M Louis Lauzon1,2,3, Cheryl Rae McCreary1,2,3, D Adam McLean3,4, Marina Salluzzi3,4, and Richard Frayne1,2,3
1Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 2Hotchkiss Brain Institute, Calgary, AB, Canada, 3Seaman Family MR Research Centre, Calgary, AB, Canada, 4Calgary Image Processing and Analysis Centre, Calgary, AB, Canada
Synopsis
We scanned 4
volunteers 3 times each using 8 different QSM variants (unipolar/bipolar
readout gradient, accelerated or not, with/without gradient warp-correction), and
compared the susceptibility (average and standard deviation) in five deep gray
matter tissues using linear mixed effects modeling. Gradient-warp correction
was found to decrease the susceptibility estimates by 3-5%, whereas there was no
statistical difference in the estimates due to readout polarity or acceleration
factor.Purpose
Magnetic susceptibility is an important tissue contrast
1. Quantitative susceptibility
mapping
2 (QSM) is
fast becoming a routine clinical tool in the evaluation and assessment of
neurological diseases. Unfortunately, there is currently no established
standard scanning protocol, and it is uncertain whether different acquisition
methodologies alter the estimate of magnetic susceptibility. Here, we compare the
deep gray matter susceptibility in healthy adults acquired from various QSM sequences
using either unipolar or bipolar readout gradients, accelerated imaging or not
(
i.e., ASSET R2 or R1, respectively),
with or without gradient-warp correction.
Methods
Four healthy adult
volunteers were scanned three times each within four days at 3T (Discovery 750; GE Healthcare, Waukesha, WI) using a 12-channel, receive-only head and neck
phased-array coil. The eight different
QSM combinations (all of which are 3D, multi-echo gradient-echo, with 1.0x1.0x1.0 mm
3
voxels) were acquired in different randomized order for each session,
co-registered to an anatomical atlas, and referenced to cerebrospinal fluid.
The average and standard deviation (SD) susceptibilities in the caudate,
putamen, red nucleus, internal and external globus pallidi were used in a
linear mixed effects model
3 (LME) to determine the influence of the
various acquisition parameters. The
fixed effects are the readout gradient polarity, acceleration factor, and
gradient-warp correction, whereas the random effects are the repeats and
tissues, both grouped by subject.
Results
We
had 480 observations (4 subjects, 3 repeats, 8 QSM variants, 5 tissues) and excluded
21 outliers such that we used 459 samples in the LME analysis. The initial LME models of the average and SD of susceptibility
(Tables 1 and 2, respectively) used all four subjects and included all fixed
effects and their interactions, along with all random effects and their
interactions. The intercept denotes the internally defined reference (subject
1, repeat 1, caudate, unipolar readout gradient, non-accelerated, gradient-warp
correction on). The very small
p-values
indicate that the average and SD susceptibility are significantly different
than zero. The only other statistically significant fixed effects coefficient
was gradient-warp correction (GW_Off). To increase the power of our analysis,
we pooled all of the non-significant effects accordingly and defined simpler
LME models that included only the intercept, gradient-warp correction and the
random effects (Tables 3 and 4). Likelihood ratio tests (
p-values of 0.21 and 0.57 for the average and SD analyses,
respectively) showed that the simpler LME models are not statistically
different than their more complicated counterparts, so the simpler LME models are
preferred. From the estimates in Tables 3 and 4, gradient-warp correction off
increases the average and SD susceptibility by 5.5% and 2.8%, respectively.
Conclusion
In the deep gray matter
structures of healthy adults, readout gradient polarity and accelerated
parallel imaging do not alter the susceptibility estimate. With gradient-warp
correction on, the geometric fidelity is higher, but the average and SD
estimates of susceptibility were found to be 3-5% lower.
Acknowledgements
Canada Foundation for
Innovation, the Canadian Institutes of Health Research, the Natural Sciences
and Engineering Research Council of Canada, and the University of Calgary
Hopewell Professorship in Brain Imaging Research.References
1Haacke et
al. Magn Reson Med 2004;52:612. 2de
Rochefort et al. Magn Reson Med 2008;60:1003. 3Henderson et al. Biometrics 1959;15:192.