Johanna Dorst1, Loreen Ruhm1, Nikolai Avdievich1, Wolfgang Bogner2, and Anke Henning1
1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2High-Field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
Synopsis
In vivo phosphorus MR spectroscopy has been established to
be a powerful tool for studies of energy metabolism. To provide clinically relevant
information about physiologic function, accurate spatial localization as well
as sufficient spectral quality are fundamental requirements. Therefore, in this
study, first steps to optimize a multi-shot ISIS sequence and a single-shot
semiLASER sequence for phosphorus MR spectroscopy in the human brain at 9.4T
have been taken. The sequences were compared in terms of localization accuracy
and SNR.
Introduction
Phosphorus
MR Spectroscopy enables observation of cellular energy metabolism
noninvasively. However, 31P
MRS is hampered by low 31P metabolite concentrations, low intrinsic sensitivity,
and short T2 and long T1 relaxation times. As a result, large voxel sizes and
long scan durations are required, which makes functional 31P MRS
studies difficult. To mitigate this shortcoming, 31P MRS can benefit
from the introduction of ultra-high field strength, which causes increased SNR
and enhanced spectral dispersion as well as shorter T11. In this
study, initial steps to optimize single voxel localization sequences for the
use in 31P spectroscopy in the human brain at 9.4T were taken for
Image Selected In vivo Spectroscopy (ISIS) and for a conventional slice
selective excitation combined with Localization by Adiabatic Selective
Refocusing (semiLASER). Both sequences were compared in terms of localization
accuracy and SNR and applied in the human brain at 9.4T.Methods
For
ISIS2 (Figure 1a), Gradient Offset Independent Adiabatic (GOIA)
pulses (TP:5ms) based on WURST amplitude (16th order) and
gradient (4th order) modulations were used for inversion3
and a rectangular pulse (TP:350µs) for excitation. The used GOIA pulses have an inversion
bandwidth of 21.6kHz and 30kHz for inversion thicknesses of 5cm and 7cm,
respectively4. SemiLASER (Figure 1b) was optimized in terms of
adiabaticity and localization accuracy. For slice-selective excitation, a 90° hamming
windowed sinc pulse (3.35ms, TBWP:8.7) was used. For inversion,
trapezoid-shaped adiabatic full passage pulses5 were optimized for
phosphorus using Bloch simulations (Figure 2). To suppress unwanted coherence
pathways, the crusher scheme was optimized6.
All measurements were performed on a 9.4T whole-body MRI scanner (Siemens)
using a home-built double-tuned 31P/1H human head array
with 8 transceiver and 2 receive only 31P channels. Localization
performance was tested on a two-compartment phantom filled with equally
concentrated phosphate buffer solution with different pH; afterwards, it was
evaluated according to the equations for selectivity and outer volume
suppression7. For in vivo spectra, 4 healthy subjects were measured
with VOIs of 7cm/5cm isotropic, 4096 samples with an acquisition bandwidth of
10kHz, 64/128 averages, TRISIS:5s, TEISIS:0.3ms, TRsemiLASER:7.5s,
TEsemiLASER:33ms. Voxels were placed in the center of the brain to exploit
highest possible B1. For analysis, data were averaged, truncated after 75ms,
filtered to calculate weights for coil elements combination employing SVD8
based on PCr, coil elements were combined using the calculated weights, then
data were zero-order phase corrected and missing points at the beginning of the
FIDs were predicted9. Finally, an exponential filter of 5Hz was
applied. SNR was defined in the frequency domain as the ratio between the
metabolite peak amplitudes and the standard deviation of the spectral noise.
Results and Discussion
Bloch simulations of a trapezoid-shaped AFP pulse (TP:6ms)
with a bandwidth of 3.2kHz are shown in Figure 2. To obtain inversion of at
least 90%, a minimum B1 of 35µT is needed for 31P. The transition
bandwidth of this pulse is considerably broad.
Figures 3b-d show spectra acquired from the localization phantom (Figure 3a)
for ISIS, semiLASER without the use of crusher gradients and semiLASER with
crusher gradients, respectively. When measuring with ISIS, there is little
contamination (signal at 2.4ppm) from the outer chamber. The measured
selectivity was 96% and the outer volume suppression 99%. For semiLASER without
crusher gradients (Figure 3c), considerably more signal is detected from the
outer compartment than from the inner compartment as intended. When using the
optimized crusher scheme, signal from outside the VOI is substantially spoiled,
but semiLASER still provides higher contamination than ISIS. While the outer
volume suppression is also measured to be 99%, the selectivity is only 53%.
Representative 31P-MRS spectra of the human brain at 9.4T are
depicted in Figure 4. The corresponding SNR are listed in Table 1. Besides
phosphocreatine (PCr), the metabolites phosphomonoesters (PE, PC), inorganic
phosphate (Pi), phosphodiesters (GPE, GPC), γ-ATP and α-ATP are clearly
visible. In addition, NAD is identifiable in ISIS spectra. Spectral quality of
ISIS spectra is distinctly higher even though it is prone to motion artifacts.
Due to higher TE, semiLASER localized spectra experience tremendous T2 loss,
especially for ATP. Furthermore, ATP, phosphomonoesters and phosphodiesters
undergo homonuclear and heteronuclear scalar coupling evolution, respectively10. These effects are also reflected in terms of
SNR.Conclusion
At
9.4T, single voxel localized 31P spectra with excellent spectral
quality can be acquired in the human brain. Single-shot spectra measured with
semiLASER experience J-coupling evolution and SNR loss due to short T2
relaxation times. FID based multi-shot ISIS spectra provide higher SNR, but are
prone to motion artifacts. In this study, voxel size and positioning is limited
by relatively low B1 of the multichannel coil array, especially in peripheral
regions.Acknowledgements
Funding
by the European Union (ERC Starting Grant, SYNAPLAST MR, Grant Number: 679927)
is gratefully acknowledged.References
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