Xubin Chai1,2, Chuyu Liu1, Chu Wang1, Rong Xue2, and Xiaolei Song1
1Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China, 2State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
Synopsis
For imaging small-sized
organs like the prostate, reduced-field-of-view (rFOV) technique is useful for
shortening scan time, increasing resolution and reducing artifacts caused by
field inhomogeneity and motion. Herein on a 3T clinical scanner, rFOV CEST was
obtained using an off-resonance saturation preparation (seconds long), followed
by readouts at the crossing section of a 90 deg excitation slab and a 180 deg
refocus slab that had an angle in between. For saturation powers of
0.7 uT and 2 uT, CEST contrast maps and quantitative curves suggested the rFOV-CEST
outperformed the Traditional-FOV acquisitions, which has potential for prostate
CEST imaging at 3T.
Introduction:
Reduced-field-of-view
(rFOV) technique had shown its superiority in imaging small-sized organs, for
shortening scan time, increasing resolution and reducing artifacts caused by
field inhomogeneity and motion[1]. Given the demands for high spatial and
spectral resolution prostate CEST imaging, we examined the performance of a
rFOV readout technique in comparison with a traditional CEST method on a 3T
clinical scanner, in aspects of scan time, resolution and quantitative contrast
maps and curvesMaterials and Methods:
For proof of concept,
two healthy volunteers underwent prostate MR examination (males, 29 years and 40
years), both with written informed consent signed before participation. MR
scans were performed on a 3T scanner (Ingenia CX 3.0T; Philips Medical Systems,
Best, The Netherlands), using a 16-channel torso coil and a 12-channel
posterior coil as the receivers. A transverse plane crossing the prostate
center was chosen for both traditional full FOV readout and the rFOV readout. As
listed in Table1, two sets of rFOV were acquired, with in-plane resolution of 2.5
mm X 2.5 mm (rFOV_2.5) and 1.5 mm X 1.5 mm (rFOV_1.5) respectively. rFOV-CEST
was achieved using an adjusted sequence based on the APT patch with Turbo-Spin-Echo (TSE) readouts, in combination with Philips zoom technique. Briefly,
after a 2-seconds long off-resonance saturation preparation, rFOV only read
signal selectively at the crossing section of a 90 deg excitation slab and a
180 deg refocus slab that had an angle in between (Figure 1). Two series of CEST Z-spectral data were acquired, one with saturation
power of 0.7 uT and 33 offsets distributed from -10 ppm to 10ppm, another with
2 uT saturation and 19 offsets from -4.5 ppm to 4.5 ppm with 0.5 ppm step size.
The rest parameters of all datasets are shown in
Table1. All data were processed using custom-written MATLAB scripts, with
MTRasym at 3.5 ppm for CEST quantification. In addition, for 0.7uT saturation
the Lorentzian Difference were employed both for the contrast maps and the
curves.Results and Discussion:
Figure 2 showed the
contrast maps and the quantitative curves of the whole prostate region, using a
2uT saturation power employed by the standard APTw protocol. As seen, the
normalized saturation-weighted image at -3.5 ppm and at 3.5 ppm have almost
identical contrast distribution, for the 2.5 mm in-plane resolution acquired
using either traditional FOV (tra_FOV) or reduced FOV technique (rFOV_2.5). Noted
that for the pseudo-colored images only zoomed prostate region is displayed for
comparison. It proved that rFOV could reduce the scan time by half while kept the
same contrast as the traditional method. Furthermore, a smaller FOV with a
1.5mm×1.5mm in-plane
resolution could be achieved using ~3min, which displayed better structure
details on all maps. Furthermore, compared with traditional methods, rFOV
methods displayed almost identical Zspectra and very closed MTRasym curves,
that averaged for the entire prostate
Figure 3 showed five kinds of contrast maps, as
well as the averaged Zspectra and the Lorentzian Difference (LD) spectra f the entire
prostate region, using a 0.7uT saturation power with better spectral resolution.
Both sets of rFOV acquisition exhibited more homogeneous Z(3.5 ppm) and Z(-3.5
ppm) images, than the full FOV one which has an artifacts as pointed by the
arrow. Moreover, owing to the high-resolution on the rFOV_1.5 acquisition, the
quantitative MTRasym and the amide map by LD, displayed higher contrast and
better anatomy on central zone (CZ) of prostate than the tra_FOV. The averaged LD
spectra of the entire prostate show very similar shapes, with the rFOV spectra
exhibiting higher amide peak that benefit from the single-shot readouts. In
addition, more detailed ROI analysis of different zones of prostate could be
allowed, with the spectrum of CZ displaying clear amide peak.Conclusion:
For saturation powers
of 0.7 uT and 2 uT, CEST contrast maps and quantitative curves suggested the rFOV-CEST
outperformed the Traditional-FOV acquisitions, which has potential for prostate
CEST imaging at 3T.Acknowledgements
The authors acknowledged funding from National Natural Science Foundation of China (82071914). and the startup package from Tsinghua University to Dr. Song. References
1. Liu Q, Jin N, Fan Z, Natsuaki Y, Tawackoli W, Pelled G, et al. Reliable chemical exchange saturation transfer imaging of human lumbar intervertebral discs using reduced-field-of-view turbo spin echo at 3.0 T. NMR Biomed 2013; 26(12):1672-1679