Emil Ljungberg1, Irene Vavasour2, Roger Tam2,3, Youngjin Yoo3, Alexander Rauscher4, David Li2, Anthony Traboulsee5, Alex MacKay1,2, and Shannon Kolind5
1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada, 4Pediatrics, University of British Columbia, Vancouver, BC, Canada, 5Medicine, University of British Columbia, Vancouver, BC, Canada
Synopsis
Myelin water imaging can quantify myelin in the cervical cord in vivo. However, the established 3D
Turbo Spin Echo (TSE) approach has a lengthy scan time. We used a 3D Gradient
Spin Echo (GRASE) sequence to speed up cervical cord myelin water acquisition by
a factor of three. Average GRASE and TSE myelin water estimates were similar (GRASE: 23±1.5%; TSE: 24±3%) and
significantly correlated (R2=0.69, p<0.001). 3D-GRASE showed
good reproducibility with an average myelin water coefficient of variation of 6%.
Our findings demonstrate that cervical cord myelin water data can reliably be
collected in clinical feasible scan times. Introduction
Myelin Water Imaging (MWI) is a quantitative T2
relaxation-based magnetic resonance imaging technique1, which has been validated as a viable biomarker for myelin in
the central nervous system (CNS)2. The
MR signal from tissue in the CNS originates from three main water pools: water
trapped between myelin bilayers (T2≈20ms), intra/extra-cellular
water (T2≈80ms) and cerebrospinal
fluid (T2≈2s). The signal
fraction originating from each water pool is determined by analysing the T2-decay
curve using a non-negative least squares (NNLS) fitting-algorithm1. From this analysis the myelin
water fraction (MWF) is obtained as the ratio of the signal originating from water within the myelin bilayers to the total MR signal.
The acquisition time for MWI has improved significantly over the last 20
years, most recently with the implementation of a 3D Gradient Spin Echo (3D-GRASE)
sequence enabling full cerebral coverage in 15min3. However, multi-slice MWI in spinal cord (SC) has thus far only
employed a 3D Turbo Spin Echo (3D-TSE) sequence with a significantly longer
acquisition time4. The purpose of
this study was to investigate the reliability of using a high resolution 3D-GRASE
sequence for MWI in cervical spinal cord in
vivo to speed up data acquisition by a factor of three.
Method
MR
Experiments: Seven healthy volunteers underwent imaging on a Philips Achieva 3T scanner
using a 6-channel spine coil. Scans were centered at the C2/C3 disc and aligned
perpendicular to the cord. The scanning protocol included:
(1) 3D-GRASE (32 echoes, echo spacing 10ms, TEmin=10ms, TEmax=320ms, TR=1500ms, refocusing flip
angle αrefocus=180°, acquired resolution=1x1x5mm3, FOV=180x40x150mm3 (AP, FH, RL), reconstructed resolution=0.625x0.625x2.5mm3,
SENSE factor 2 Right-Left, scan time=8.6min)
(2) 3D-TSE (all parameters matched to 3D-GRASE except for αrefocus=135°, FOV=180x40x135mm3, no SENSE, and reconstructed resolution=0.7x0.7x5mm3, scan time=23.3min)
(3) T2 weighted multi-echo fast gradient echo (mFFE) (5 echoes, echo spacing 8.2ms, TEmin=6.6ms, TEmax=39.4ms, TR=814ms, acquired resolution=0.8x0.8x2.75mm3, FOV=150x43.75x150mm3, reconstructed resolution=0.3x0.3x2.75mm3, for anatomical segmentation).
To assess reproducibility, the 3D-GRASE sequence was collected twice, at
the beginning and end of the scanning protocol.
Image
Analysis: Voxel-wise MWF maps were calculated by analyzing the 3D-GRASE and
3D-TSE T2-decay data using in-house software, with corrections for stimulated echo artifacts as well as
regularizing the data in both spatial and T2 space5. Regions of
interest (ROIs) were obtained by registering the mFFE scan to the MNI-POLY-AMU
spinal cord template from the Spinal Cord Toolbox6 and then registering the 3D-GRASE and 3D-TSE scans to the mFFE.
Four ROIs from the template (full cord, gray matter (GM), the dorsal column
(DC), and the lateral corticospinal tract (LCT)) were registered to mFFE space
and MWF within each ROI was determined (Figure
1).
Statistical
Analysis: MWF estimates obtain by 3D-GRASE and 3D-TSE were compared using
linear regression and Bland-Altman analysis. Reproducibility of the 3D-GRASE
sequence was evaluated by calculating the coefficient of variation (COV) in MWF
between the two 3D-GRASE experiments.
Results
One subject was excluded from the results due to severe motion artifacts
rendering ROI registration unreliable. 3D-GRASE and 3D-TSE MWF maps were
qualitatively similar (Figure 2) and
linear regression demonstrated a strong positive correlation between 3D-GRASE
and 3D-TSE MWF (Figure 3, R
2=0.69,
p<0.001). A Bland-Altman plot showed no biases for the various ROIs (Figure 4). Average whole cord segment MWF
was 23% (SD=1.5%) for 3D-GRASE and 24% (SD=3%) for 3D-TSE. 3D-GRASE showed good
scan-rescan reproducibility with average COV’s ranging from 6.2% in whole cord
to 12.8% in GM (Table 1).
Discussion
The MWF results obtained in this study are in agreement with previous studies investigating cervical
spinal cord MWF with values between 21.8-26.4%
7.Bland-Altman analysis (Figure
4) of 3D-GRASE and 3D-TSE showed that the 95% confidence intervals for the mean
difference overlaps zero, indicating there is no significant difference between
the 3D-GRASE and 3D-TSE results. Regression analysis (Figure 3) also shows that the unity line, i.e. the one-to-one
correlation, falls within the 95% confidence interval of the linear fit,
further supporting the hypothesis that these techniques produce comparable
results.
Conclusions
Our study is the first successful implementation of a 3D-GRASE sequence
for human cervical spinal cord MWI
in
vivo. 3D-GRASE MWF is reproducible and in good agreement with MWF values reported
in previous studies. Using 3D-GRASE for MWI significantly reduces the acquisition
time compared to the matched 3D-TSE sequence. Our findings demonstrate that
cervical cord myelin water data can reliably be collected in clinically
feasible scan times.
Acknowledgements
No acknowledgement found.References
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