Yidi Lu1, Chia-Yin Wu1,2,3, Jin Jin2,4, Shota Hodono1, Donald Maillet1, David Reutens1,2, and Martijn Cloos1,2
1Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2ARC Training Centre for Innovation in Biomedical Imaging Technology, The University of Queensland, Brisbane, Australia, 3School of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, Australia, 4Siemens Healthcare Pty Ltd, Brisbane, Australia
Synopsis
Keywords: fMRI Acquisition, Parallel Transmit & Multiband
Motivation: While pTx has been shown to improve the temporal signal-to-noise ratio (tSNR) in fMRI, it is not clear how variations in pulse fidelity between scans modulate tSNR and how this impacts fMRI studies using pTx.
Goal(s): To study whether the improved tSNR obtained with pTx in fMRI is reproducible across multiple scans of the same subject.
Approach: We scanned and rescanned two subjects using both traditional and pTx excitations, and examined the variation in tSNRs between the scans.
Results: Traditional and pTx excitations demonstrated comparable reproducibility in tSNR.
Impact: The improved tSNRs
obtained using pTx were consistent across scans of the same subject,
demonstrating inter-scan variations comparable with traditional single channel excitations.
Collectively, these preliminary results suggest that pTx can be used with reproducibility confidence
in fMRI studies.
Introduction
Ultra-high field
(UHF) strengths improve the signal-to-noise ratio (SNR) and enhance the
sensitivity to blood oxygenation level dependent signal variations in
functional Magnetic Resonance Imaging (fMRI)1,2. However, non-uniformities
in the transmit field (B1+) lead to spatially varied
SNR and contrast3. One way to mitigate this artifact is using
parallel transmission (pTx)4-7. When the temporal SNR (tSNR) is not yet dominated by physiological noise8, the increased SNR obtained using pTx
translates into better tSNR in fMRI9,10. However, unlike the conventional
singe-channel measurements using the Circularly Polarized (CP) mode, pTx pulses
are tailored to each scan. Therefore, pTx performance may vary, even between
scans on the same subject. Here we investigated the reproducibility of pTx
in a scan-rescan, whole-brain task-based fMRI study at 7T.
Methods
Paradigm: The study, approved
by the local human research ethics committee, involved two healthy subjects who
provided written informed consent. Each subject underwent two scans one week
apart (±3days). In each scan they performed motor and visual tasks. For
the motor task, subjects followed a visual cue to rhythmically (2Hz)
squeeze their left and right hand asynchronously (Fig.1a). Task
performance was recorded using squeeze balls (Fig.1c). The visual task alternated between a flashing noise
pattern (8Hz, 4s) and a grey background (8s) (Fig.1b). Motor and visual tasks
lasted 5.6min and 2.4min in each run.
Data acquisition: Experiments were performed
using a 7 Tesla whole-body MRI scanner (Siemens Healthcare,
Erlangen, Germany) with an 8tx/32rx coil (Nova Medical, Wilmington, MA, USA). Calibration
data was collected using an SA2RAGE11 (TRoverall/TE/TD1/TD2=2400/2.2/10/1700ms, 4x4x4mm3)
and a 2D interleaved GRE (TR/TE=300/3ms, 4x4x4mm3).
T2*-weighted images (TR/TE=1420/12ms, 2x2x2mm3) were collected to
make brain masks (BET12, Brain Extraction Tool,
FMRIB’s software library, www.fmrib.ox.ac.uk/fsl, version 6.0.4). Non-selective
water excitation kT-points7,13
using sixteen 60µs sub-pulses, were designed using the magnitude least square spatial
domain method14,15.
Anatomical data was acquired using an MP2RAGE16
(TR/TI1/TI2/TE=4300/840/2450/1.99ms, 0.75x0.75x0.75mm3, FOV=156x225x240mm3). Functional data was collected using a research 3D
GRE-EPI17,18,
twice using CP pulses, and twice using pTx pulses (Sagittal acquisition, TRvol/TR/TE=2257/37/19ms,
flip angle=12°, 1.5x1.5x1.5mm3, FOV=180x240x240mm3).
Pre-processing: Motion correction
(SPM19,
Statistical Parametric Mapping, www.fil.ion.ucl.ac.uk/spm, version 12) and
brain extraction (FSL-BET12) were performed on functional and anatomical images. Smoothing (FWHM=3mm, SPM19) was applied to
functional images. tSNR was calculated as the mean image divided by the
time series standard deviation and registered to an MNI152-1mm standard brain. SNR was estimated from the mean image over the
standard deviation of background signals (outside the head). Co-registered tSNRs
were averaged across subjects to calculate the tSNR improvement (%) in
pTx. Mean SNRs/tSNRs within selected ROIs (from FSL atlas) were computed to assess variation between runs/scans.Results & Discussion
pTx improved the SNR in areas like the cerebellum and the primary visual cortex (V1), shifting their
tSNRs along the asymptotic curve towards the physiological noise dominated regime (Fig.2). In ROIs with high baseline SNRs (~130), the tSNR improvements diminished (i.e., physiological noise dominated regime). For visual runs with less motion, the fitted
curve positioned higher and exhibited a slightly steeper slope than motor
runs. Figure 2 also demonstrates tSNR was not yet saturated in key areas,
indicating the SNR gain with pTx still resulted in improved tSNR. Figure 3 shows pTx
improved tSNR by
up to 30% in the cerebellum during motor runs and up to 40% in V1 during visual runs, enhancing brain activity detection. In contrast, areas like
thalamus showed slightly higher SNR and tSNR in CP due to high B1+ and lower T1. Therefore, pTx can evidently improve tSNR only when the SNR is greatly improved and the tSNR is not saturated.
Figure 4 presents SNR/tSNRs for intra-session and
inter-session runs. Intra-session runs in both CP and pTx maintained consistent
SNR, with tSNR variations primarily attributable to physiological noise. Inter-scan
SNR differences were higher than intra-scan due to subject relocation and
different pTx pulse designs. Notably, inter-scan tSNR variations in CP and pTx
were more pronounced in inferior brain regions (e.g., inferior parietal lobule
~13% with visual tasks) than the cerebellum (~3% with either task). These
variations were comparable to intra-scan variations (motor) and might be influenced by
ROI size or proximity to brain edges. In summary, no significant differences in
inter-scan tSNR variations were observed between CP and pTx for both subjects.Conclusion
These initial findings suggest
pTx can provide improved tSNRs with reproducibility similar to conventional
single channel solutions. However, it should be appreciated that the tSNR improvements
in pTx is only achieved when far
from the
physiological noise dominated regime. Further studies with more subjects are needed to confirm these findings hold true across a larger subject set.Acknowledgements
This work was
supported by ARC Future fellowship grant FT200100329. The authors
acknowledge the facilities of the National Imaging Facility at the Centre for
Advanced Imaging.References
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