Andrea N Sajewski1, Tales Santini1, Matthew Saich1, Tiago Martins1, and Tamer S Ibrahim1
1University of Pittsburgh, Pittsburgh, PA, United States
Synopsis
A 7T microstrip
RF coil was designed based on the Tic-Tac-Toe (TTT) concept that has previously
shown homogeneity and load-insensitivity. Simulations were performed to compare
B1+ distributions between the microstrip TTT and standard
TTT coils. A 4-channel microstrip coil was assembled and B1+
maps were acquired at 7T. Nearly equivalent B1+ distributions
were observed, indicating the potential for using a
highly
dense microstrip array to provide excellent
homogeneity and reduction of SAR while enabling unique designs,
such as conforming to the anatomy of interest.
Introduction
The Tic-Tac-Toe (TTT) family of RF coils1-6
has shown to provide homogeneous and load-insensitive B1+ for 7T MRI. Several groups have investigated using
microstrip Tx coils at 7T.7,8 This work presents a novel microstrip
antenna design that is simpler to fabricate and more versatile than the current
TTT design and provides equivalent B1+. Methods
A 4-channel microstrip panel
(Figure 1b) was designed based on the existing TTT concept1-6
(Figure 1a). Finite difference time domain
(FDTD) simulations with a transmission line model were performed using in-house
developed software. The coil was tuned and matched by adjusting the values of
the capacitors in the simulation.
The simulation of a 4.25 in x 4.25
in microstrip TTT coil was compared to the simulation of the standard TTT coil
of equivalent size (Figure 2a-b, Figure 3a-b). The standard TTT panel has been
used in a double-row octagon arrangement which has been shown to improve B1+
homogeneity and SAR in the human head and provides more degrees of freedom for
RF shimming.5,6
A 4.25 in
x 4.25 in microstrip panel was assembled using a Rexolite plastic substrate and
copper sheets for the ground plane and conducting TTT element. Variable
capacitors were used for tuning and matching to a center frequency of 297.2 MHz
and an impedance of 50Ω. B1+ maps were acquired on a spherical saline phantom
using a 7T MRI scanner (Siemens, Erlangen, Germany) using a Turbo-FLASH
sequence with the following parameters: TR/TE = 2000/1.16 ms; TA = 12 min; flip
angle from 0° to 90° in 18° increments; 3.2mm isotropic resolution. Channels
were combined with 90° phase shifts for quadrature excitation. Results
Figure 2
shows Smith charts from the simulations of the standard TTT coil and the
microstrip TTT coil as well as the experimental Smith chart for the microstrip
coil. Figure 3 compares the B1+ field distributions from the simulations of the
standard TTT coil, simulations of the microstrip TTT coil, and experimental B1+
maps from the microstrip TTT coil. Central slice profiles of B1+, outlined by
the dashed lines in Figure 3a-b, are displayed in Figure 4 to compare the
simulated B1+ of the standard TTT and microstrip TTT coils. Discussion and Conclusion
B1+ distributions are consistent
between the simulated standard TTT and microstrip TTT and between the
simulations and experimental B1+ maps of the microstrip TTT. Overall differences in
signal intensity between the simulated and experimental B1+ maps (~27%) can be
attributed to losses in the coil, cables, connectors,
TR switch, and power splitters.
The
microstrip TTT coil shows nearly identical B1+ field distributions to the
standard TTT coil, which, when used in a multichannel array, is effective at
reducing SAR and providing homogenous B1+ in the human head at 7T.5,6 The microstrip design, however, is simpler to construct than
the standard TTT design and enables unique geometries, such as a cylindrical or
conformable design. Future work will explore the design, simulation, and
construction of multichannel microstrip TTT arrays.Acknowledgements
This
work was supported by the National Institutes of Health under award numbers R01MH111265
and R01AG063525 and by the National Science Foundation Graduate Research
Fellowship under Grant No. 1747452. This work used the Extreme Science and
Engineering Discovery Environment (XSEDE), which is supported by National
Science Foundation grant number ACI-1548562 and was also supported in part by the
University of Pittsburgh Center for Research Computing through the resources
provided. References
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