Marek Chmelik1,2, Diana Bencikova3, Christian Mirkes4, Christopher T. Rodgers5, Gunamony Shajan4, Klaus Scheffler4,6, Siegfried Trattnig1,2, and Wolfgang Bogner1
1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Nuclear Physics and Biophysics, Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia, 4High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 5OCMR, RDM Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom, 6Department for Biomedical Magnetic Resonance, University of Tuebingen, Tuebingen, Germany
Synopsis
The
purpose of this study was to quantitatively compare the SNR of brain 31P-MRS
coils capable of covering the whole brain at various B0 field strenghts.
SNR was compared using phantoms and in
vivo in clinically acceptable measurement times at 3T (birdcage), 7T (23ch-array)
and 9.4T (27ch-array). Data showed approximately 3-fold higher SNR
at 7T than at 3T. 9.4T provided an additional -more than linear- increase. WSVD
coil combination outperformed Brown’s coil combination. Especially with the 7T
coil the necessity of advanced coil combination algorithms is apparent. Purpose/Introduction
31P-MRS provides unique information on brain energy and membrane metabolism in
vivo. Alterations in brain high-energy
and membrane phosphate metabolism were reported in subjects with a number of brain disorders including major depression,
schizophrenia, substance abuse and tumors
1. The
major limitation of brain
31P-MRS is low signal sensitivity at
clinical scanners and from that resulting long acquisition times. Nowadays, several-fold higher SNR is
available by using ultra-high field human whole-body MR scanners. Additional
SNR may be gained by the use of
receive arrays and advanced coil combination methods (e.g. whitened singular value decomposition – WSVD)
3. This was recently demonstrated at
7T with a 7-channel receive array covering mostly the occipital lobe and WSVD
coil combination
2. The purpose of this study was to quantitatively compare the SNR of brain
31P-MRS coils capable of covering the whole brain at various B
0
field strenghts. SNR was compared using phantoms and in vivo in clinically acceptable measurement times at 3T (birdcage),
7T (23ch array) and 9.4T (27ch array).
Subjects and Methods
Data were acquired on a 3T, 7T and 9.4T MR systems (Siemens
Healthcare, Erlangen) using double-tuned coils (1H/31P):
at 3T a birdcage coil (RAPID Biomedical GmbH, Rimpar, Germany), at 7T a 23-channel
receive array (QED-Quality Electrodynamics, Mayfield,
OH, USA) and at 9.4T a 27-channel receive array (Max Planck Institute,Tuebingen,
Germany) with the same design as in4. A point source 1cm3 cube (1M KH2PO4)
submerged in a 2l cylinder filled with tap water (Fig.1A) and a 2l spherical
phantom (10mM KH2PO4) were scanned at all field strengths.
Fully relaxed pulse-acquire FIDs were acquired with variable pulse amplitude. Pulse
amplitude with maximal signal was used for SNR analysis. Both, identical spectral widths (SW=7kHz
at each fieldstrenght) to exclude the confounding effect of SW on the overall
SNR (inversely proportional to square root of SW) and identical chemical shift
ranges (in ppm unit, e.g. 2.2kHz,5.2kHz,7kHz for 3T, 7T and 9.4T) for more practical
comparision of SNR were applied.Additionally a homogeneous spherical phantom
was scanned with a fully relaxed (TR 30s) 12x12x12 MRSI sequence with 45º and 90º
to allow local SNR comparison and dual flip angle B1 mapping.
In vivo measurements were performed on three healthy
volunteers (age 32.6±3.2 years). MRSI scans at all field strengths were
performed within two weeks with the following parameters: 8x8x8 matrix, FOV
20x20x20cm3, TR=1.5s, NA=16, weighted acquisition, block pulse
500us, Ernst FA=45,50,53º acording to published T1 times5 for optimal SNR/t1/2 at
each field strength, TA=11min, identical chemical shift ranges in ppm unit (e.g. SW=2.2kHz,5.2kHz,7kHz
for 3T, 7T and 9.4T).
The
acquired SNR was defined as the ratio between the amplitude of first FID point
(AMARES fit) and the standard deviation (SD) of the noise of last 200 points in
the unfiltered FID. For the in vivo
data 4 voxels from each volunteer and each scan were quantified (Fig.3 B –
green box).
Results
Fig.1. shows results of the pulse-acquire experiments
with point source
31P signal. Data shows approximately 2-fold higher
SNR at 7T than at 3T. 9.4T provided an additional -more than linear- increase.
WSVD coil combination outperformed Brown’s coil combination. Especially with
the 7T coil the necessity of advanced coil combination algorithms is apparent. Pulse-acquire experiments with the spherical
phantom show only approximately linear increase of SNR, which reflect the degraded
B
1 fields at higher field strengths and thus an inhomogenous 90°
excitation.
A representative transverse slices of the 3D
31P-MRSI
data from one volunteer are displayed in Fig.2. Data are displayed after noise
normalization and equivalent time domain filtering. Fig.3A displays representative
spectra of one volunteer and shows average PCr SNR from all three volunteers
(Fig.3D). Noticeable is also the improved spectral resolution in the PME-PDE (2-7ppm)
and α-ATP, NADP, UDPG (-7- -9ppm) regions.
Discussion/Conclusion
The results show experimental evidence of a more than linear increase
in SNR with field strength in human brain
31P-MRS. Although
we analyzed the central region of the RF coils (i.e., the region that benefits least
from using receive arrays), our data show the dramatic increase in spectral
quality at ultra-high magnetic fields. Increased SNR may be used for decreasing
scan time and/or for increasing spatial resolution of
31P-MRS. Data
are in good agreement with previous studies
5,6. However,
the degraded B
1 homogeneity pose new challenges, which may be
overcome with adiabatic RF pulses as commonly used for
31P-MRS for
surface coils.
Acknowledgements
CTR is funded
by a Sir Henry Dale Fellowship from the Royal Society and the Wellcome Trust
[098436/Z/12/Z].
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