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Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias

The study aims to test the long-term stability of gradient characteristics for model-based correction of diffusion weighting (DW) bias in an apparent diffusion coefficient (ADC) for multisite imaging trials. Single spin echo (SSE) DWI of a long-tube ice-water phantom was acquired quarterly on six MR...

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Autores principales: Pang, Yuxi, Malyarenko, Dariya I., Wilmes, Lisa J., Devaraj, Ajit, Tan, Ek T., Marinelli, Luca, Endt, Axel vom, Peeters, Johannes, Jacobs, Michael A., Newitt, David C., Chenevert, Thomas L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875771/
https://www.ncbi.nlm.nih.gov/pubmed/35202195
http://dx.doi.org/10.3390/tomography8010030
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author Pang, Yuxi
Malyarenko, Dariya I.
Wilmes, Lisa J.
Devaraj, Ajit
Tan, Ek T.
Marinelli, Luca
Endt, Axel vom
Peeters, Johannes
Jacobs, Michael A.
Newitt, David C.
Chenevert, Thomas L.
author_facet Pang, Yuxi
Malyarenko, Dariya I.
Wilmes, Lisa J.
Devaraj, Ajit
Tan, Ek T.
Marinelli, Luca
Endt, Axel vom
Peeters, Johannes
Jacobs, Michael A.
Newitt, David C.
Chenevert, Thomas L.
author_sort Pang, Yuxi
collection PubMed
description The study aims to test the long-term stability of gradient characteristics for model-based correction of diffusion weighting (DW) bias in an apparent diffusion coefficient (ADC) for multisite imaging trials. Single spin echo (SSE) DWI of a long-tube ice-water phantom was acquired quarterly on six MR scanners over two years for individual diffusion gradient channels, along with [Formula: see text] mapping, as a function of right-left (RL) and superior-inferior (SI) offsets from the isocenter. Additional double spin-echo (DSE) DWI was performed on two systems. The offset dependences of derived ADC were fit to 4th-order polynomials. Chronic shim gradients were measured from spatial derivatives of [Formula: see text] maps along the tube direction. Gradient nonlinearity (GNL) was modeled using vendor-provided gradient field descriptions. Deviations were quantified by root-mean-square differences (RMSD), normalized to reference ice-water ADC, between the model and reference ([Formula: see text]), measurement and model ([Formula: see text]), and temporal measurement variations ([Formula: see text]). Average [Formula: see text] was 4.9 ± 3.2 (%RL) and –14.8 ± 3.8 (%SI), and threefold larger than [Formula: see text]. [Formula: see text] was close to measurement errors (~3%). GNL-induced bias across gradient systems varied up to 20%, while deviation from the model accounted at most for 6.5%, and temporal variation for less than 3% of ADC reproducibility error. Higher SSE [Formula: see text] = 7.5–11% was reduced to 2.5–4.8% by DSE, consistent with the eddy current origin. Measured chronic shim gradients below 0.1 mT/m had a minor contribution to ADC bias. The demonstrated long-term stability of spatial ADC profiles and consistency with system GNL models justifies retrospective and prospective DW bias correction based on system gradient design models. Residual errors due to eddy currents and shim gradients should be corrected independent of GNL.
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spelling pubmed-88757712022-02-26 Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias Pang, Yuxi Malyarenko, Dariya I. Wilmes, Lisa J. Devaraj, Ajit Tan, Ek T. Marinelli, Luca Endt, Axel vom Peeters, Johannes Jacobs, Michael A. Newitt, David C. Chenevert, Thomas L. Tomography Article The study aims to test the long-term stability of gradient characteristics for model-based correction of diffusion weighting (DW) bias in an apparent diffusion coefficient (ADC) for multisite imaging trials. Single spin echo (SSE) DWI of a long-tube ice-water phantom was acquired quarterly on six MR scanners over two years for individual diffusion gradient channels, along with [Formula: see text] mapping, as a function of right-left (RL) and superior-inferior (SI) offsets from the isocenter. Additional double spin-echo (DSE) DWI was performed on two systems. The offset dependences of derived ADC were fit to 4th-order polynomials. Chronic shim gradients were measured from spatial derivatives of [Formula: see text] maps along the tube direction. Gradient nonlinearity (GNL) was modeled using vendor-provided gradient field descriptions. Deviations were quantified by root-mean-square differences (RMSD), normalized to reference ice-water ADC, between the model and reference ([Formula: see text]), measurement and model ([Formula: see text]), and temporal measurement variations ([Formula: see text]). Average [Formula: see text] was 4.9 ± 3.2 (%RL) and –14.8 ± 3.8 (%SI), and threefold larger than [Formula: see text]. [Formula: see text] was close to measurement errors (~3%). GNL-induced bias across gradient systems varied up to 20%, while deviation from the model accounted at most for 6.5%, and temporal variation for less than 3% of ADC reproducibility error. Higher SSE [Formula: see text] = 7.5–11% was reduced to 2.5–4.8% by DSE, consistent with the eddy current origin. Measured chronic shim gradients below 0.1 mT/m had a minor contribution to ADC bias. The demonstrated long-term stability of spatial ADC profiles and consistency with system GNL models justifies retrospective and prospective DW bias correction based on system gradient design models. Residual errors due to eddy currents and shim gradients should be corrected independent of GNL. MDPI 2022-02-04 /pmc/articles/PMC8875771/ /pubmed/35202195 http://dx.doi.org/10.3390/tomography8010030 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pang, Yuxi
Malyarenko, Dariya I.
Wilmes, Lisa J.
Devaraj, Ajit
Tan, Ek T.
Marinelli, Luca
Endt, Axel vom
Peeters, Johannes
Jacobs, Michael A.
Newitt, David C.
Chenevert, Thomas L.
Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias
title Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias
title_full Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias
title_fullStr Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias
title_full_unstemmed Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias
title_short Long-Term Stability of Gradient Characteristics Warrants Model-Based Correction of Diffusion Weighting Bias
title_sort long-term stability of gradient characteristics warrants model-based correction of diffusion weighting bias
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875771/
https://www.ncbi.nlm.nih.gov/pubmed/35202195
http://dx.doi.org/10.3390/tomography8010030
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