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Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion

Intrinsic actuation magnetic resonance elastography (MRE) is a phase‐contrast MRI technique that allows for in vivo quantification of mechanical properties of the brain by exploiting brain motion that arise naturally due to the cardiac pulse. The mechanical properties of the brain reflect its tissue...

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Autores principales: Burman Ingeberg, Marius, Van Houten, Elijah, Zwanenburg, Jaco J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681656/
https://www.ncbi.nlm.nih.gov/pubmed/37909395
http://dx.doi.org/10.1002/hbm.26524
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author Burman Ingeberg, Marius
Van Houten, Elijah
Zwanenburg, Jaco J. M.
author_facet Burman Ingeberg, Marius
Van Houten, Elijah
Zwanenburg, Jaco J. M.
author_sort Burman Ingeberg, Marius
collection PubMed
description Intrinsic actuation magnetic resonance elastography (MRE) is a phase‐contrast MRI technique that allows for in vivo quantification of mechanical properties of the brain by exploiting brain motion that arise naturally due to the cardiac pulse. The mechanical properties of the brain reflect its tissue microstructure, making it a potentially valuable parameter in studying brain disease. The main purpose of this study was to assess the feasibility of reconstructing the viscoelastic properties of the brain using high‐quality 7 T MRI displacement measurements, obtained using displacement encoding with stimulated echoes (DENSE) and intrinsic actuation. The repeatability and sensitivity of the method for detecting normal regional variation in brain tissue properties was assessed as secondary goal. The displacement measurements used in this analysis were previously acquired for a separate study, where eight healthy subjects (27 ± 7 years) were imaged with repeated scans (spatial resolution approx. 2 mm isotropic, temporal resolution 75 ms, motion sensitivity 0.35 mm/2π for displacements in anterior–posterior and left–right directions, and 0.7 mm/2π for feet–head displacements). The viscoelastic properties of the brain were estimated using a subzone based non‐linear inversion scheme. The results show comparable consistency to that of extrinsic MRE between the viscoelastic property maps obtained from repeated displacement measurements. The shear stiffness maps showed fairly consistent spatial patterns. The whole‐brain repeatability coefficient (RC) for shear stiffness was (mean ± standard deviation) 8 ± 8% relative to the mean whole‐brain stiffness, and the damping ratio RC was 28 ± 17% relative to the whole‐brain damping ratio. The shear stiffness maps showed similar statistically significant regional trends as demonstrated in a publicly available atlas of viscoelastic properties obtained with extrinsic actuation MRE at 50 Hz. The damping ratio maps showed less consistency, likely due to data‐model mismatch of describing the brain as a viscoelastic material under low frequencies. While artifacts induced by fluid flow within the brain remain a limitation of the technique in its current state, intrinsic actuation based MRE allow for consistent and repeatable estimation of the mechanical properties of the brain. The method provides enough sensitivity to investigate regional variation in such properties in the normal brain, which is likely sufficient to also investigate pathological changes.
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spelling pubmed-106816562023-11-01 Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion Burman Ingeberg, Marius Van Houten, Elijah Zwanenburg, Jaco J. M. Hum Brain Mapp Technical Report Intrinsic actuation magnetic resonance elastography (MRE) is a phase‐contrast MRI technique that allows for in vivo quantification of mechanical properties of the brain by exploiting brain motion that arise naturally due to the cardiac pulse. The mechanical properties of the brain reflect its tissue microstructure, making it a potentially valuable parameter in studying brain disease. The main purpose of this study was to assess the feasibility of reconstructing the viscoelastic properties of the brain using high‐quality 7 T MRI displacement measurements, obtained using displacement encoding with stimulated echoes (DENSE) and intrinsic actuation. The repeatability and sensitivity of the method for detecting normal regional variation in brain tissue properties was assessed as secondary goal. The displacement measurements used in this analysis were previously acquired for a separate study, where eight healthy subjects (27 ± 7 years) were imaged with repeated scans (spatial resolution approx. 2 mm isotropic, temporal resolution 75 ms, motion sensitivity 0.35 mm/2π for displacements in anterior–posterior and left–right directions, and 0.7 mm/2π for feet–head displacements). The viscoelastic properties of the brain were estimated using a subzone based non‐linear inversion scheme. The results show comparable consistency to that of extrinsic MRE between the viscoelastic property maps obtained from repeated displacement measurements. The shear stiffness maps showed fairly consistent spatial patterns. The whole‐brain repeatability coefficient (RC) for shear stiffness was (mean ± standard deviation) 8 ± 8% relative to the mean whole‐brain stiffness, and the damping ratio RC was 28 ± 17% relative to the whole‐brain damping ratio. The shear stiffness maps showed similar statistically significant regional trends as demonstrated in a publicly available atlas of viscoelastic properties obtained with extrinsic actuation MRE at 50 Hz. The damping ratio maps showed less consistency, likely due to data‐model mismatch of describing the brain as a viscoelastic material under low frequencies. While artifacts induced by fluid flow within the brain remain a limitation of the technique in its current state, intrinsic actuation based MRE allow for consistent and repeatable estimation of the mechanical properties of the brain. The method provides enough sensitivity to investigate regional variation in such properties in the normal brain, which is likely sufficient to also investigate pathological changes. John Wiley & Sons, Inc. 2023-11-01 /pmc/articles/PMC10681656/ /pubmed/37909395 http://dx.doi.org/10.1002/hbm.26524 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Technical Report
Burman Ingeberg, Marius
Van Houten, Elijah
Zwanenburg, Jaco J. M.
Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion
title Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion
title_full Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion
title_fullStr Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion
title_full_unstemmed Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion
title_short Estimating the viscoelastic properties of the human brain at 7 T MRI using intrinsic MRE and nonlinear inversion
title_sort estimating the viscoelastic properties of the human brain at 7 t mri using intrinsic mre and nonlinear inversion
topic Technical Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10681656/
https://www.ncbi.nlm.nih.gov/pubmed/37909395
http://dx.doi.org/10.1002/hbm.26524
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