McGrath, DM, Ravikumar, N, Beltrachini, L et al. (3 more authors) (2017) Evaluation of wave delivery methodology for brain MRE: Insights from computational simulations. Magnetic Resonance in Medicine, 78 (1). pp. 341-356. ISSN 0740-3194
Abstract
Purpose: MR elastography (MRE) of the brain is being explored as a biomarker of neurodegenerative disease such as dementia. However, MRE measures for healthy brain have varied widely. Differing wave delivery methodologies may have influenced this, hence finite element‐based simulations were performed to explore this possibility.
Methods: The natural frequencies of a series of cranial models were calculated, and MRE‐associated vibration was simulated for different wave delivery methods at varying frequency, using simple isotropic viscoelastic material models for the brain. Displacement fields and the corresponding brain constitutive properties estimated by standard inversion techniques were compared across delivery methods and frequencies.
Results: The delivery methods produced widely different MRE displacement fields and inversions. Furthermore, resonances at natural frequencies influenced the displacement patterns. Consequently, some delivery methods led to lower inversion errors than others, and the error on the storage modulus varied by up to 11% between methods.
Conclusion: Wave delivery has a considerable impact on brain MRE reliability. Assuming small variations in brain biomechanics, as recently reported to accompany neurodegenerative disease (e.g., 7% for Alzheimer's disease), the effect of wave delivery is important. Hence, a consensus should be established on a consistent methodology to ensure diagnostic and prognostic consistency.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Wiley Periodicals, Inc. This is an author produced version of a paper subsequently published in Magnetic Resonance in Medicine. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | magnetic resonance elastography; brain; skull; finite element modeling simulation; natural frequencies; dementia |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Aug 2018 10:40 |
Last Modified: | 10 Aug 2018 10:40 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/mrm.26333 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134402 |