Paul-François Gapais1,2, Michel Luong3, Eric Giacomini1, Alexandre Vignaud1, François Nizery4, Gabriel Maitre4, Sajad Hosseinnezhadian2, Marc Dubois2, Elodie Georget2, and Alexis Amadon1
1BAOBAB, Université Paris-Saclay/CEA/Joliot/NeuroSpin, GIF-SUR-YVETTE, France, 2Multiwave Imaging SAS, Marseille, France, Metropolitan, 3DACM, Université Paris-Saclay/CEA/IRFU, GIF-SUR-YVETTE, France, 4LCAP, CEA/DRF/IRFU/DIS, GIF-SUR-YVETTE, France
Synopsis
Keywords: RF Arrays & Systems, RF Arrays & Systems, Coil
A fully
customized 32-channel receive array has been designed, fabricated and evaluated
using MR experiments at 7T. The design is made of non-geometrically decoupled
loops arranged in two layers of large and small loops. Copper loops are 3D
printed from additive manufacturing, preamplifiers are home-built, and an easy implementation
procedure is proposed. Receive array performances shows SNR comparable to the Nova
Medical reference coil while being superior at the top of the coil and for
parallel imaging accelerated in the vertical direction.
Introduction
Traditional implementation of receive arrays at 7T requires a complex iterative procedure while the use of low-impedance preamplifiers offers limited degree of freedom for decoupling optimisation. In addition, the reference Nova coil (Wilmington, MA) has a very narrow casing (18.5-cm wide in the left-right dimension), which prevents adequate ear protection or audio-stimulation for large heads. We propose a new coil design with increased dimensions and non-geometrically decoupled loops arranged in two layers with home-built preamplifiers directly placed on the loops. Moreover, to make full use of new Electron Beam Melting (EBM) additive manufacturing1-3 techniques, the 3D printing process of loops is investigated for reproducibility purposes.Methods
The helmet
dimension is 20.5cm wide and 22cm high. For patient comfort and to enable
convenient fMRI studies, a large opening is kept around the eyes, nose, and mouth.
This receive array is integrated into a dedicated detunable transmit-only birdcage
coil. The coil system will be next referred to as “M-ONE”, name of the associated
EU-funded project.
The inner
layer is composed of 24 small loops in 3 rows with different sizes (Fig.1) and the
outer layer is composed of 6 large loops and 2 supplementary loops around the eyes
and forehead. The outer layer serves to fill the gaps between the small loops and
to enhance sensitivity deeper in the brain. The loops within the same layer are
non-overlapped in order to lower the g-factor4 and to facilitate implementation.
The loops are 3D-printed in pure copper using the Electron Beam Melting (EBM) additive
manufacturing technique. A “U” section is chosen to facilitate
implementation and better mechanical strength. Preliminary tests demonstrated
an SNR similar to that of a conventional copper wire. Each loop mounted on the
helmet is tuned (reactance zeroed) at the Larmor frequency (1H at 297.2MHz)
inside the detuned birdcage coil (all other loops are left open). A set of 32
preamplifiers was produced in-house, with SNR performances comparable to
WanTcom’s WMM7RP (Chanhassen, MN): SNR variation was less than 1dB and preamplifier decoupling
showed an average blocking impedance5 of 240 Ω presented to the coil
ports. This in-house solution allowed to control trade-off between noise figure
and preamplifier decoupling and cost half the price of the commercial
preamplifier. The high-impedance technique facilitates the implementation as the
preamplifiers were directly connected to the loops and no further iterative
tuning was required.The SNR of the whole array was simulated and showed
expected performances comparable to the Nova coil5.
The
experimental SNR is computed on a spherical agar phantom (16cm diameter with εr = 72; σ = 0.9 S/m; T1 = 577ms) centered in the helmet using GRE sequence (2mm
isotropic resolution, TR = 10ms, TE = 3ms, FA = 8°, acquisition matrix = 128x96x80),
and a 0V acquisition for noise measurement. Scanner data is pre-whitened and the
image is reconstructed with a sum-of-square Rx-combination; SNR is corrected
for excitation disparities. The g-maps are computed in post-processing
with the SENSE algorithm6.Results and Discussions
Flip angle
maps are shown for both coils in Figure 2. Among multiple experiments with
slight phantom positions changes, the SNR averaged on the whole phantom shows
that the M-ONE coil achieves between 93% and 99% of the NOVA coil SNR (Fig.3).
Nevertheless, the SNR distribution is different between the two coils: the top
half of the sphere (along B0 direction) showed an improvement of 1 to 4%
compared to the Nova while the bottom half had 85 to 90% of the NOVA coil’s
SNR. The greater number of small elements compared to the reference at the top
of the coil explains the higher SNR.
The noise
correlation matrix off-diagonal elements shows a mean value of 7.4% and a
maximum 47.1% compared to 9.3% mean and 44.8% maximum for the Nova coil (Fig.4).
The non-overlapping loops within the same layer are beneficial to reduce noise
correlation7. The g-maps are computed for acceleration factors of 6,
8 and 3 in directions x, y, and z, respectively (Fig.5). While M-ONE coil shows
higher g-factors when z-accelerated, lower g-factors are found when
accelerating in the y-direction, and the same performance is observed in the x
direction. The high number of channels of the M-ONE coil in the y-plane accounts
for these lower g-maps compared to the reference, whereas the higher number of
channels in the z-direction is beneficial for the Nova coil. Conclusion
A fully
customized 32-element receive array with increased dimensions was built using copper
3D printing technique, and low-cost home-built preamplifiers. Its performance demonstrated
global SNR and g-maps comparable to the reference Nova coil while providing
superior SNR at the top of the phantom and for parallel imaging accelerated in
the y-direction. The 3D printing process associated with direct high-impedance
preamplifier provides a fast and low-effort integration procedure to build
high-channel-count receive array, whose SNR and g-factors can be easily shaped
to best fulfil any specific application. Future developments will focus on
increasing preamplifier decoupling performances as well as choosing a low-loss
substrate for preamplifiers PCB. For the next step, in-vivo experiments will be
performed, first in “restricted SAR” mode8 with the insertion of
metamaterials9.Acknowledgements
These
research activities have received funding from the European Union's Horizon
2020 research and innovation programme under grant agreement No 952106 (M-ONE project); from the Excellence Initiative of
Aix-Marseille University – A*MIDEX, a
French “Investissements d’Avenir” programme; and the Leducq Foundation (large
equipment ERPT program, NEUROVASC7T project) for scanner acquisitions. Technological
studies and the coil designs for additive manufacturing printing have been made
as part of the CEA's ICARE skill transversal program, in collaboration with the
teams from the DRF/IRFU/DIS and the DRT/LITEN/DTNM; loops were printed in
collaboration with Aidimme (Valencia, Spain).
References
1) H.
Vanduffel et al. “Additive Manufacturing of Subject-Conformal Receive Coils for
Magnetic Resonance Imaging” Advanced
Materials Technologies n/a, no n/a (s. d.): 2200647. https://doi.org/10.1002/admt.202200647.
2) Guschlbauer, Ralf, Pär Arumskog, et Simon Eichler. « Electron Beam Melting of Pure Copper – From
Research to Industrialization ». In 2020 IEEE 21st International
Conference on Vacuum Electronics (IVEC), 89‑90, 2020https://doi.org/10.1109/IVEC45766.2020.9520506.
3) Luis
Portolés Griñán et al. Pure Copper processed by Electron
Beam Melting (EBM) technology for industrial applications - Euro
PM2018
4) Larkman D.J. (2007) The g-Factor and Coil Design. In: Schoenberg S.O., Dietrich O., Reiser M.F. (eds) Parallel Imaging in Clinical MR Applications. https://doi.org/10.1007/978-3-540-68879-2_3
5) P-F Gapais et al. “SNR Evaluation with High Input Impedance Preamplifier Decoupling Performance for a 2-Layer and 32-Channel Receive Array for Brain Imaging at 7T” Proceedings of the ISMRM 2022 Conference, Abstract 1450
6) Pruessmann, Klaas P, Markus Weiger, Markus B
Scheidegger, et Peter Boesiger. « SENSE: Sensitivity Encoding for Fast
MRI », Magnetic Resonance in Medicine 42:952–962 (1999)
7) P-F
Gapais et al. “On The Noise correlation in
Receive Phased Arrays” Proceedings of the ISMRM 2022 Conference, Abstract 1537
8) N. Dudysheva et al. “New “restricted SAR mode”
definition based on a thermal conservative model for relaxed unconditional safe
in vivo experiments” Proceedings of the ISMRM 2022 Conference, Abstract 2550
9) Vergara Gomez, Tania S et al. “Hilbert Fractal Inspired
Dipoles for Passive RF Shimming in Ultra-High Field MRI”. Photonics and Nanostructures - Fundamentals
and Applications 48 (1 février 2022): 100988. https://doi.org/10.1016/j.photonics.2021.100988.