Kaibao Sun1, Guangyu Dan1,2, Alessandro Scotti1, Muge Karaman1,2, Qingfei Luo1, and Xiaohong Joe Zhou1,2,3
1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Biomedical Engineering, University of Illinois at Chicago, Chicago, IL, United States, 3Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States
Synopsis
Functional
MRI (fMRI) is typically performed with whole brain coverage, even when only a small
brain area is of interest. Although zoomed fMRI has been demonstrated using 2D
multi-slice acquisitions, extending this capability to 3D focused volume has not
been well explored. We have implemented a 3D reduced field-of-view technique
for fMRI by using a 2D RF pulse and applied this technique to a visual fMRI
study on ten subjects. Compared to a conventional fMRI sequence with a full field-of-view,
our technique produced high isotropic spatial resolution and reduced image
distortion, despite a moderate reduction in temporal signal-to-noise ratio.
Introduction:
Function
MRI (fMRI) is typically performed with a field-of-view (FOV) covering the
entire brain. When only a specific brain area (or areas) is of interest, fMRI can
be performed over a reduced FOV to increase the spatial resolution, shorten the
TR, and/or reduce image distortion 1–3. Existing
techniques, however, are limited to two-dimensional (2D) multi-slice imaging. Recently,
a three-dimensional reduced field-of-view imaging (3D-rFOVI) technique was
reported, allowing zoomed acquisition in all three directions 4. This capability
can enhance 3D fMRI acquisitions, as 3D fMRI is becoming increasingly popular 5–7. The purpose of
the present study is to apply 3D rFOVI to a gradient-echo EPI (GRE-EPI) sequence
for high-resolution 3D fMRI over a zoomed volume. To demonstrate its advantage,
the results from 3D-rFOVI are compared with those from conventional 3D full-FOV
GRE-EPI.Methods:
3D-rFOVI sequence:
3D-rFOVI
employs a 2D RF pulse to excite a slab along the conventional slice-selection
direction (i.e., z-direction) while limiting the
spatial extent along the phase-encoded direction (i.e., y-direction) within the
slab (Figure 1A). The FOV along the readout direction
(i.e., x-direction) is restricted by taking advantage of the anti-aliasing
filter in the RF receiver system (Figure 1B). A stepping phase-encoding
gradient is applied to provide spatial encoding along the z-direction, while
in-slab phase-encoding is accomplished by the EPI blip gradient along the
y-direction. 3D r-FOVI can produce isotropic high spatial resolution and reduce
image distortion caused by off-resonance effects, such as magnetic
susceptibility variations. In our design, the 2D RF pulse employed eleven
sub-pulses, each with a time-bandwidth product (TBP) of 3.01. The amplitude of
these sub-pulses was modulated by an envelope RF pulse whose TBP was 3.53 and
pulse width was 14.7 ms (Figure 1A). Both the sub-pulses and the envelope pulse
were designed using a Shinnar-Le-Roux algorithm with a linear phase 8. An EPI-like fly-back
gradient was played out concurrently with the RF pulses to traverse excitation
k-space while avoiding Nyquist ghosts 1,9. The main
excitation band in the spatial response of the 2D RF pulse was used for 3D volume
localization, and the side bands were positioned outside the imaged object.
Image acquisition and processing:
The 3D-rFOVI technique was implemented in
a GRE-EPI sequence on a GE MR750 3T scanner with a
32-channel head coil. In the fMRI experiments with visual stimulation, ten healthy human subjects (4
female, 6 male; 29.4 ± 6.1 years) were scanned using the 3D-rFOV
GRE-EPI sequence with the following parameters: TR/TE = 100/30 ms, TRvol
= 2 s, number of volumes = 120, flip angle = 20°, FOV = 120×120 mm2,
slab thickness = 38 mm, acquisition matrix = 64×64×20, and isotropic spatial
resolution = 1.9×1.9×1.9 mm3. For
comparison, images in the same imaging slab were also acquired using a 3D
GRE-EPI sequence with a full FOV of 240×240×38 mm3 and an
acquisition matrix of 128×128×20. Visual stimulation was delivered with a
dark-gray and light-gray checkboard pattern flashing at 8 Hz. Our block-design
paradigm contained six 40 s blocks, each with a 20 s stimulation followed by a
20 s rest. The total acquisition time was 4 min. Subjects were asked to fixate
on the cross-hair presented at the center of visual field during the
experiment. All data were analyzed using SPM8 on MATLAB 2021a. Data
preprocessing included image realignment and spatial smoothing with a 3 mm
full-width-at-half-maximum Gaussian kernel. A general linear model was applied
for visual activation detection with a threshold of P < 0.05 (FWE-corrected)
and spatial cluster size of at least 30 pixels.Results:
A
set of human brain images acquired using 3D full-FOV and 3D-rFOV GRE-EPI are
displayed in Figure 2. 3D-rFOVI successfully excited a zoomed volume at the
virtual cortex, where virtually no geometric distortion was observed. Compared
with 3D full-FOV imaging, 3D-rFOVI reduced temporal SNR (tSNR) in the visual
cortex by ~13% (Figure 3). Figure 4 illustrates five contiguous visual fMRI
activation maps from a presentative subject for the two sequences. Decreased
activated volume was detected in 3D-rFOV GRE-EPI, which was a reflection of
reduced tSNR due to fewer k-space sampling points. The average time courses across
the ten subjects at the visual cortex are shown in Figure 5, where the 3D-rFOV sequence
produced similar BOLD signal changes (~4%) as the 3D full-FOV sequence.Discussion and Conclusion:
We
have demonstrated a novel 3D-rFOV fMRI technique that targets at a specific 3D functional
region in the brain. Compared with 3D full-FOV fMRI, the new strategy can
produce isotropic high spatial resolution while providing resilience to
geometric distortion. A downside was the reduced activated volume, likely due
to the lower tSNR as a result of reduced k-space sampling. The benefits of
using 3D-rFOV for fMRI are expected to be greater at a higher magnetic field
where the need for image distortion reduction is more prominent due to the
increased off-resonance effects and where the improved tSNR can better support zoomed
fMRI activation detection.Acknowledgements
This
work was supported in part by the National Institutes of Health
(5R01EB026716-01 and 1S10RR028898-01) and a Chancellor’s Translational Research
Initiative (CTRI) Grant. The content is solely the responsibility of the
authors and does not necessarily represent the official views of the National Institutes of
Health. We thank Dr. Y.
Sui of Mayo Clinic for helpful discussions and the artwork used in Figure 1B.References
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