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Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T
PURPOSE: Inhomogeneous excitation at ultrahigh field strengths (7T and above) compromises the reliability of quantified dynamic contrast‐enhanced breast MRI. This can hamper the introduction of ultrahigh field MRI into the clinic. Compensation for this non‐uniformity effect can consist of both hardw...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217168/ https://www.ncbi.nlm.nih.gov/pubmed/31880346 http://dx.doi.org/10.1002/mrm.28147 |
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author | van Rijssel, Michael J. Pluim, Josien P. W. Chan, Hui‐Shan M. van den Wildenberg, Lieke Schmitz, Alexander M. Th. Luijten, Peter R. Gilhuijs, Kenneth G. A. Klomp, Dennis W. J. |
author_facet | van Rijssel, Michael J. Pluim, Josien P. W. Chan, Hui‐Shan M. van den Wildenberg, Lieke Schmitz, Alexander M. Th. Luijten, Peter R. Gilhuijs, Kenneth G. A. Klomp, Dennis W. J. |
author_sort | van Rijssel, Michael J. |
collection | PubMed |
description | PURPOSE: Inhomogeneous excitation at ultrahigh field strengths (7T and above) compromises the reliability of quantified dynamic contrast‐enhanced breast MRI. This can hamper the introduction of ultrahigh field MRI into the clinic. Compensation for this non‐uniformity effect can consist of both hardware improvements and post‐acquisition corrections. This paper investigated the correctable radiofrequency transmit ([Formula: see text]) range post‐acquisition in both simulations and patient data for 7T MRI. METHODS: Simulations were conducted to determine the minimum [Formula: see text] level at which corrections were still beneficial because of noise amplification. Two correction strategies leading to differences in noise amplification were tested. The effect of the corrections on a 7T patient data set (N = 38) with a wide range of [Formula: see text] levels was investigated in terms of time‐intensity curve types as well as washin, washout and peak enhancement values. RESULTS: In simulations assuming a common amount of T(1) saturation, the lowest [Formula: see text] level at which the SNR of the corrected images was at least that of the original precontrast image was 43% of the nominal angle. After correction, time‐intensity curve types changed in 24% of included patients, and the distribution of curve types corresponded better to the distribution found in literature. Additionally, the overlap between the distributions of washin, washout, and peak enhancement values for grade 1 and grade 2 tumors was slightly reduced. CONCLUSION: Although the correctable range varies with the amount of T(1) saturation, post‐acquisition correction for inhomogeneous excitation was feasible down to [Formula: see text] levels of 43% of the nominal angle in vivo. |
format | Online Article Text |
id | pubmed-7217168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72171682020-05-13 Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T van Rijssel, Michael J. Pluim, Josien P. W. Chan, Hui‐Shan M. van den Wildenberg, Lieke Schmitz, Alexander M. Th. Luijten, Peter R. Gilhuijs, Kenneth G. A. Klomp, Dennis W. J. Magn Reson Med Full Papers—Computer Processing and Modeling PURPOSE: Inhomogeneous excitation at ultrahigh field strengths (7T and above) compromises the reliability of quantified dynamic contrast‐enhanced breast MRI. This can hamper the introduction of ultrahigh field MRI into the clinic. Compensation for this non‐uniformity effect can consist of both hardware improvements and post‐acquisition corrections. This paper investigated the correctable radiofrequency transmit ([Formula: see text]) range post‐acquisition in both simulations and patient data for 7T MRI. METHODS: Simulations were conducted to determine the minimum [Formula: see text] level at which corrections were still beneficial because of noise amplification. Two correction strategies leading to differences in noise amplification were tested. The effect of the corrections on a 7T patient data set (N = 38) with a wide range of [Formula: see text] levels was investigated in terms of time‐intensity curve types as well as washin, washout and peak enhancement values. RESULTS: In simulations assuming a common amount of T(1) saturation, the lowest [Formula: see text] level at which the SNR of the corrected images was at least that of the original precontrast image was 43% of the nominal angle. After correction, time‐intensity curve types changed in 24% of included patients, and the distribution of curve types corresponded better to the distribution found in literature. Additionally, the overlap between the distributions of washin, washout, and peak enhancement values for grade 1 and grade 2 tumors was slightly reduced. CONCLUSION: Although the correctable range varies with the amount of T(1) saturation, post‐acquisition correction for inhomogeneous excitation was feasible down to [Formula: see text] levels of 43% of the nominal angle in vivo. John Wiley and Sons Inc. 2019-12-27 2020-08 /pmc/articles/PMC7217168/ /pubmed/31880346 http://dx.doi.org/10.1002/mrm.28147 Text en © 2019 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers—Computer Processing and Modeling van Rijssel, Michael J. Pluim, Josien P. W. Chan, Hui‐Shan M. van den Wildenberg, Lieke Schmitz, Alexander M. Th. Luijten, Peter R. Gilhuijs, Kenneth G. A. Klomp, Dennis W. J. Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T |
title | Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T |
title_full | Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T |
title_fullStr | Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T |
title_full_unstemmed | Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T |
title_short | Correcting time‐intensity curves in dynamic contrast‐enhanced breast MRI for inhomogeneous excitation fields at 7T |
title_sort | correcting time‐intensity curves in dynamic contrast‐enhanced breast mri for inhomogeneous excitation fields at 7t |
topic | Full Papers—Computer Processing and Modeling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7217168/ https://www.ncbi.nlm.nih.gov/pubmed/31880346 http://dx.doi.org/10.1002/mrm.28147 |
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