. (2016), Evaluation of wave delivery methodology for brain MRE: Insights from computational simulations. Magn Reson Med. , which has been published in final form at http://dx.doi.org/10.1002/mrm.26333. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving (http://olabout.wiley.com/WileyCDA/Section/id-828039.html) eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website.
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Evaluation of Wave Delivery Methodology for
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. 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. Two of the wave delivery methods (head-cradle and acoustic pillow) gave rise to lower inversion errors, e.g., at 90 Hz the error in the storage modulus was 11% less than for the bite-bar method.
Conclusion:Wave delivery has an important 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 the optimum methodology, to ensure diagnostic and prognostic consistency.