Sugil Kim1, Seong-Gi Kim2,3, and Suhyung Park4,5
1Siemens Healthineers, Seoul, Korea, Republic of, 2Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 3Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 4Department of Computer Engineering, Chonnam National University, Gwangju, Korea, Republic of, 5Department of ICT Convergence System Engineering, Chonnam National University, Gwangju, Korea, Republic of
Synopsis
We propose highly accelerated 3D CEST MRI using
CAIPI sampling based 3D segmented EPI with spectral random walk, potentially enabling
1mm-isotropic whole-brain CEST imaging within 5min at 7T.
Introduction
Chemical Exchange Saturation Transfer (CEST) Magnetic
Resonance Imaging (MRI) has been playing an important role in molecular MRI
providing distinct contrast based on proton exchange mechanism in metabolic,
molecular, and cellular information in tissue [1-2]. At ultra-high fields, CEST
MRI holds great potentials by improving the sensitivity to CEST contrast
between the ischemic and normal areas. However, the direct saturation effect
makes CEST MRI very sensitive to B0 inhomogeneity, thus requiring multiple
acquisitions called z-spectrum for B0 correction. The acquisition time becomes
prohibitively prolonged particularly in case of volumetric imaging. In this work,
we propose highly accelerated 3D CEST MRI using CAIPI sampling based 3D
segmented EPI with spectral random walk, potentially enabling 1mm-isotropic whole-brain
CEST imaging within 5min at 7T.Method
3D
Segmented Pulse Sequence with Spectral Random Walk for 3D CEST MRI
A schematic of 3D CEST MRI pulse sequence is
shown in Fig. 1a. Gaussian-shaped RF pulses are applied with multiple frequency
offsets to generate CEST contrast. Segmented 3D EPI are then successively
applied with CAIPI sampling to reduce g-factor noise penalty. To further improve
the encoding power across z-spectra, the CAIPI sampling is combined with
spectral random walk by randomly shifting the spatial CAIPI sampling within a ky-kz
block (the block size is under-sampling factor for each dimension) along the
spectral dimension, leading to spectrally random encoding while keeping overall
spatial CAIPI pattern unchanged (Fig. 1b). Additionally, we employ a liner ordering
along the kz direction to minimize CEST contrast bias that arises from signal
fluctuation before reaching to the steady-state.
With
a new sampling scheme, we exploit the spectral redundancy by incorporating all
available information into constrained reconstruction framework unlike the
conventional segmented 3D EPI that operates in a time-independent manner,
reconstructing images individually. To this end, All image are reconstructed using: argminx||FEx-y||+λ1||Wx||1 +λ2||TV(x)||1 where
F is the Fourier transform, E is encoding matrix with coil sensitivities,
y is the measured k-space data, W is the sparsifying transform, TV is the
total variation, λ1 and λ2 are regularization parameters , x is the
under-sampled data to be reconstruction [5].
Experimental
Study
The
imaging parameters in the data were as follows: Matrix size=192x144x192(ky, kz,
kx), FOV=192x158x192, 1x1x1.1mm, flip angle=10 degrees, TR=65ms, TE=23ms, EPI
factor=29, partial Fourier ky direction 7/8. For all experiments are acquired
with following CEST parameters: CEST RF amplitude 0.7uT, duration 30ms, and 51
saturation frequencies (±300, ±10,
±7,
±6,
±5.5,
±5,
±4.75,
±4.5,
±4.25,
±4,
±3.75,
±3.5,
±3.25,
±3,
±2.75,
±2.5,
±2.25,
±2,
±1.75,
±1.5,
±1.25,
±1,
±0.75,
±0.5,
±0.25,
0), total imaging time=5min 18sec. We used a 7T scanner (Magnetom Terra,
Siemens Healthineers, Erlangen, Germany) with a 32-channel heal coil. B0
correction was applied WASSR [6] technique. To efficiently suppress fat signal,
we utilized a non-selective rectangular RF pulse by selectively exciting water-only
signal [4].
Results and Discussion
Fig. 2(a) shows reconstructed (unsaturated) images acquired
from the proposed acquisition strategy. Noted that the reconstructed imaging
volume robustly remove noises and aliasing artifacts from highly undersampled
data by exploiting spectral redundancy. Fig. 2(b) shows the images as a
function of multi-frequencies (-10ppm to10ppm) for a single slice. The
multi-frequency images describe smoothly varying saturation contrasts,
especially yielding low SNR images around 0 ppm indicating that there exists
sufficient saturation during the acquisition. Fig. 3 represents images,
z-spectrum, and MTR maps. The proposed acquisition yields high quality images
without apparent contrast loss, thus reflecting the reasonable z-spectrum and
MTR maps to a certain extent.Conclusion
The CAIP sampling based
3D EPI was combined with spectral random walk to exploit spectral redundancy
under the framework of EPI acquisition. This approach allows 9-fold
acceleration with 1mm3-isotropic resolution in about 5 min scan time
for whole-brain CEST source image acquisition. We successfully demonstrated the
feasibility of the proposed method to generate z-spectrum and MTR map at 7
Tesla. Acknowledgements
No acknowledgement found.References
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