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The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging

G-ratio weighted imaging is a non-invasive, in-vivo MRI-based technique that aims at estimating an aggregated measure of relative myelination of axons across the entire brain white matter. The MR g-ratio and its constituents (axonal and myelin volume fraction) are more specific to the tissue microst...

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Autores principales: Emmenegger, Tim M., David, Gergely, Ashtarayeh, Mohammad, Fritz, Francisco J., Ellerbrock, Isabel, Helms, Gunther, Balteau, Evelyne, Freund, Patrick, Mohammadi, Siawoosh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287210/
https://www.ncbi.nlm.nih.gov/pubmed/34290579
http://dx.doi.org/10.3389/fnins.2021.674719
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author Emmenegger, Tim M.
David, Gergely
Ashtarayeh, Mohammad
Fritz, Francisco J.
Ellerbrock, Isabel
Helms, Gunther
Balteau, Evelyne
Freund, Patrick
Mohammadi, Siawoosh
author_facet Emmenegger, Tim M.
David, Gergely
Ashtarayeh, Mohammad
Fritz, Francisco J.
Ellerbrock, Isabel
Helms, Gunther
Balteau, Evelyne
Freund, Patrick
Mohammadi, Siawoosh
author_sort Emmenegger, Tim M.
collection PubMed
description G-ratio weighted imaging is a non-invasive, in-vivo MRI-based technique that aims at estimating an aggregated measure of relative myelination of axons across the entire brain white matter. The MR g-ratio and its constituents (axonal and myelin volume fraction) are more specific to the tissue microstructure than conventional MRI metrics targeting either the myelin or axonal compartment. To calculate the MR g-ratio, an MRI-based myelin-mapping technique is combined with an axon-sensitive MR technique (such as diffusion MRI). Correction for radio-frequency transmit (B1+) field inhomogeneities is crucial for myelin mapping techniques such as magnetization transfer saturation. Here we assessed the effect of B1+ correction on g-ratio weighted imaging. To this end, the B1+ field was measured and the B1+ corrected MR g-ratio was used as the reference in a Bland-Altman analysis. We found a substantial bias (≈-89%) and error (≈37%) relative to the dynamic range of g-ratio values in the white matter if the B1+ correction was not applied. Moreover, we tested the efficiency of a data-driven B1+ correction approach that was applied retrospectively without additional reference measurements. We found that it reduced the bias and error in the MR g-ratio by a factor of three. The data-driven correction is readily available in the open-source hMRI toolbox (www.hmri.info) which is embedded in the statistical parameter mapping (SPM) framework.
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spelling pubmed-82872102021-07-20 The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging Emmenegger, Tim M. David, Gergely Ashtarayeh, Mohammad Fritz, Francisco J. Ellerbrock, Isabel Helms, Gunther Balteau, Evelyne Freund, Patrick Mohammadi, Siawoosh Front Neurosci Neuroscience G-ratio weighted imaging is a non-invasive, in-vivo MRI-based technique that aims at estimating an aggregated measure of relative myelination of axons across the entire brain white matter. The MR g-ratio and its constituents (axonal and myelin volume fraction) are more specific to the tissue microstructure than conventional MRI metrics targeting either the myelin or axonal compartment. To calculate the MR g-ratio, an MRI-based myelin-mapping technique is combined with an axon-sensitive MR technique (such as diffusion MRI). Correction for radio-frequency transmit (B1+) field inhomogeneities is crucial for myelin mapping techniques such as magnetization transfer saturation. Here we assessed the effect of B1+ correction on g-ratio weighted imaging. To this end, the B1+ field was measured and the B1+ corrected MR g-ratio was used as the reference in a Bland-Altman analysis. We found a substantial bias (≈-89%) and error (≈37%) relative to the dynamic range of g-ratio values in the white matter if the B1+ correction was not applied. Moreover, we tested the efficiency of a data-driven B1+ correction approach that was applied retrospectively without additional reference measurements. We found that it reduced the bias and error in the MR g-ratio by a factor of three. The data-driven correction is readily available in the open-source hMRI toolbox (www.hmri.info) which is embedded in the statistical parameter mapping (SPM) framework. Frontiers Media S.A. 2021-07-05 /pmc/articles/PMC8287210/ /pubmed/34290579 http://dx.doi.org/10.3389/fnins.2021.674719 Text en Copyright © 2021 Emmenegger, David, Ashtarayeh, Fritz, Ellerbrock, Helms, Balteau, Freund and Mohammadi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Emmenegger, Tim M.
David, Gergely
Ashtarayeh, Mohammad
Fritz, Francisco J.
Ellerbrock, Isabel
Helms, Gunther
Balteau, Evelyne
Freund, Patrick
Mohammadi, Siawoosh
The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
title The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
title_full The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
title_fullStr The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
title_full_unstemmed The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
title_short The Influence of Radio-Frequency Transmit Field Inhomogeneities on the Accuracy of G-ratio Weighted Imaging
title_sort influence of radio-frequency transmit field inhomogeneities on the accuracy of g-ratio weighted imaging
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8287210/
https://www.ncbi.nlm.nih.gov/pubmed/34290579
http://dx.doi.org/10.3389/fnins.2021.674719
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