Jaeyong Yu1,2, Sugil Kim3, Jae-Kyun Ryu4, and Jang-Yeon Park1,2,4
1Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, Korea, Republic of, 3Siemens Healthineers, Seoul, Korea, Republic of, 4Biomedical Institute for Convergence at SKKU, Sungkyunkwan University, Suwon, Korea, Republic of
Synopsis
Acceleration
imaging techniques such as parallel imaging and simultaneous multi-slice (SMS)
imaging have been developed to achieve shorter acquisition time and larger FOV
and incorporated into various imaging techniques including ultrafast imaging
techniques such as echo-planar imaging (EPI). Here, we propose a new way to
accelerate 3D spatiotemporal encoding (SPEN) imaging by combining SMS with
controlled aliasing for parallel imaging results in higher acceleration
(CAIPIRINHA) and split slice generalized auto-calibrating partially parallel
acquisitions (Split Slice-GRAPPA).
Introduction
Acceleration imaging techniques such as parallel
imaging and simultaneous multi-slice (SMS) imaging have been developed to
achieve shorter acquisition time and larger FOV and incorporated into various
imaging techniques including ultrafast imaging techniques such as echo-planar
imaging (EPI). Parallel imaging and SMS imaging techniques were also used to
accelerate spatiotemporal encoding (SPEN) imaging which is non-conventional
type of ultrafast scanning method using non-Fourier encoding and have high
tolerance to B0 inhomogeneity effects including magnetic susceptibility
artifacts. For example, Schmidt et al. recently proposed a parallel SPEN
imaging method that combines multiband frequency-swept pulse with sensitivity
encoding (SENSE) in the super-resolved (SR) SPEN image reconstruction1. Despite being a good study, they discussed that the
SR image reconstruction combined with SENSE was imperfect showing image distortion
at the seam regions. In this study, we propose a way to accelerate 3D SPEN
imaging by combining SMS with controlled aliasing for parallel imaging results
in higher acceleration (CAIPIRINHA)2 and split slice generalized
auto-calibrating partially parallel acquisitions (Split Slice-GRAPPA)3.
The proposed method was demonstrated in the emulated data which was created by
combining two 3D SPEN imaging data sets obtained with different slab positions,
i.e., using two single-band chirp pulses with different frequency bands. Methods
Pulse
sequence: The proposed method was
tested using a 3D ultrafast gradient-echo-based SPEN
imaging sequence, called ERASE (Equal-TE Rapid
Acquisition with Sequential Excitation)4,
which provides a constant TE across slices and high
tolerance to B0 inhomogeneity. Slab selection was conducted in the
SPEN direction (Fig. 1a).
Emulating
SMS-ERASE with CAIPI: Two linearly
frequency-swept chirp pulses of single band were used to acquire two ERASE
imaging data sets under-sampled in half having a different frequency band (or
different slab position), instead of using a multiband pulse. To emulate phase
modulation in the CAIPI approach, the k-spaces of the acquired two data sets
were interleaved line by line to make a full k-space after an additional phase
of π radian was added to one data set in the secondary phase-encoding direction, not
the SPEN direction (Fig. 1b).
Image
Reconstruction with Split Slice GRAPPA:
Images were reconstructed from the full k-space emulated above using the SR image
reconstruction algorithm by Chen et al.5 with the phase correction
of even and odd lines in k-space, which present the aliased images which
emulate the SMS-ERASE with CAIPI (Fig. 1c). After the SR reconstruction, Split
Slice-GRAPPA was applied to unfold the aliasing of the SMS-ERASE with CAIPI. The
detailed reconstruction procedure is summarized in Fig. 2.
Experiments: All
experiments were performed at 3T (Prisma, Siemens) using a 64-channel head/neck
coil. Scan parameters of ERASE imaging were: FOV = 216×216 mm2, matrix size = 108×108,
number of slices = 32, slice thickness = 1 mm, TR = 60 ms, TE = 28 ms, pulse time-bandwidth
product (= Te×BW) =
93, pulse length (Te) = 24.68 ms, and multiband acceleration factor =
2.Result & Discussion
Figure
3 shows the original non-SMS ERASE images for reference (a), a fully
aliased SMS-ERASE image with no CAIPI (b), and a partially aliased SMS-ERASE
image with CAIPI (c). Figure 4 shows that SMS-ERASE images can be unfolded
by the SR reconstruction combined with Split Slice-GRAPPA. In addition, the SMS-ERASE
images with CAIPI (c and e) showed better image quality, i.e.,
better delineation of internal structures with less noise, than the SMS-SENSE
images with no CAIPI (b and d). The error images in d and e
were obtained by subtracting b and c from a, respectively.
Further studies are needed to confirm this result actually when using a multiband
frequency-swept pulse and in higher acceleration.Conclusion
It
was demonstrated in emulation data that SMS imaging could be integrated into 3D
SPEN imaging (e.g., ERASE) using Split Slice-GRAPPA and shows better
performance with CAIPIRINHA.Acknowledgements
This
work was supported by NRF-2019M3C7A1031993.References
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