SoHyun Han1,2, Congyu Liao1,2, Mary Kate Manhard1,2, Jonathan R. Polimeni1,2,3, and Kawin Setsompop1,2,3
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States, 3Harvard-MIT Division of Health Science and Technology, Cambridge, MA, United States
Synopsis
High spatiotemporal resolution spin-echo fMRI is challenging
as it requires a long echo time to generate BOLD-contrast, resulting in longer
repetition times. We propose a new technique, Multisection Excitation by
Simultaneous Spin-echo Interleaving (MESSI), which utilizes the dead time in long
TE acquisitions to improve the slice-coverage of SE-fMRI. For further
accelerations, we combine the MESSI with both ‘complex-basis’ RF-encoded gSlider
and conventional-SMS. Compared with standard SE-EPI acquisition with the same
TR, the proposed MESSI-gSlider acquisition shows comparable tSNR but with eight-fold
increase in slice-coverage. This method should be beneficial for applications
requiring high spatiotemporal resolution SE-fMRI with whole-brain coverage.
Introduction
Spin-echo(SE)-fMRI has shown to provide improved BOLD spatial
specificity when compare to gradient-echo(GE)-fMRI1-4. However, high
spatiotemporal SE-fMRI is difficult to achieve due to the long echo times(TE)
to generate BOLD-contrast, resulting in long repetition times(TR). Simultaneous
Multi-Slice(SMS) provides increased temporal efficiency of fMRI5-9,
and faster temporal sampling has been beneficial in many domains8,10-11;
however, MB acceleration is limited by the total acceleration-factor (Rtotal=Rinplane×MB), which is typically set to 6–8 to avoid
large g-factor noise. To achieve SE-fMRI with high-spatial specificity, high Rinplane-acceleration is used
to limit distortion and image blurring, thereby limiting MB-acceleration
capability. To overcome this limitation, we previously developed ‘complex-basis’
RF-encoded gSlider12 that achieves a 2× gain in slice-coverage without
temporal smoothing. Here, we propose a new technique, Multisection Excitation
by Simultaneous Spin-echo Interleaving (MESSI), which utilizes the dead time in
long-TE acquisitions13-14 to improve the slice-coverage of SE-fMRI. MESSI
is then combined with both ‘complex-basis’ gSlider12 and
conventional-SMS to provide 8× slice-acceleration for SE-fMRI at Rinplane=4. Using this
technique, SE-fMRI experiments with sensory stimulation and with a breath-hold
task were performed and compared with conventional-SMS at MB-2 to demonstrate that
a 4× increase in slice-coverage can be achieved with minimal penalty.Methods
The MESSI-gSlider sequence diagram and excitation
scheme are shown in Fig.1. To excite two different slice-groups simultaneously in
the MESSI sequence (denoted as MESSI-1 and MESSI-2), the following components were
added to the conventional-SE-EPI sequence as depicted in Fig.1A: i) an additional
readout and 90° and 180° pulses for MESSI-2-group (blue-colored pulses and SE)
with a TE matched to the MESSI-1-group, ii) to separate the k-spaces of the two MESSI-groups, two
dephasing-gradients (green-colored gradients) that dephase signal pathways for
both MESSI-groups, iii) two rephasing-gradients for MESSI-1-group (red-colored
gradients), and iv) two rephasing-gradients for MESSI-2-group (blue-colored
gradients). The effect of the spins of the MESSI sequence in the cases where kfactor is set to 1 or 2 is
illustrated in Figs.2A and 2B, respectively. Rephasing-gradients for MESSI-1-group
rephase spins in the readout for MESSI-1-group while dephasing magnetization
from MESSI-2-group. The same is true for the rephasing gradients for the MESSI-2-group.
Increasing the value of kfactor
increases the signal dephasing between the MESSI-slice-groups and reduces
potential high k-space signal-leakage.
Data were collected from three healthy subjects using a 3T Siemens Prisma
scanner with the vendor-supplied 32-channel coil. To directly investigate the
level of signal-leakage between MESSI slice-groups, either MESSI-1 or MESSI-2
pulses were set to 0° with kfactor
set to 1 or 2. To compare MESSI-gSlider against conventional-SMS and gSlider, two
fMRI experiments were conducted, visual stimulation and a breath-hold task. Scans
for all methods were acquired at the same TR. For visual stimulation, the
subject viewed four 36s (12-s on, 20-s off) runs of flashing “checkboard”
stimulus. For the timed breath-hold task, the subject was cued to hold their
breath for 12-s followed by 30-s of free breathing with four-trials/run. The scan
protocols for the fMRI experiments were as follows: TR/TE=2000/75ms, FOVxy=210×210mm2,
p.f.=6/8, 1.5mm isotropic resolution, including (i) conventional-SMS with Rinplane×MB=4×2, 22-slices, FOVz=33mm, (ii) gSlider with Rinplane×MB×gSlider=4×2×2, 44-slices, FOVz=66mm, and (iii) MESSI-gSlider
with Rinplane×MB×gSlider×MESSI=4×2×2×2, 84-slices, FOVz=126mm,
kfactor=2.Results
Figs.2A-2 and 2B-2 show the signal-leakage between the
MESSI-groups for acquisitions with kfactor=1
and 2. Compared to the kfactor=1
case, the kfactor=2 case
shows substantially less signal-leakage, as expected. Moreover, the leakage
from MESSI-1 into MESSI-2 slice-group is small in both kfactor=1 and 2 cases
as the leakage has undergone large T2
and T2* decays.
Fig.3 shows that comparable image-quality and tSNR can be obtained from conventional-SMS,
gSlider, and MESSI-gSlider acquisitions. Fig.4 demonstrates the extended slice-coverage
in sagittal and coronal views, where gSlider and MESSI-gSlider exhibit similar
image-quality to conventional-SMS, while achieving 2× and 4×
slice-acceleration,
respectively. In particular, the MESSI-gSlider acquisition enables whole-brain
coverage at 1.5mm isotropic resolution. Finally, Fig.5 shows the feasibility of
fMRI using MESSI-gSlider, with z-statistic maps (FSL-Feat) of conventional-SMS, gSlider and MESSI-gSlider. For
both fMRI experiments, the MESSI-gSlider method maintains high-temporal resolution
at 2× brain coverage when compared to gSlider alone, while exhibiting comparable
activation patterns. The similarity of activation maps between the acquisitions
indicates that fMRI sensitivity is not compromised from the addition of MESSI.Discussion and Conclusion
We proposed a MESSI-gSlider-SMS sequence to accelerate
SE-fMRI, which enables 4×
increased slice-coverage with minimal penalty compared with the conventional-SMS
acquisition. Although SE-BOLD reduces sensitivity compared to
GE-BOLD15, future work will focus on applying this method to
ultra-high field SE-fMRI, where the T2-weighting
should improve microvascular specificity. Additionally, the higher-resolution
imaging at ultra-high field may greatly benefit from the 4-fold increase in slice-coverage.Acknowledgements
This work was supported in
part by the NIH NIBIB (grants R01-MH116173, R01-EB020613, P41-EB015896,
U01-EB025162 and R01-EB019437), by the BRAIN
Initiative (NIH NIMH grant R01-MH111419), by the shared instrumentation
(grants S10RR023401, S10RR019307, S10RR019254, S10RR023043) and by the MGH/HST
Athinoula A. Martinos Center for Biomedical Imaging.
We thank Anna I. Blazejewska for helping with fMRI
experiments and Daniel Park for helping with implementing MESSI-gSlider
sequence.References
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