Songi Lim1,2, Mark Stephan Widmaier1,2, and Lijing Xin1,3
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Laboratory for Functional and Metabolic Imaging, EPFL, Lausanne, Switzerland, 3Animal Imaging and Technology, EPFL, Lausanne, Switzerland
Synopsis
Phase-cycled spectroscopic imaging (PCSI) method
was implemented and validated for 31P PCSI imaging at 7T. The PCSI method
uses a balanced steady-state free precession sequence with an ultra-low flip
angle (<1°) to achieve sharp passband with 2.52-ms of TR, which enable to
accelerate the acquisition. With prior knowledge of 31P spectra, it
is feasible to acquire major 31P peaks by changing the frequency
offset and non-uniform phase sweeping instead of acquiring full spectra
uniformly. To investigate feasibility of the method, a multi-compartment KH2PO4
phantom with in vivo equivalent
concentrations was prepared and 31P PCSI was compared with
conventional FID-CSI.
Introduction
Phase-cycled spectroscopic imaging
(PCSI) has been introduced to accelerate 1H MR spectroscopic imaging
acquisition time and simplify suppression and reconstruction procedures in
clinical settings by using a balanced steady-state free precession (bSSFP) with
an ultra-low flip angle (< 1°) at 3T1. This method relies on extremely narrow excitation
profiles of bSSFP, which only excites on-resonance peak with less than 5 Hz of
bandwidth. Instead of modifying transmit frequency, it uses phase shift of RF
pulse to sweep the central position of the passband and to excite off-resonance
peaks. Since the flip angle is very low, it is free from SAR issue for clinical
applications. Unlike 1H MRS spectra, 31P spectra has a
smaller number of resonance peaks spread over a range from 6 ppm to -17 ppm
covering from Pi to β-ATP. Therefore, instead of sampling
uniformly the whole phase cycle by 1° to acquire fully spectra, it is possible
to perform dense sampling for only the target metabolites of interest selectively based on
prior knowledge in chemical shifts of metabolites to decrease total scan time. The
goal of the study is to implement 31P-PCSI and to validate its
feasibility at 7T. Materials and methods
Simulations were performed to find
the optimized flip angle for reaching the highest signal intensity and to
acquire the transvers magnetization profile using MATLAB. 31P PCSI
was implemented on a 7T/68cm MR scanner (Magnetom, Siemens Medical Solutions,
Erlangen, Germany) and all MR measurements were performed with a surface coil
with two 1H channels and single loop 31P channel. For validation of the method,
a KH2PO4 phantom was prepared for 31P PCSI
imaging. The 1.5L saline phantom contains two 30mL bottles with 4 mM (pH 6.5) and
2 mM (pH 2) KH2PO4, respectively. Gadovist was added to
mimic in vivo PCr and gATP
conditions.
B0 shimming and voltage calibration
were performed before data acquisition to improve field homogeneity and to
reach the correct flip angle. The PCSI sequence was performed using the
following parameters: TR/TE = 2.52/1.3 ms; FOV = 15×15 cm2; slice
thickness = 30 mm; matrix = 16×16; flip angle = 0.28°; spectral bandwidth = 1116
Hz/px; 100 averages; 60 dummy pulses, 41 steps of phase sweeping for each peak
by 1° (± 20°), total acquisition time = 5 min 30 s.
The reference spectra were acquired
using a slice selective FID sequence (TR/TE = 15000/2.3 ms, average = 15, spectral
bandwidth = 2000 Hz). For comparison with PCSI, conventional CSI data
acquisitions were performed using FID-CSI sequence with the following
parameters: TR/TE = 1500/2.3 ms; FOV = 15×15 cm2; slice thickness = 30
mm; matrix = 16×16; flip angle = 90°, spectral bandwidth = 1000 Hz; average = 2
and 15; 4 dummy scans; hamming weighted phase encoding, total acquisition time
= 4 min 45 s and 20 min. The PCSI data were reconstructed and processed using
MATLAB. Metabolite maps was created using linear interpolation (scale factor of
3) and overlaid on the reference image. Results
The optimum flip angle to achieve
maximum signal intensity was simulated and presented in Figure 1 (top). The
transverse magnetization profile at the optimized flip angle (0.28°) is
presented in Figure 1 (bottom). The reference spectrum acquired using a slice
selective FID sequence is illustrated in Figure 2 (left) from a slice shown in
yellow, which corresponds to the slice for 2D 31P FID-CSI and PCSI.
The spectra acquired using 31P FID-CSI with different number of averages
are shown in Figure 3. The voxels were chosen based on the signal intensity of
the spectra, which show the highest signal intensity. The representative
spectra and reconstructed 31P PCSI maps are illustrated in Figure 4. Discussion and conclusion
In this study, we implemented PCSI
for 31P MRSI and its feasibility of was investigated. With 1/4 of the acquisition time, 31P
PCSI shows much better SNR than FID-CSI with 15 averages. For in vivo spectra, e.g.
5 peaks (Pi, PCr, γ-ATP, α-ATP, and β-ATP) need to be measured, using the same
condition, the total acquisition time will be extended from 5 min 30 s to 14
min. Besides reduced SAR, another advantage of PCSI is that it does not suffer
from chemical shift displacement error due to the changes of transmitting
frequency per peak. The main limitation of this method is its high susceptibility
to B1 inhomogeneity to satisfy the ultra-low flip angle condition. Also, bSSFP is
affected by T1/T2 ratio, which needs to be taken into
account for the quantification. We conclude that PCSI is a fast and efficient method for 31P spectroscopic imaging and it is feasible for 31P
metabolite mapping at 7T.Acknowledgements
This work was supported by the Swiss National Science
Foundation (grants n° 320030_189064). We acknowledge access to the facilities
and expertise of the CIBM Center for Biomedical Imaging, a Swiss research
center of excellence founded and supported by Lausanne University Hospital
(CHUV), University of Lausanne (UNIL), Ecole polytechnique fédérale de Lausanne
(EPFL), University of Geneva (UNIGE) and Geneva University Hospitals (HUG).References
1. Guo J, Patay Z, Reddick WE. Fast frequency-sweep
spectroscopic imaging with an ultra-low flip angle. Sci Rep.
2016;6:1-14. doi:10.1038/srep30066