Iris Yuwen Zhou1, Taylor Fuss1,2, Gang Xiao3, Takahiro Igarashi1, Lin Li1, Leo L. Cheng1,2, and Phillip Zhe Sun1
1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 3Department of Mathematics and Statistics, Hanshan Normal University, Chaozhou, China, People's Republic of
Synopsis
Z-spectrum is conventionally
acquired through multiple experiments with selective saturation at different
frequency offsets of interest, leading to extreme long acquisition time. Here,
we employ gradient-encoding to substantially accelerate the acquisition of
Z-spectrum. This speedup in combination with
higher spectral
resolution provided by high resolution magic
angle spinning (HRMAS) allows rapid quantification of chemical exchange
rates of CEST agents, monitoring dynamic processes and fast tissue characterization. The approach was
validated in phantom and used for characterization of brain tissues after
ischemic stroke. Purpose
CEST- or Z-spectrum is often obtained
to characterize CEST agents and to quantify information related to molecule or
microenvironment such as temperature and pH
1,2. It is
conventionally acquired through multiple experiments with selective saturation
at different frequency offsets of interest, leading to extreme long acquisition
time
3. Here, we employ
gradient-encoding to substantially accelerate the acquisition of Z-spectrum4. The
utilization of high resolution magic angle spinning (HRMAS) further increases the spectral resolution for better
identification and analysis of the spectrum.
Methods
Copper sulfate-doped (0.65 mM) phosphate-buffered saline with choline (10 mM) and varied
concentrations of creatine (10, 20, 30 40 and 50 mM) in 1.5% agarose gel was used for phantom study. Middle cerebral
artery occlusion (MCAO) was performed on six adult Wistar rats to induce
ischemia stroke. 24 hours after MCAO, brain tissue samples from contralateral normal area or ipsilateral ischemia
lesion were harvested, loaded into 4 mm Zirconia rotors
with 1.0 μl of D
2O and introduced into the
HRMAS probe. Spectroscopic measurements of ex vivo tissue were carried out at 37 °C and at a HRMAS spinning rate of 4800 Hz on a 14.1T Bruker
AVANCE spectrometer (Bruker BioSpin, Billerica, Massachusetts, USA). Z-spectra
were acquired using a spin-echo sequence without (B
1=0 µT) or with
(B
1=1, 1.5, 2, 3 µT) RF saturation (Figure 1). By
applying a constant magnetic field gradient during the saturation period, the
off-resonant data points in the Z-spectrum are generated by a gradient-induced
change of the Larmor frequencies of the nuclei in the sample, such that
they experience saturation with different off-resonance conditions depending on
their position
5.
Results
Representative HRMAS Z-spectra
and corresponding CEST asymmetry spectra from the phantom study showed strong CEST signal from creatine at the offset of
1.8 ppm for different B
1 power levels (Figure 2). The optimal B1 level can be found at 1.5 µT (Figure
3a). Figure 3b shows that the CESTR calculated from CEST asymmetry
spectra at B
1=1.5 µT
increases linearly with creatine concentration. Figure 4 illustrates HRMAS
Z-spectra of tissue samples from normal area or ischemic lesion of stroke brains.
CEST effects can be observed at multiple offsets such as -3.5, -2.5, 2, 3.5
and 4.5 ppm, etc. and significant differences between the normal and lesion
tissue samples can be found (Figure 4).
Discussion
and Conclusion
Compared to
conventional approach, this new method substantially reduce acquisition time by
encoding the frequency offsets along one spatial dimension. It does
not require the sample to have a homogeneous shape as
it can be compensated for by normalizing to the 1D projection of the sample
acquired with saturation off. This speedup in combination with higher spectral resolution provided
by HRMAS allows rapid quantification of chemical exchange rates of CEST agents,
monitoring dynamic processes and fast tissue characterization.
Acknowledgements
The study was supported in
part by grants from NIH/1R01NS083654 and PHS NIH grants CA115746.References
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