TY - JOUR
T1 - Evaluation of wave delivery methodology for brain MRE
T2 - Insights from computational simulations
AU - McGrath, Deirdre M.
AU - Ravikumar, Nishant
AU - Beltrachini, Leandro
AU - Wilkinson, Iain D.
AU - Frangi, Alejandro F.
AU - Taylor, Zeike A.
N1 - Publisher Copyright:
© 2016 International Society for Magnetic Resonance in Medicine
PY - 2017/7
Y1 - 2017/7
N2 - 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. Magn Reson Med 78:341–356, 2017.
AB - 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. Magn Reson Med 78:341–356, 2017.
KW - brain
KW - dementia
KW - finite element modeling simulation
KW - magnetic resonance elastography
KW - natural frequencies
KW - skull
UR - http://www.scopus.com/inward/record.url?scp=84978745062&partnerID=8YFLogxK
U2 - 10.1002/mrm.26333
DO - 10.1002/mrm.26333
M3 - Article
C2 - 27416890
AN - SCOPUS:84978745062
SN - 0740-3194
VL - 78
SP - 341
EP - 356
JO - Magnetic Resonance in Medicine
JF - Magnetic Resonance in Medicine
IS - 1
ER -