Steen Moeller1, Xiaoping Wu2, Noam Harel2, Mike Garwood2, and Mehmet Akcakaya1
1Center for Magnetic Resonance Research, Minneapolis, MN, United States, 2University of Minnesota, Minneapolis, MN, United States
Synopsis
For 3D imaging, frequency-swept excitation can be used to
obtain broad bandwidth and sharp slab profiles. The quadratic phase from such
RF excitation imparts spatiotemporal encoding and can be leveraged for added
encoding. Here we show that, by sliding the quadratic phase across the slice-encoding
direction, synergy can be achieved when combining frequency-swept excitation
with Fourier encoding, which has inherent optimal noise-properties.
Purpose
Brain MRI applications have been pushing for higher spatial
resolution imaging, which requires trade-offs between scan time, SNR and
resolution. 2D imaging has limited SNR as sub-millimeter imaging is pursued,
requiring alternatives. 3D slab acquisitions offer higher SNR, but often
require segmentation of data acquisition. The applicability of segmentation is
hindered due to physiological and systematic limitations, such as
motion-induced phase variations. Standard Fourier encoding makes it difficult
to correct for such variations without additional calibration data due to the
sharp fall-off of signal content in the slice-encoding direction [1]. Changes in RF
pulse shapes have been proposed to tackle this challenge. In this study, we
sought to take a different approach, based on quadratic phase modulation [2] along
with 3D Fourier encoding to better distribute the signal content in the slice
direction, and to enable higher acceleration rates robust to
slice-undersampling with a modified reconstruction algorithm.
Methods
We conducted phantom and human experiments on a 7T Siemens
scanner using the Nova single transmit, 32 receive head coil. A standard 3D
FLASH sequence was modified such that stretched hyperbolic secant pulses (e.g.,
HS8) can be used for RF excitation. Note that when using HS8 pulses for
excitation, the phase-encode gradients applied in the slice direction also
shift the vertex of the quadratic, through-plane phase distribution of the
resulting transverse magnetization.
To demonstrate the utility of our method for high resolution
imaging, we acquired 3D FLASH images using HS8 pulses. Relevant imaging
parameters were FOV 256x256x30mm3, resolution 0.4x0.4x0.8mm3,
TE/TR 21/39 ms, and nominal flip-angles 18 deg, 20% slab oversampling, in-plane
undersampling (iPAT)=2. The ACS data were acquired with same imaging parameters
but with 0.4x4.8x0.8mm3 resolution. To localize the signal along the
slice direction and match the FOV resolution, the time-bandwidth product (or R
value) of the HS8 pulse characterizing the shape of the quadratic phase was set
to the number of phase encode steps in the slice direction. In this study, HS8
with R=60 (HS8R60) was used for phantom experiments whereas HS8R30 for the
in-vivo experiments. For comparison, images using a standard sinc RF pulse were
also acquired. For all acquisitions, maximal amount of gradient spoiling was
applied to minimize the image artifact due to stimulated echoes.
For acceleration along the kz dimension, a modified
GRAPPA algorithm was developed. The algorithm removes the quadratic phase along
kz (i.e. temporal spreading) of the signal prior to signal interpolation with GRAPPA
and adds back the quadratic phase after signal interpolation. The mathematical
description of the algorithm is given in Fig. 1. Results
The {x,y,k_z} images acquired with the HS8 pulse presented
more spread out signal content in the k_z dimension than did those with the
sinc pulse which exhibited little signal content in outer k_z slices (Fig. 2).
The proposed reconstruction effectively reconstructed images
with 2D acceleration (ie, 2-fold in-plane and 2-fold through-plane acceleration)
(Fig. 3), with comparable image quality to that with only 2-fold in-plane
acceleration.
Figure 4 shows results from two separate in-vivo
acquisitions with sinc and HS8R30 excitation pulses respectively, and includes
different retrospective slice-undersampling factors, as well as a low
resolution reconstruction from the same dataset. At both resolutions, both standard
Fourier encoding using a sinc pulse and our method using the HS8R30 pulse gave
rise to good image quality when no slice acceleration was considered. However, the
standard Fourier encoding method resulted in significant image degradation when
additional slice undersampling was applied. By contrast, the proposed method using
the modified GRAPPA reconstruction successfully maintained the image quality.Discussion and conclusion
The use of frequency-swept pulses with high R values has
been used to broaden the refocused encoded signal in a conventional GRE
sequence, leading to a more even signal distribution in the hybrid (x,y,k_z)
space. The acquired signal in {x,kz} is modulated with the quadratic phase from
the excitation. By leveraging this knowledge, a modified GRAPPA algorithm has
been proposed, allowing for slice-undersampling in the slab with limited
spatial coverage, with little degradation in reconstruction quality at 2-fold
acceleration.
The signal properties in hybrid space have direct spatial
information, and this property makes the signal encoding different from
conventional imaging and offers possibilities for self-calibration of the data,
and correction of certain systematic and physiological imperfections for
segmented acquisitions. The technique can find use for very high resolution
acquisitions [3], enabling faster scanning and thus reduced occurrence of motion artifacts.
Acknowledgements
P41 EB015894, P30 ICCReferences
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7T using a three-dimensional multi-slab acquisition Neuroimage, Volume 143, December 2016,
Pages 1–14
[2] Y. Shrot, L. Frydman Spatially encoded NMR and the acquisition of 2D magnetic resonance images within a single scan J Magn Reson, 172 (2005), pp. 179–190
[3] K. Setsompop
et al. Generalized SLIce Dithered Enhanced Resolution Simultaneous MultiSlice
(GSlider-SMS) to Increase Volume Encoding, SNR and Partition Profile Fidelity
in High-Resolution Diffusion Imaging. ISMRM 2016, page 0607