Thomas Dardano1,2, Lijing Xin1,2, and Daniel Wenz1,2
1CIBM Center for Biomedical Imaging, Lausanne, Switzerland, 2Animal Imaging and Technology, Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, Switzerland
Synopsis
Keywords: RF Arrays & Systems, RF Arrays & Systems
In
this work we explore a concept of dipolectric antenna array up to 38 receive channels.
We constructed and evaluated an 8-channel version of dipolectric antenna array for
human brain MRI at 7T and benchmarked its receive performance against a
commercial 1Tx/32Rx head coil. In vivo data obtained for 8-channel array along
with simulations (16- and 38-channel) indicate that a 38-channel dipolectric antenna
array could provide significantly higher SNR than the current state-of-the-art
solutions for human brain at 7T.
Introduction
A continuous pursuit for higher SNR in MRI remains
valid regardless of the B0 field strength. However, it was arguably
ultrahigh field (UHF) which pushed researchers to explore novel RF coil concepts
which enabled further receive performance gains. Some of those approaches were
particularly promising. For instance, it was demonstrated that dielectric
materials, not only in a form of a pad1 but a helmet2 as
well, are greatly suitable to increase SNR in human brain at 7T. In general, increasing SNR in the center of human brain can be considered more challenging since
it is not expected to be achieved simply by increasing the number of loop coil
elements in a receive array3. To address this issue, a 32-channel
loop-dipole combined array was developed4. By exploring novel
combinations of dielectric structures and dipole antennas, further receive
gains are anticipated. Recently, a novel alternative: dipolectric antenna - a combination of a loop-coupled dielectric
resonator antenna and a dipole antenna -
was introduced5. In this work, we further investigate that
approach in multi-channel arrays up to 38-channels and we compare its
performance with a standard commercial 32-channel receive-only loop coil array.Methods
Electromagnetic field simulations were performed using
Sim4Life (Zurich Medtech, Switzerland). 8-, 16-, and 38-channel dipolectric
antenna arrays which were loaded with human voxel model Duke and simulated
(Fig.1). For 8- and 16-channel arrays, DRA dimensions were (90x44x5)mm3
and the dipole antenna length was 250 mm. The 38-channel array was composed of
30 cylindrical DRA (diameter=60mm; and 50mm for 8 DRAs at the top of the head;
thickness=5mm) and 8 dipole antennas. The geometry of dipole antennas was
adjusted to the Duke’s head and were positioned above the cylindrical DRAs. Each DRA had the
same electrical properties (εr = 1070, σ=0.2S/m). Scattering parameter
matrices were obtained for each array (Fig.1). No additional decoupling
strategies were used. The B1- data for each channel were
normalized to 0.02 W forward power per channel (2), exported and used for the
SNR calculation and optimization (3). An 8-channel dipolectric antenna array
was constructed and evaluated at the bench. In vivo MRI experiments using a 7-T
head-only MR scanner (Siemens,Germany) were performed in a single subject with
the 8-channel dipolectric antenna array and a 1Tx/32Rx commercial RF coil (Nova
Medical, USA). B1+
mapping was performed using SA2RAGE6. Two-dimensional (2D)
transverse in vivo GRE images (1 mm x 1 mm, slice thickness = 1 mm, TR/TE =1000/3.37
ms, FA = 48°, 192 x 192 matrix) were acquired. Two acquisitions were performed:
a standard one and a noise-only (transmit voltage set to 0V) and the data were reconstructed
using the Kellman’s approach7 (including B1+
correction) to evaluate in vivo SNR.Results
In simulations, the worst inter-element channel
coupling for DRA-DRA was -8.0dB (8-ch), -10.2dB (16-ch), -7.6 and -10.1dB
(38-ch) - Fig.1. For dipole-dipole: -6.6dB (8-ch), -6.9dB (16-ch), -9.1 dB (38-ch). For
DRA-dipole: -9.5dB (8-ch), -10.6dB (16-ch), -10.5dB (38-ch). SNR was evaluated
for each one of the analyzed arrays: in the center of the Duke’s head, the
highest SNR was found for 38-ch: from 1.7- to 2.1-fold higher than the one for
8-ch (Fig. 2). An 8-channel dipolectric antenna array was constructed (Fig.3),
and to ensure RF safety, B1+ mapping in a spherical
phantom was performed observing a very good agreement between the simulations
and measurements (Fig.4). When compared with the commercial coil, a peripheral
SNR for 8-ch dipolectric array was up to 3-fold higher (Fig.5), but a central SNR was
approximately 0-40% lower (along the central horizontal profile – Fig. 5) for the
8-ch dipolectric array. To compensate for imperfections in image overlay a
small ROI (Fig.5B) was defined and the difference in SNR was 31.9±13.2% in
favor of the commercial coil.Discussion
This study demonstrates for the first time that
considerable SNR gains are achievable for a 38-channel dipolectric antenna
array for human brain MRI at 7T. An experimental SNR was evaluated for the
constructed 8-channel dipolectric antenna array and compared with a commercial
32-channel receive-only array demonstrating significant peripheral SNR gain (up
to 3-fold) and a lower central SNR by 31.9±13.2% for a small ROI in the center
of the brain (Fig.5B). However, simulations showed that a central SNR for
38-channel array is expected to be 1.7- to 2.1-fold higher than the one for
8-channel dipolectric array. If this gain can be practically realized, it could
not only outperform Nova coil but potentially also a 32-channel loop-dipole
array which was recently developed by Avdievich et al.4 Unfortunately,
due to variations in loading (Duke vs. the subject) and losses which were not included
in the simulations (cables, etc.) the results cannot be directly extrapolated.
However, the observed differences can be considered significant, and further
gains are anticipated by optimizing the DRA’s geometry and electrical
properties in the 38-channel array.Acknowledgements
The authors
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. Teeuwisse et
al., MRM, 2012
2. Lakshmanan et
al., MRM 2022.
3. Wiggins et al.,
MRM 2010.
4. Avdievich et al.,
MRM 2022.
5. Wenz and Xin, ISMRM
2022.
6. Eggenschwiler et
al., MRM 2021
7. Kellman et al., MRM
2005.