TY - JOUR
T1 - Relationships between scalp, brain, and skull motion estimated using magnetic resonance elastography
AU - Badachhape, Andrew A.
AU - Okamoto, Ruth J.
AU - Johnson, Curtis L.
AU - Bayly, Philip V.
N1 - Funding Information:
Financial support for this study was provided by National Institutes of Health (NIH) Grant R01 NS055951 .
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/5/17
Y1 - 2018/5/17
N2 - The objective of this study was to characterize the relationships between motion in the scalp, skull, and brain. In vivo estimates of motion transmission from the skull to the brain may illuminate the mechanics of traumatic brain injury. Because of challenges in directly sensing skull motion, it is useful to know how well motion of soft tissue of the head, i.e., the scalp, can approximate skull motion or predict brain tissue deformation. In this study, motion of the scalp and brain were measured using magnetic resonance elastography (MRE) and separated into components due to rigid-body displacement and dynamic deformation. Displacement estimates in the scalp were calculated using low motion-encoding gradient strength in order to reduce “phase wrapping” (an ambiguity in displacement estimates caused by the 2 π-periodicity of MRE phase contrast). MRE estimates of scalp and brain motion were compared to skull motion estimated from three tri-axial accelerometers. Comparison of the relative amplitudes and phases of harmonic motion in the scalp, skull, and brain of six human subjects indicate that data from scalp-based sensors should be used with caution to estimate skull kinematics, but that fairly consistent relationships exist between scalp, skull, and brain motion. In addition, the measured amplitude and phase relationships of scalp, skull, and brain can be used to evaluate and improve mathematical models of head biomechanics.
AB - The objective of this study was to characterize the relationships between motion in the scalp, skull, and brain. In vivo estimates of motion transmission from the skull to the brain may illuminate the mechanics of traumatic brain injury. Because of challenges in directly sensing skull motion, it is useful to know how well motion of soft tissue of the head, i.e., the scalp, can approximate skull motion or predict brain tissue deformation. In this study, motion of the scalp and brain were measured using magnetic resonance elastography (MRE) and separated into components due to rigid-body displacement and dynamic deformation. Displacement estimates in the scalp were calculated using low motion-encoding gradient strength in order to reduce “phase wrapping” (an ambiguity in displacement estimates caused by the 2 π-periodicity of MRE phase contrast). MRE estimates of scalp and brain motion were compared to skull motion estimated from three tri-axial accelerometers. Comparison of the relative amplitudes and phases of harmonic motion in the scalp, skull, and brain of six human subjects indicate that data from scalp-based sensors should be used with caution to estimate skull kinematics, but that fairly consistent relationships exist between scalp, skull, and brain motion. In addition, the measured amplitude and phase relationships of scalp, skull, and brain can be used to evaluate and improve mathematical models of head biomechanics.
KW - Human brain tissue
KW - In vivo
KW - Magnetic resonance elastography
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=85044335801&partnerID=8YFLogxK
U2 - 10.1016/j.jbiomech.2018.03.028
DO - 10.1016/j.jbiomech.2018.03.028
M3 - Article
C2 - 29580689
AN - SCOPUS:85044335801
SN - 0021-9290
VL - 73
SP - 40
EP - 49
JO - Journal of Biomechanics
JF - Journal of Biomechanics
ER -