Laurentius Huber1, Dimo Ivanov2, Sean Marrett1, Puja Panwar1, Kamil Uludag2, Peter A Bandettini1, and Benedikt A Poser2
1Section of Functional Imaging Methods, National Institute of Mental Health, Bethesda, MD, United States, 2MBIC, Maastricht University, Maastricht, Netherlands
Synopsis
Cerebral blood volume (CBV) fMRI has the potential
to overcome known limitations of BOLD fMRI with respect to spatial specificity
and quantifiability of mapping brain activity. To overcome the coverage
limitations of conventional CBV mapping with VASO, a novel VASO method with
3D-EPI readout was developed. This new approach is compared to BOLD fMRI and
VASO with simultaneous multi-slice EPI readout. We provide evidence for a high
sensitivity and improved specificity of 3D-EPI VASO compared to conventional
BOLD fMRI. We conclude that because of its superior resolution in
slice-direction, 3D-EPI VASO may play an important role in high-resolution
fMRI.Purpose
Quantitative cerebral blood volume (CBV) fMRI has
the potential to overcome several limitations of BOLD fMRI. In particular, it
helps to understand the underlying neuro-vascular coupling in positive and
negative BOLD responses and offers superior localization specificity.
Non-invasive CBV-fMRI with VASO, however, is inherently a single-slice approach
and limited with respect to its field-of-view (FOV) [1]. This limitation can be
overcome with advanced readout strategies such as simultaneous multi-slice
(SMS) EPI [2] or 3D-EPI [3]. SMS-VASO has recently been used to obtain
promising high-resolution CBV maps [4], however, with limited slice resolution.
The purpose of this study is to develop and evaluate a new fMRI sampling
strategy that combines VASO contrast with a 3D-EPI readout module. The
performance of 3D-EPI-VASO is investigated with respect to its sensitivity and
specificity to neural activity changes and compared with those of SMS-VASO and
also standard BOLD fMRI.
Methods
Experiments were performed on
a 7T Siemens scanner with a 32-channel NOVA head-coil. For simultaneous BOLD
and CBV weighting, the SS-SI-VASO inversion preparation scheme was used [5]. We
tested the new method in four pilot experiments of two volunteers. Sequence
parameters of 3D-EPI and SMS were separately optimized to have the same FOV and
were kept as similar as possible. Both approaches had the same TI1/TI2/TR=1.1/2.6/3.0s, bandwidth/Px=1860Hz,
#slices=28, in-plane GRAPPA=2, in-plane partial-Fourier=7/8 and in-plane
resolution=1.5×1.5mm
2. To investigate the effective resolution in
slice direction, the slice thickness was varied between 1.2-3mm in both SMS and
3D-EPI. SMS-specific parameters were: SMS-factor=4, blipped-CAIPI FOV-shift=1/3,
TE=18ms, flip-angle=90°,
excitation-pulse bandwidth-time-product=5.2. 3D-EPI-specific parameters were: through-plane GRAPPA=2,
slice-partial-Fourier=7/8, TE=22 ms, flip-angle≈15°-25°,
#segments=14, slab-selective excitation bandwidth-time-product=25. Please note the different
acceleration for 3D-EPI and SMS-EPI, which is a result of advanced
partial-Fourier imaging possible in 3D-EPI and the longer possible readout
train within the VASO-specific timing constraints (TI/TR) with the 3D-k-space
out-center-out (aka ‘linear’) trajectory. SMS-EPI unaliasing is done with split
slice GRAPPA (MGH
blipCAIPI C2P [2,6] (http://www.nmr.mgh.harvard.edu/software/c2p/sms). To investigate the
specificity and sensitivity to neural activity changes, a 6-min finger tapping
experiments (blocks of 30 s stimulation and 30 s rest) were conducted.
Statistical activation and smoothness was estimated with FSL [7].
Results
Figure 1 shows the functional activation maps of CBV
and BOLD acquired with 3D-EPI and SMS-EPI from one representative participant. The
activation in CBV is on both sides of the central sulcus but not in between,
while BOLD activation covers also CSF/vein in the sulcus (orange arrow in Fig.
1). 3D-EPI-VASO provides sufficient contrast-to-noise ratio to detect deactivation
in the ipsilateral sensory cortex (blue arrows in Fig. 1) and the small
excitatory activity in ipsilateral M1 (red arrows in Fig. 1), similar to BOLD
fMRI. Representative maps of tSNR can be seen in Fig. 2. VASO tSNR in 3D-EPI is
homogeneous across slices, while the different slice-dependent inversion times
in SMS-VASO result in a heterogeneous tSNR (blue arrows in Fig. 2). Table 1 in Fig. 3
shows that 3D-EPI-VASO has approximately the same average tSNR compared to
SMS-EPI, while yielding a higher resolution in the slice direction.
Discussion
The superior
specificity of CBV-fMRI compared to conventional BOLD-fMRI is consistent with
previous VASO studies [4,5]. The lower tSNR of 3D-EPI-VASO in the central imaging
region is attributed to the lack of CAIPIRINHA-sampling in the 3D-EPI experiment
compared to the blipped-CAIPI SMS-EPI (green arrows in Fig. 2). This results in
higher g-factors, which can be addressed by 3D-CAIPI-EPI as previsouly shown [8,9].
The fact that VASO tSNR is comparable for 3D-EPI and SMS-EPI, but not in the
BOLD signal, might arise from the different relative physiological and thermal
noise contributions in the two contrasts, and the different spin history in
BOLD and VASO imaging, when different flip angles are used in 3D-EPI and
SMS-EPI. The higher slice resolution
in 3D-EPI is consistent with slice profile imperfections in 2D-imaging. The
proposed 3D-EPI VASO is currently being evaluated and optimized on a larger
number of subjects, in order to more fully characterize its performance and
inter-subject stability.
Conclusion
We combined VASO with
3D-EPI readout to increase the FOV comparable to conventional BOLD fMRI.
3D-EPI-VASO has superior localization specificity without the sensitivity to
large draining veins within the central sulcus. Concurrently, it has enough
sensitivity to detect small inhibitory areas in ipsilateral S1. 3D-EPI-VASO offers
a higher resolution in the slice direction compared to SMS-VASO with comparable
tSNR. Therefore, it may play an important role in high-resolution
(layer-dependent) fMRI [5].
Acknowledgements
We thank Joelle Sarlls
for her structure-phantom during sequence testing. We thank Steve Cauley for sharing
the interface to his online SMS reconstruction on the scanner, which was used
for the recon of the SMS-EPI VASO.References
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