Xiufeng Li1, Dingxin Wang1,2, Edward J. Auerbach1, Steen Moeller1, Gregory J. Metzger1, and Kamil Ugurbil1
1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Siemens Medical Solutions USA Inc., Minneapolis, MN, United States
Synopsis
Recent studies have demonstrated the benefits of
multi-band (MB) EPI for high-resolution whole brain PCASL imaging. However, the
intrinsic nature of spatially interleaved simultaneous slice acquisition of
MB-EPI requires a post-labeling delay larger than the longest arterial transit time in the
brain, resulting in SNR efficiencies in the inferior or middle-inferior slices only
comparable to or lower than those in SB-EPI PCASL imaging. To overcome the limitations
of traditional MB-EPI and further improve SNR efficiencies of whole-brain
high-resolution PCASL imaging, an alternative imaging acquisition strategy has
been proposed and demonstrated: Time Efficient ASL Imaging
with Segmented Multiband-acquisition (TEAISM).PURPOSE
Multi-band (MB) echo planar imaging (EPI)
1,2
has been applied for pseudo-continuous arterial spin labeling (PCASL)
imaging
3,4 on both 3T and 7T
5,6. Particularly, recent
high-resolution whole brain MB-EPI PCASL imaging study indicates that 1) MB-EPI significantly increases
spatial and temporal perfusion signal-to-noise ratio (SNR) efficiencies and 2) improves the accuracy of cerebral
blood flow (CBF) quantification, and that 3)
confounding factors induced by MB-EPI, such as leakage contaminations, have negligible effects on cerebral blood flow (CBF)
quantification
7.
However,
in contrast to single-band (SB) EPI PCASL imaging, MB-EPI PCASL imaging
requires a much longer post-labeling delay (PLD) to allow labeled blood to
reach arterioles or capillary bed in order to avoid intravascular artifacts in
brain regions with the longest arterial transit time because the slices
covering the whole brain are acquired in a spatially interleaved fashion in
MB-EPI acquisition. Unfortunately, the use of a long PLD causes perfusion SNR
efficiencies in the inferior brain region comparable not better than those of standard
SB-EPI PCASL imaging even when a MB factor as high as 6 is employed
7. Furthermore,
using a high MB factor (e.g. 6) for the whole brain also results in perfusion
SNR efficiencies in some middle-inferior slices lower than those in standard SB-EPI
PCASL imaging due to elevated thermal noise or g-factor penalty resulting from
slice-GRAPPA. To overcome these limitations and
further improve SNR efficiencies for whole-brain high-resolution MB-EPI PCASL imaging,
an alternative imaging acquisition strategy has been proposed and demonstrated:
Time
Efficient
ASL
Imaging with
Segmented
Multiband-acquisition
(TEAISM).
METHODS
Studies with healthy
volunteers were performed on a Siemens
3T MRI
scanner using a 32-channel head coil under an IRB
approved protocol with informed written consent. TEAISM divides imaging slices
into two groups: one consisting of inferior slices and another consisting
of the rest, and applies different MB factors, smaller than that needed for the
imaging with a single MB-EPI acquisition, for each slice group (Figure 1). The high-resolution whole brain MRI parameters for both SB- and MB-EPI acquisitions
were the same as those used in previous studies (e.g. 2.5 x 2.5 x 3.0 mm
3
resolution and 36 slices)
7. In TEAISM, the 12 most inferior slices
were acquired with a MB factor of 1 (or SB-EPI) using the same PLD (PLD 1 =1.1 s)
as in standard SB-EPI PCASL acquisition, and the superior 24 slices were
acquired with a MB factor 4 using the same PLD (PLD 2 = 1.6 s) as in
traditional MB-EPI PCASL acquisition with a MB factor 6 (Figure 1). The same
image processing and analysis methods as previously defined were applied
7.
RESULTS AND DISCUSSION
Study
results suggest that TEAISM can provide extra benefits for whole brain
high-resolution PCASL imaging, not only further increasing both spatial and
temporal perfusion SNR efficiencies overall, but more importantly, providing superior SNR efficiencies for all slices (Figure 2) compared to SB-EPI PCASL imaging;
this confirmed our theoretical simulation results (not shown). The CBF maps
from one subject are presented in Figure 3.
In SB-EPI PCASL imaging, by taking
advantage of the small arterial transit time (ATT) in the inferior brain
region, a short PLD (e.g. 1.1 s) can be applied with ascending slice
acquisition order while avoiding intravascular artifacts. In traditional MB-EPI
PCASL imaging, the longest ATT in specific brain regions
(e.g. visual cortex) must be considered, leading to a long PLD (e.g. 1.6 s),
which reduces perfusion SNR efficiencies for the inferior or middle-inferior slices. In
TEAISM, by combining SB-EPI acquisition for inferior slices with MB-EPI
acquisition for the rest of the slices, the following extra benefits have been
successfully realized: 1) reducing g-factor penalty over the
whole brain; 2) maintaining or
further decreasing (e.g. using MB-EPI with a factor 6 for the rest 24 slice) imaging
repetition time; 3) avoiding or
minimizing the level of total leakage contamination, which increases with increasing MB factor, across the brain and
therefore further increasing perfusion signal stability and temporal SNR efficiency. The
overall net effect of these benefits will be higher spatial and temporal
perfusion SNR efficiencies across the whole brain compared to a single MB-EPI
or SB-EPI acquisition. TEAISM may also be a good alternative for PCASL
imaging with higher imaging resolution (e.g. 2 x 2 x 2 mm3) 8
where two different small MB factors can be applied for the inferior and other brain
regions; this is under current investigation.
CONCLUSION
Compared to imaging
acquisitions using traditional MB-EPI, TEAISM is a better alternative approach
to further boost perfusion SNR efficiencies for whole brain high-resolution
PCASL imaging.
Acknowledgements
P41 EB015894, P30 NS076408 and Human Connectome
Project (1U54 MH091657),
and UL1TR000114. The content is solely the responsibility of the authors and
does not necessarily represent the official views of the National Institutes of
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