory as opposed to the requested trajectory. In this work we show that, by considering the gradient system as a linear time-invariant system, the gradient impulse response function (GIRF) can be reliably measured to a relatively high degree of accuracy with a simple setup, using a small phantom and a series of simple experiments. It is shown experimentally that the resulting GIRF is able to predict actual gradient performance with a high degree of accuracy. The method captures not only the frequency response but also gradient timing errors and artifacts due to mechanical vibrations of the gradient system. Some discussion is provided comparing the method presented here with other analogous methods, along with limitations of these methods.
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spelling pubmed-42047312014-10-21 Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics Liu, Hui Matson, Gerald B. Materials (Basel) Article Recently, gradient performance and fidelity has become of increasing interest, as the fidelity of the magnetic resonance (MR) image is somewhat dependent on the fidelity of the gradient system. In particular, for high fidelity non-Cartesian imaging, due to non-fidelity of the gradient system, it becomes necessary to know the actual k-space trajectory as opposed to the requested trajectory. In this work we show that, by considering the gradient system as a linear time-invariant system, the gradient impulse response function (GIRF) can be reliably measured to a relatively high degree of accuracy with a simple setup, using a small phantom and a series of simple experiments. It is shown experimentally that the resulting GIRF is able to predict actual gradient performance with a high degree of accuracy. The method captures not only the frequency response but also gradient timing errors and artifacts due to mechanical vibrations of the gradient system. Some discussion is provided comparing the method presented here with other analogous methods, along with limitations of these methods. MDPI 2013-12-19 /pmc/articles/PMC4204731/ /pubmed/25343017 http://dx.doi.org/10.3390/ma7010001 Text en © 2013 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Liu, Hui
Matson, Gerald B.
Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics
title Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics
title_full Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics
title_fullStr Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics
title_full_unstemmed Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics
title_short Accurate Measurement of Magnetic Resonance Imaging Gradient Characteristics
title_sort accurate measurement of magnetic resonance imaging gradient characteristics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4204731/
https://www.ncbi.nlm.nih.gov/pubmed/25343017
http://dx.doi.org/10.3390/ma7010001
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