Ziying Yin1, Yi Sui1, Joshua D Trzasko1, Phillip J Rossman1, Armando Manduca1, Richard L Ehman1, and John Huston III1
1Radiology, Mayo clinic, Rochester, MN, United States
Synopsis
Characterization of skull-brain interactions during applied
motion is essential to understanding the mechanics of traumatic brain injury.
In this study, MR elastography was performed on volunteers to study in vivo skull-brain motion responding to
different vibrational directions using a multi-excitation driver. With novel dual-saturation
imaging and dual-sensitivity motion encoding schemes, we directly measured relative
skull-brain displacement on a voxel basis. Our results show that the skull-brain
interface tends to significantly attenuate and delay rotational motion compared
to translational motion. In slip interface imaging, the skull-brain slip interface
is not completely evident, and the slip pattern is spatially heterogeneous.
Introduction
Characterization of skull-brain interactions during applied motion is essential to understanding the mechanics of traumatic brain injury, but in vivo characterization is limited. A previous study utilized MR elastography (MRE) combined with accelerometers to investigate the relative brain-skull motion; however, the skull motion was indirectly assessed and the motion was limited to vertical vibrations[1]. Direct measurement of skull and brain motion responding to different vibrational directions could expand our understanding of how the skull-brain interface attenuates and delays motion transmission into the brain. Towards this goal, we developed a dual-saturation imaging and dual-sensitivity motion encoding scheme to directly measure and reliably unwrap the skull as well as brain phase images using MRE. In addition we used this technique to study the relative skull-brain motion in volunteers with a newly developed multi-excitation head driver.Methods
MRE
exams were performed on 3 healthy volunteers with a multi-excitation head
driver that is integrated into a 12-channel head coil (Fig.1). Three distinct excitation patterns (anterior-posterior(AP),
left-right(LR), and clockwise(CW)) at 60-Hz were introduced into the head by independently
setting the amplitude and phase of the individual actuators (Fig.1D). Dual-saturation imaging-
i.e., one MRE scan with water-selective SPSP excitation (fat-suppression) and the
other with fat-selective SPSP excitation (water-suppression) – was performed to
characterize mechanically-induced motion of the brain and skull respectively.
The signal from the skull was detected from the fatty marrow contained within the
medullary cavity. The 3D skull-plus-brain MRE data were generated by combing
the dominantly water and fat MRE data in the complex image domain. MRE data was
acquired with a modified SS-SE-EPI-MRE sequence incorporating the dual-sensitivity
motion encoding scheme, in which the amplitude of negative MEGs were set to
be smaller (77.7%) than that of positive MEGs, resulting in both low and high
motion encoding sensitivity phase in a single scan when these phases are added
or subtracted respectively. The low-sensitivity phase images that are
practically free of skull-based phase wrap were then used to guide unwrapping
of the high-sensitivity phase image. Other imaging parameters include: TR/TE=4000/58.7ms;
FOV=24cm; 80×80 acquisition matrix reconstructed to 128×128; 48 contiguous
3-mm-thick axial slices; 2xASSET; 4 phase offsets. MRE displacements from the
brain and skull ROIs (Fig.2D) were
fitted to a model of rigid-body motion to obtain rigid-body translation and
rotation. The amplitude and temporal phase delay between the skull and brain
were compared for each rigid-body component. The relative motion of the skull
and brain was also visualized by slip interface imaging (SII) as previous
described[2].Results
An
example of the combined skull-plus-brain image is shown in Fig.2. Fig.3 shows the wrap-free images following the proposed
unwrapping process that is guided by the low-sensitivity phase data. Fig.4 shows the amplitude and temporal
phase delay of the rigid-body translation and rotation of the skull and brain under
different vibration patterns. The amplitude of the translation from skull to
brain was slightly reduced, whereas the rotation transmission was highly attenuated.
The phase delay between the skull and brain rotation was longer (0.80±0.16rad)
than that of the translation (0.07±0.01rad). The temporal phase delay was found
to be independent of vibrational directions. Fig.5 shows one example of SII to qualitatively visualize the
relative skull-brain motion. Note that the skull-brain slip interface is
spatially heterogeneous.Discussion
Direct
skull displacement measurement is difficult for two reasons: the signal void of
the skull on the standard SE-EPI-MRE sequence and heavily wrapped phase in the skull
that is topologically separated from the brain. In this study, by switching to
water-suppressed acquisition, the medullary cavity filled of fatty marrow has
high enough signal to be used to track the skull motion. By using the
dual-sensitivity motion encoded acquisition, wrap-free estimates of phase were
successfully generated even with only 4 phase offsets, a scenario where
conventional phase unwrapping algorithms often fail. We demonstrated that the multi-excitation
driver can induce the desired motion patterns. With it, our results suggest that
the skull-brain interface may significantly attenuate and delay the rotational motion
that is potentially more harmful in regard to brain injury[3]. Interestingly,
the slip interface between the skull and brain does not appear to be completely
evident. This suggests that some areas of the interface may be mechanically different.
Of note, there appears to exist a complete slip interface between the scalp and
skull, suggesting that the scalp motion may not be an accurate surrogate
measure of skull motion. Conclusion
Our
results suggest that the proposed dual-saturation imaging and dual-sensitivity
motion encoding MRE technique is an effective tool for measuring 3D in vivo
skull and brain motion under different vibrational conditions.Acknowledgements
This work was supported by grant from the National Institute of Health RO1 EB001981.References
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