Xiaodong Zhong1, Tucker Lancaster2, Zihan Ye3, Deqiang Qiu2, Brian M. Dale4, John N. Oshinski2,3, and Amit Saindane2
1MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 3Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 4MR R&D Collaborations, Siemens Healthcare, Cary, NC, United States
Synopsis
In this work, we demonstrated that the DENSE
technique can be used to measure and group motion of different brain regions.
Preliminary results in 9 volunteers showed that the brain regions near the CSF
(midbrain, pons, medulla and optic chiasm) had larger motion magnitude than
regions far away (frontal lobe, occipital lobe, parietal lobe and cerebellum).
DENSE enables us to investigate brain motion to a level of detail that has not been
previously possible. The findings in this study may bring new insight into brain
motion and provide useful information to improve potential imaging and therapy
techniques.Background
and Purpose
The periodic volume changes accompanying the
arterial blood entering the brain cause a periodic brain motion, which in turn
creates a pulsatile component in the cerebrospinal fluid (CSF) flow1-4. As
the mechanical link between blood and CSF, the degree of brain motion may serve
as a biomarker for some neuropathologies. In addition, the ability to
accurately characterize brain motion helps increase our understanding of the
magnitude of these motion effects, and improve imaging techniques and therapies
sensitive to motion such as diffusion imaging5 and stereotactic radiosurgery (SRS) treatment6.
Displacement
encoding with stimulated echoes (DENSE) is a motion imaging technique that
encodes pixel-wise tissue displacements into the phase of the stimulated echoes7,8.
DENSE is well suited for
measuring small displacements, and has been applied to
measure brain motion as low as 0.01 mm9,10.
Previous studies showed different motion magnitude of brain regions9,10,
but to our knowledge, no motion range grouping has been attempted. In this
study, we took advantage of the high motion sensitivity of DENSE to quantify
the displacements of different brain regions, and hypothesized that the brain
regions near the CSF had larger motion magnitude than regions far away.
Method
Approved by our
IRB, after informed consent was obtained, 9 healthy volunteers (33.7 ± 11.0 years, two females) were scanned on
a 3T scanner with the head and neck coils (Tim Trio, Siemens, Erlangen,
Germany). Each subject was in the supine position with simple immobilization buffers
around the head. A mid-sagittal slice through the cervical cord and brain stem
was imaged with a customized, pulse-gated, segmented EPI, cine DENSE sequence.
Image parameters included displacement encoding frequency ke = 1.5
cycle/mm, through-plane dephasing frequency kd = 0.08 cycle/mm, TE = 8.9-10.4
ms, TR = 55-59 ms, EPI factor = 8, segments = 16, pixel size = 1.2 × 1.2 mm2,
slice thickness = 7 mm, averages = 4, frames = 13-16, where parameter variations
depended on the pulse durations. The subjects were instructed to remain
motionless during the scan.
The DENSE images were reconstructed inline to generate
DICOM images with displacement encoded in two orthogonal directions11,
and then these images were exported for offline processing using ImageJ (National
Institute of Health, Bethesda, MD, USA). Briefly, the phase-reconstructed image
in each direction was divided by 2πke to convert to displacement,
and then the 2D displacement map was obtained by combining data in two
directions. Regions of interest (ROIs) were placed in frontal lobe, occipital
lobe, parietal lobe, cerebellum, midbrain, pons, medulla and optic chiasm,
respectively. The mean 2D displacement values in the ROIs for each frame were recorded for all 9 volunteers, and fitted using a 3rd
or 4th order polynomial in Matlab (The Mathworks, Natick, MA, USA) to compensate for varying temporal resolutions in the
acquired data. An analysis of variance (ANOVA) was performed using R v3.2 (R
Core Team, Vienna, Austria) to test and group displacement as a function of brain
regions. Post-hoc comparisons were performed using Tukey’s HSD to adjust for
multiple comparisons.
Results
Example DENSE magnitude-reconstructed image
with the ROIs and their grouping letters (explained later) are shown in Fig 1. Example
2D displacement maps at several time points after the pulse triggering are shown
in Fig. 2. Fig. 3 shows the fitted displacement-time curves from 9 volunteers.
And Fig. 4 summarizes and groups the peak displacement averaged across the 9
volunteers. ANOVA found that the model was highly significant (p < 0.0001).
The post-hoc comparisons identified 3 overlapping groups of locations
with respect to peak displacement with group “a” having the least displacement
and group “c” having the most. In general, the brain regions near the CSF
(midbrain, pons, medulla and optic chiasm) had larger motion magnitude than
regions far away (frontal lobe, occipital lobe, parietal lobe and cerebellum). These
were consistent with our observations in both Fig. 2 and Fig. 3.
Conclusion
In this work, we have demonstrated that the
DENSE technique can be used to measure and group motion of different brain
regions. Preliminary results in 9 volunteers showed that the brain
regions near the CSF (midbrain, pons, medulla and optic chiasm) had larger
motion magnitude than regions far away (frontal lobe, occipital lobe, parietal
lobe and cerebellum). DENSE enables us to investigate brain motion to a level
of detail that has not been previously possible. The findings in this study may
bring new insight into brain motion and provide useful information to improve potential
imaging and therapy techniques.
Acknowledgements
No acknowledgement found.References
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