Sugil Kim1,2 and Jaeseok Park3
1Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, Republic of, 3Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of
Synopsis
To develop fast whole-brain spiral-CEST encoding with spectral and spatial correction of
magnetic field inhomogeneities Introduction
Chemical exchange saturation transfer (CEST) magnetic resonance imaging
(MRI), which exploits saturation transfer induced proton exchange and its
corresponding, indirect loss of water signals, has been shown to provide a
novel contrast mechanism [1]. However, in CEST MRI, multiple acquisition of
imaging data with varying saturation frequencies (z-spectrum) is typically
needed, which prohibitively prolongs
imaging time and spatial coverage is correspondingly limited. To tackle these
problems, in this work we propose whole-brain spiral CEST encoding with
spectral and spatial B
0 correction that employs RF-segmented, uneven
irradiation [2] to quickly acquire multi-slice data.
Method
Whole-brain Spiral CEST Encoding with RF-Segmented uneven irradiation: We proposed RF-segmented, uneven irradition that a long primary RF
saturation pulse generates the steady state CEST contrast, and repetitive short
secondary RF saturation pulse maintains the CEST contrast. A timing diagram of
the proposed spiral-CEST encoding is shown in Fig. 1. In the proposed fast spiral encoding acqusition, CEST contrast is maintained by secondary short RF
saturation pulse. Gaussian-shaped RF pulses applied
with the amplitude of 0.7uT (50ms). The primary RF irradiation time was 3 sec
(Ts1) and secondary RF irradiation
time was 0.5 sec (Ts2), while single shot spiral acquisition [3] was employed in the step of
CEST encoding. Each z-spectrum consisted of 21 offsets -5ppm to 5ppm with an
increment of 0.5ppm. Other parameters used: TI = 50ms, TE = 4ms, flip angle = 60°, matrix size = 64×64, FOV =
200×200mm2, we acquired thirty slices for slices thickness = 3mm
and slice interval = 1.5mm. To investigate the effectiveness of the proposed
method against conventional echo-planar-imaging (EPI) CEST MRI, we also acquire
single shot EPI with unevenly segmented method. The parameters were, TI = 60ms, TE = 20ms, Ts1/Ts2 = 3s/0.5s, and same protocol of other
parameters. EPI-CEST is implemented with dicom images. All images were acquired at 3.0T (Magnetom Trio, Siemens
Medical Solutions, Erlangen, Germany).
Spatial and Spectral B0 Correction: In order to compensate spiral trajectory errors, which result from
gradient hardware imperfection and eddy-currents, actual k-space trajectory were measured
and corrected [4]. Then, convolution-interpolated followed by inverse Fourier transform
were performed to produce spatiotemporal images in the x-z dimension that are
potentially blurred due to the magnetic field inhomogeneities. In order to correct
spectral B0 shift, we applied
for WASSR B0 correction method
[5]. The field map
estimated from the analysis of the z-spectrum, in each image correction of spatial
blurring was performed using multi-frequency interpolation (MFI) method [6]. With correction
of image blurring in
the spatial dimension of images, the initial field map was refined using WASSR,
and spectral B0 correction was performed to eliminate data inconsistency over the
spectral dimension that potentially occurred in the previous step. To investigate the
effectiveness of the proposed method, CEST maps
were generated using no B0 correction, spectral B0 correction, and spectral and
spatial B0 correction.
Result and Discussion
Fig. 2 shows
selected slice CEST-weighted images and MTR maps. It is noted that the first
and second columns show severe blurring and distortion artifact due to the
field inhomogeneities especially edge of brain both without B
0 correction and with spectral B
0 correction. Third column shows spectral and spatial B
0 corrected CEST-weighted images and MTR maps, which
shows improvement in spatial homogeneity in particular region of edge. First
and Second rows represent S(-3.5ppm) and S(3.5ppm) images and third row shows
MTR maps. The results of that the field inhomogeneities leading to artifact in
CEST analysis can be corrected using proposed method.
Fig. 3 represents that compare EPI-CEST to spiral-CEST with spatial
B
0 corrected multislice images. It
shows that EPI-CEST more distortion artifact in front of brain.
Fig. 4 represents that MTR maps compare EPI-CEST to spiral-CEST. Proposed spiral-CEST with spectral and spatial B
0 correction of field inhomogeneities is better able to assess CEST analysis
without distortion artifacts.
Conclusion
We successfully demonstrated that the proposed spiral-CEST
encoding is highly effective in the generating proton exchange induced
whole-brain imaging contrast within clinically reasonable scan time.
Acknowledgements
This work was supported by IBS–R015-D1.
References
[1] Peter C.M. van
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412-415(1999) [4] Jeff H. Duyn et al, JMR 132: 150-153(1998) [5] Mina Kim et
al, MRM 61: 1441-1450(2009) [6] Lai-Chee Man et al, MRM 37: 785-792(1997)