Tie-bao Meng1, Haoqiang He1, Huiming Liu1, Weijing Zhang1, Chenghui Huang1, Long Qian2, and Chuanmiao Xie1
1Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China, 2MR Research, GE Healthcare, Beijing, China
Synopsis
In the
field of neuroscience, an emerging technology named relaxation quantitative MRI
(RQ-MRI) have demonstrated its great potential in both clinic and research.
Among those RQ-MRI related technologies, the synthetic MRI has moved rapidly towards
clinical application due to its acceptable acquisition time. However, how the
spatial resolution of synthetic MRI impacts the quantitative maps is still
largely unclear. To address this question, in current study, a total of 13 normal
subjects with four distinct spatial resolutions were applied. Our results
demonstrated that both the in-plane resolution and slice thickness have
significantly influence on the measured quantitative values.
Introduction
In the
field of cognitive neuroscience, an emerging technology named relaxation
quantitative MRI (RQ-MRI) have demonstrated its great potential in both clinic
and research. Among those RQ-MRI related technologies, the synthetic MRI has
moved rapidly towards clinical application due to its acceptable acquisition
time and available three quantitative metrics.1,2 However, previous
studies are focused on relatively large inter-slice spacing (>= 4 mm), which
results in a short time approximately equal to 5 minutes.3 In
cognitive neuroscience, high spatial resolution is essential to our research,
and some similar RQ-MRI technologies have provided spatial resolution nearly
equal to 1 mm isotropic.4 Hence, to investigate how those distinct
relatively high spatial resolutions of synthetic MRI impact the ultimate
quantitative maps. A total of 13 healthy subjects with four distinct spatial
resolutions were applied in current study.Methods
For each subject, MR scans were performed on a 3.0 T
whole body scanner (Signa Pioneer, GE, WI) with a 32-channel head coil. Axial
images were acquired using 3D BRAVO sequence and synthetic MRI (magnetic
resonance image compilation, MAGiC). All subjects were scanned using synthetic
MRI with four distinct spatial resolutions, including 2*2*2 (Group 1), 1*1*2
(Group 2), 1*1*3 (Group 3), 1*1*4 (Group 4). The other parameters were: TR =
10000 ms, TE = 21& 95 ms, interval = 0 mm, FOV = 25.6 cm, receiver
bandwidth 35.71 kHz. The parameters of 3D BRAVO were: TR = 7.3 ms, TE = min
full, slice thickness = 1 mm, FOV = 25.6 cm, image matrix = 256*256. The total
scan time was 44 minutes and 16 seconds. The quantitative maps were obtained
using SyMRI software. To extract the atlas based quantitative values, T1
anatomical images of each subjects were first co-registered to T1 map. Then,
the co-registered T1 images were normalized to MNI space using SPM12.
Thereafter, all the quantitative images could be transformed to MNI space.
Last, the AAL atlas were applied to all the normalized quantitative maps to
extract the values of the former 90 regions. Then, the results were analyzed by
paired t-test. A value of P < 0.05 were considered
statistically significant.Results and discussion
Among those
90 regions, a total of 13 language related brain regions were analyzed in
current study, including bilateral Precental gyrus (PreCG), Hippocampus (HIP), Thalamus
(THA), Postcentral gyrus (PoCG), left Inferior frontal gyrus opercular part (IFGoperc), Inferior frontal gyrus triangular part (IFGtriang), Heschl gyrus (HES), Superior temporal gyrus
(STG), Middle temporal gyrus (MTG). The T1, T2 and PD values of those 13 brain
regions derived from synthetic MRI with two distinct in-plane resolutions were
summarized in Table 1, and the
corresponding P-values and 95% confidence intervals between the Group 1 and 2 were demonstrated in Table 2. The brain regions with
significant different T1 values between the two in-plane resolution data
included IFGtriang.L, HIP.L, HIP.R, STG.L and MTG.L. With regard to T2 maps,
all the brain regions except for THA.L and THA.R showed significant difference.
Additionally, brain regions in IFGoperc.L, HIP.L, THA.L, STG.L and MTG.L showed
statistically significant different PD values (Table 2).
The T1, T2 and PD values of those 13 brain regions for the three
distinct slice thickness groups were summarized in Table 3, and the P-values and 95% confidence intervals among the three groups were demonstrated in Table 4. The brain regions with significant different T1 values
included THA.R between Group 2 and Group 3, and HIP.L, HIP.R, THA.L, THA.R,
HES.L, STG.L and MTG.L between the Group 2 and Group 4. With regard to T2 maps,
the significant brain regions included all the brain regions between the Group
2 and Group 4, all brain regions except THA.R and MTG.L between Group 3 and
Group 4, and PreCG.L, PreCG.R, HIP.L, HIP.R, PoCG.R, HES.L, STG.L, MTG.L
between Group 2 and Group 3. In addition, the regions with significant PD
values included PreCG.L, PreCG.R, PoCG.L, PoCG.R, THA.L between Group 2 and
Group 4, PreCG.L, PreCG.R, PoCG.L and PoCG.R, STG.L between Group 3 and Group 4
(Table 4).
Variations in in-plane and through-plane
resolutions had a substantially effect on quantitative T2 value. The
differences in discovered brain regions may associate with the variations in
the partial volume. Further, the different SNRs of the distinct images might
account for the different relaxation parameter values.5Conclusion
Our results
showed that the quantitative T1 and PD values of the selected brain regions
were relatively stable in some brain regions, while the quantitative T2 values
were greatly changed with distinct spatial resolution.Acknowledgements
No acknowledgement found.References
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