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Updated: Feb 12, 2026
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Magnetic Resonance Elastography Methodology for the Evaluation of Tissue Engineered Construct Growth
Published on: February 9, 2012
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Relationships between scalp, brain, and skull motion estimated using magnetic resonance elastography
Andrew A Badachhape1, Ruth J Okamoto2, Curtis L Johnson3
1Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States.
Journal of Biomechanics
|March 28, 2018
Summary
Scalp motion sensors can provide insights into brain motion but should be used cautiously. Consistent relationships exist between scalp, skull, and brain motion, aiding biomechanical model development.
Area of Science:
- Biomechanics
- Neuroscience
- Medical Imaging
Background:
- Understanding traumatic brain injury (TBI) mechanics requires knowledge of skull-to-brain motion transmission.
- Directly measuring skull motion is challenging, necessitating alternative methods.
- Scalp motion may serve as a proxy for skull motion and predict brain deformation.
Purpose of the Study:
- To characterize the motion relationships between the scalp, skull, and brain.
- To assess the utility of scalp motion as an indicator of skull kinematics and brain deformation.
- To inform and refine mathematical models of head biomechanics.
Main Methods:
- Magnetic Resonance Elastography (MRE) was used to measure in vivo scalp and brain motion.
- Low motion-encoding gradient strengths were employed to mitigate phase wrapping in MRE.
- Scalp and brain motion data were compared against skull motion estimated by tri-axial accelerometers.
Main Results:
- Consistent relationships were observed between scalp, skull, and brain motion amplitudes and phases.
- Scalp-based sensor data requires cautious interpretation for estimating skull kinematics.
- MRE successfully separated rigid-body displacement and dynamic deformation components.
Conclusions:
- While scalp motion data should be used cautiously, it exhibits consistent relationships with skull and brain motion.
- These findings can be leveraged to improve computational models of head biomechanics.
- Further research can refine TBI models based on these observed motion dynamics.
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