Relationship between cerebral vasculature and brain stiffness measured using MR elastography

Ahmed Alshareef; Curtis L. Johnson; Aaron Carass; Andrew K. Knutsen; Peyton L. Delgorio; Grace McIlvain; Alexa M. Diano; K. T. Ramesh; Phillip V. Bayly; Dzung L. Pham; Jerry L. Prince

doi:10.1117/12.2612987

4 April 2022 Relationship between cerebral vasculature and brain stiffness measured using MR elastography

Ahmed Alshareef, Curtis L. Johnson, Aaron Carass, Andrew K. Knutsen, Peyton L. Delgorio, Grace McIlvain, Alexa M. Diano, K. T. Ramesh, Phillip V. Bayly, Dzung L. Pham, Jerry L. Prince

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Proceedings Volume 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging; 120360O (2022) https://doi.org/10.1117/12.2612987
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

Modeling brain tissue mechanics is important for understanding the pathogenesis of traumatic brain injury, with models often including brain tissue geometry and microstructural features like white matter fiber orientation. Recently, the cerebral vasculature has been included in models, however the effect of cerebral vessels on the mechanical response of the brain is unclear. A dataset of 23 subjects that includes structural MRI, angiography, and mechanical neuroimaging using magnetic resonance elastography (MRE) was collected to determine if there is a dependence of vasculature on in vivo brain mechanical properties. A pipeline was implemented using existing methods for processing anatomical, angiography, and MRE images; all images were co-registered for each subject and transformed to a common space. The regional mean stiffness and damping ratio of the brain, by anatomical segmentation, showed no dependence on vessel density but showed heterogeneity across the brain. A sub-regional analysis after stratifying by MRE stiffness showed a strong positive correlation in the cortical gray matter (R²=0.69) and a strong negative correlation in the deep gray matter (R²=0.76). Other regions showed similar trends with R² values below 0.54. The opposite trends could be a result of regional microstructure difference, or a dependence on vessel type and size. A similar analysis using the brain damping ratio showed no dependence of vasculature on brain viscous properties. Quantifying the dependence of brain mechanical properties on vasculature will aid in understanding the biomechanics of the brain and inform their use in computational models of brain injury.

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Ahmed Alshareef, Curtis L. Johnson, Aaron Carass, Andrew K. Knutsen, Peyton L. Delgorio, Grace McIlvain, Alexa M. Diano, K. T. Ramesh, Phillip V. Bayly, Dzung L. Pham, and Jerry L. Prince "Relationship between cerebral vasculature and brain stiffness measured using MR elastography", Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 120360O (4 April 2022); https://doi.org/10.1117/12.2612987

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