JaeKyun Ryu1,2, WonBeom Jung1,2, Sun Young Chae1,3, Geun-Ho Im4,5, Jung Hee Lee1,3,4, Seong-gi Kim1,2, and Jang-Yeon Park1,2
1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering Sungkyunkwan University (SKKU), Suwon, Korea, Republic of, 3Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea, Republic of, 4Center for Molecular and Cellular Imaging, Samsung Biomedical Research Institute, Seoul, Korea, Republic of, 5Department of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea, Republic of
Synopsis
One version of a new ultrafast
gradient-echo-based 3D imaging technique using spatiotemporal encoding (RASE-II)
is proposed which provides constant TE across all
spins. RASE-II maintains most
of appealing features of other spin-echo-based
SPEN imaging methods such as no Nyquist ghosting and high tolerance to field
inhomogeneities. RASE-II also has less sensitivity not only to SAR
and B1-inhomogeneity
effects because of low flip angles, but also to T2* signal
modulation due to constant TE. As a promising tool for fMRI, RASE-II shows
significant improvement of tSNR over GE-EPI.
Its performance is demonstrated by lemon and in-vivo rat brain imaging at 9.4T.
Purpose
A new ultrafast gradient-echo-based 3D imaging method is
proposed using spatiotemporal encoding1, 2 (SPEN), which is dubbed
RASE (Rapid Acquisition with Sequential Excitation). Two versions of RASE (I
and II) are available: One is to enable a much shorter effective TE than EPI
counter parts and the other provides constant TE across an object to be imaged.
Here the
second one (RASE-II) is introduced and demonstrated by lemon and in-vivo rat brain imaging on a 9.4-T (Bruker-BioSpec, 94/30 US/R) animal scanner. A potential application for fMRI
was also tested by examining tSNR
maps from time series.Method
The sequence diagram of RASE-II is
illustrated in Fig.1a. A frequency-swept chirp pulse is used for sequential spin
excitation which produces a quadratic phase that localizes a signal in both
time and space during data acquisition in the presence of gradient. In RASE-II,
spin excitation and data acquisition are performed with the same duration and,
between them, a rephasing gradient is
applied to make all the spins experience constant TE (Fig.1b). Also note that
the slab-selective direction is spatiotemporally encoded, which allows a
flexibility for reducing the echo train length and the effective TE3.
For
demonstration, high-resolution lemon and in-vivo rat brain imaging was performed
using a single-channel transceiver volume coil with 72-mm diameter and a surface
coil with 35-mm diameter, respectively. Images were reconstructed offline with MATLAB
(ver.8.2.0; R2013b) using the super-resolution algorithm4. For
lemon imaging, 2D-GRE, GE-EPI, and RASE-II
sequences were used for comparison. Scan parameters in common were: FOV = 65×65 mm2, matrix = 128×128,
number of slices = 48, slice thickness (THK) = 0.3125 mm. In GRE imaging as a reference, TR/TE =
310/3 ms, flip angle (FA) = 33°. In GE-EPI imaging, volume-TR/TE = 3,600/36.6
ms, FA
= 90°. For RASE-II imaging, shot-TR/TE
= 57/29.5 ms, FA
(Ernst angle) = 14.3°, R-value (pulse_length × bandwidth) = 256.
In-vivo rat brain imaging was performed using GE-EPI and RASE-II. To
evaluate temporal signal fluctuations, time series were acquired in the resting
state with 60 volumes and tSNR maps
were calculated by dividing the
temporal mean value of each voxel by the temporal standard deviation. Same
scan parameters were: volume-TR/TE = 2,400/20 ms, FOV = 30×15 mm2, matrix = 96×48,
number of slices = 48, THK = 0.3125 mm, FA (Ernst angle) = 75°(GE-EPI),
13.4°(RASE-II). In RASE-II imaging, shot-TR = 50 ms, R-value = 64.Results
Figure
2 shows lemon images from 2D-GRE (a), GE-EPI (b), RASE-II (c). RASE-II provided better image quality with less
distortion than GE-EPI because of higher tolerance
to field inhomogeneites due to larger gradient amplitudes as
well as less T2*
effects due to local rephasing mechanism in the SPEN direction. Figure 3 shows
axial images of in-vivo rat brain (a,
c), their tSNR maps (b, d), and the
histogram of tSNR distribution in the
brain area (e) obtained from GE-EPI and RASE-II. It
is clearly shown that tSNR
of RASE-II was overall higher than that of GE-EPI, as it was previously
reported that 3D imaging provides better tSNR than 2D counterparts in case that
thermal noises are dominant compared to physiological noises, e.g., in
high-resolution 3D imaging5, 6.Discussion & Conclusion
Despite
a gradient-echo-based acquisition
scheme, RASE-II inherits most of appealing features of other spin-echo-based SPEN imaging methods such
as no Nyquist ghosting in the SPEN direction and higher immunity to geometric distortions
due to field inhomogeneities than EPI counterparts1, 2. In addition, low flip angles make RASE-II less sensitive
to specific absorption rate (SAR) and B1-inhomogeneity.
Moreover, since RASE-II
is able to provide constant TE across
all spins, it is barely affected by T2*
signal modulation seen in GE-EPI. With regard to fMRI, the
3D characteristics of RASE-II with low flip angle reduces inflow effects as
well as physiological noises7. As shown in Fig.3, high-resolution RASE-II
imaging significantly improves tSNR over
GE-EPI in the resting-state fMRI scheme.
In
conclusion, RASE-II will be promising in many GE-EPI
applications including fMRI, especially offering more benefits at ultrahigh
fields, e.g., 7 T and above.Acknowledgements
This work was supported by
IBS-R015-D1References
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