Rita Schmidt1, Assaf Tal2, and Andrew Webb1
1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Chemical Physics, Weizmann Institute of Science, Rehovot, Israel
Synopsis
Magnetic resonance spectroscopy is a powerful technique for in-vivo
measurement of metabolites, however its
sensitivity is limited due to very low concentration of the metabolites.
This is especially valid for studies of neurotransmitters such as glutamate and GABA. In this study,
a new hybrid metasurface comprising of conducting strips and agar-gel was designed
to improve MR sensitivity at 3T. The metasurface forms a compact and flexible pad
which is placed in the vicinity of the region of interest. The measurements focused
on MRS acquisitions including PRESS and MEGA-PRESS, showing an improvement in
SNR of a factor of 1.75, 2 cm from the pad.
Introduction
Magnetic resonance spectroscopy is a powerful technique
for in-vivo measurement of metabolites, with special
interest for functional neurobiology research.
However, its sensitivity is limited due to very low concentration of the
metabolites, which results in long scan durations. This is especially
valid for studies of neurotransmitters such
as glutamate and GABA (γ-aminobutyric acid), that
require J-coupling editing sequences, which reduce the sensitivity even further1-4.
Approaches to improve the SNR include local receive coils5, high
permittivity dielectric pads6,7, as well as initial proof-of-principle
implementations of metamaterials8-10. In this study, a new hybrid
metasurface comprising of conducting strips and agar-gel was designed to
improve MR sensitivity at 3T. The metasurface forms a pad which is placed in
the vicinity of the region of interest. An optimization study resulted in the
design of a compact and flexible pad that can be incorporated inside a multi-element
receive head coil. The measurements focused on MRS acquisitions including PRESS
and MEGA-PRESS with an interest in GABA detection sensitivity improvement.Methods
3D EM
simulations of the B1+ field were performed using FIT (finite
integration technique) software (CST Microwave Studio, Darmstadt, Germany). All
B1+ maps were normalized to an accepted power of 1 Watt. The
first steps in the design included an optimization study of the resonant
structures at 128 MHz and of the metasurface dimension and shape. Figure 1a
shows the structural geometry of the metasurface with a final dimensions of 13x20x1 cm3 including a 1cm thick
dielectric layer. The metasurface conducting strips were implemented using
copper strips in a zigzag shape (which allowed the resonant mode to be achieved
at 128 MHz within the aforementioned structure dimension) and were attached to
a transparent plastic sheet, placed inside the pad. The next step was to
perform full EM simulations with a quadrature birdcage coil and human model “Duke” from the Virtual
family11. The pad was curved to fit
the shape of the head or the phantom. Experimental realization of the
dielectric layer used a gel prepared using 0.4%
agarose added to demineralized water (relative permittivity of 80), which allowed a flexible pad to be formed. The phantom
setups were a Siemens cylindrical phantom (doped with nickel-sulphate to give a
short T1) for B1+ measurements and a spherical
brain-mimicking phantom for MRS. The Siemens commercial 12-channel head
matrix coil was used for receive and the body RF coil
for transmission. Phantom images were acquired on a 3T Siemens TIM TRIO scanner.
The images included a low flip angle gradient-echo sequence that was used for
SNR estimation and B1+ maps were acquired using the AFI12 sequence. Localized 1H spectroscopy used PRESS sequence with TE of 23ms,
and TR of 3000 ms, 20x20x20 mm3 voxel, 16 averages and MEGA-PRESS
with TE of 68ms, TR of 3000 ms, 20x20x20 mm3, 32 averages, MEGA-editing
was achieved with 17-ms editing pulses applied at 1.9 ppm and 7.5 ppm in
alternate spectral lines.Results
Figure 1d shows simulations
in the human brain comparing setups with and without the metasurface. The
results show an enhancement of the local B1+ by
approximately a factor-of-three in the vicinity of the pad (the pad was located
5 mm from the head). The simulated maximum local SAR normalized to input power
was the same with and without the metasurface, although the SAR spatial
distributions were different. Figure 2 shows phantom B1+ simulations
and measurements results, with a maximum enhancement of a factor-of-four in B1+
and 3.5 in the SNR (B1-/√P) in the low flip angle
gradient echo image. Figure 3 shows experimental results from the MRS
acquisition comparing a voxel planned near the metasurface and another at the
far-end of the phantom. The voxel was located 2 cm from the metasurface. At
this location, both PRESS and MEGA-PRESS showed an enhancement of 1.75 in the
SNR near the metasurface.Conclusions
In this study we designed a
new flexible and compact metasurface for 3T that can be beneficial for MRS
measurements, improving the receive sensitivity as well as the transmit
efficiency, thus reducing scan time. Further control and optimization of the
SNR enhancement and SAR reduction can be performed by manipulating the
dimensions of the dielectric, the length of the copper strips and the distance
between the strips. Figure 4 shows that greater enhancement can be achieved in
deeper regions of the brain by using two metasurfaces. This work has shown an
improvement in SNR of a factor of 1.75 in MRS acquisition of a voxel located 2
cm from the pad. In vivo studies are planned to perform localized GABA
measurements. Acknowledgements
We are
grateful for receiving the software of the MEGA-PRESS sequence from the CMRR
group that was developed by Edward Auerbach and Malgorzata Marjanska and for preparation
of the mimicking brain phantom by Osnat Volovyk.References
[1] Puts
N.A.J., Edden R.A.E., Prog Nucl Magn Reson Spectrosc, 2012;60:29-41, [2] Mullins P.G. et al. Neuroimage 2014; 86: 43–52. [3] Tremblay
S. et al., Clinical Neurophysiology.
2014; 125(7): 1371–1379. [4] Bogner
W. et al. Neuroimage 2014; 103: 290–302, [5] Farivar R., et al. Magn. Res. Med.
2016; 76:321–328 [6] Snaar JEM, et al. NMR in Biomedicine, 2011; 24(7): 883-87.
[7] Brink WM, et al.
Invest. Radiol. 2014; 49(5): 271-277. [8] Freire, M. J., et al. J. Magn. Reson.
2010; 203: 81–90. [9] Algarin JM et al. J. Magn. Reson. 2014; 247: 9-14 [10]
Slobozhanyuk, AP. et al. Adv. Mater. 2016; doi: 10.1002/adma.201504270, [11] Christ A., et al.,
Phys. Med. Biol., 2010: 55, N23–38 [12] Yarnykh V., Magn. Reson. Med. 2007;57:192–200.