Youheng Sun1, Miutian Wang2, Gang Yang3, and Winmin Wang2
1College of Future Technology, Peking University, Beijing, China, 2School of electronics, Peking University, Beijing, China, 3Institute of Biomedical Engineering, Peking University Shenzhen Graduate School, Shenzhen, China
Synopsis
Keywords: RF Arrays & Systems, Simulations, Antenna array
Motivation: The multi-channel RF coil scheme for 14T head imaging has not been defined yet.
Goal(s): Our goal was to optimize the number of elements in the dipole antenna array in order to achieve optimal performance at 14T.
Approach: We obtained the $$$\text{B}_{1}^{+}$$$ field distributions and SAR distributions of dipole antenna arrays with 8, 12, 16, and 20 channels through electromagnetic simulation, and compared their performances.
Results: The results showed that the 12-channel dipole antenna array exhibits superior performance.
Impact: The number of channels
in an RF coil at ultrahigh fields requires a trade-off between RF field
uniformity and inter-cell coupling; 12-channel dipole antenna array serves as a
suitable reference coil for 14T head imaging.
Introduction
At ultra-high fields,
the increased frequency causes the wavelength of electromagnetic waves in brain
tissue to significantly decrease compared to the size of the human head1. Consequently,
the imaging location shifts from the near field to the far field region of the
radio frequency (RF) antenna2. Dipole antennas, known for their simple
structure and high transmitting efficiency, have gained significant attention
as a representative far-field antenna. Recently, dipole antenna arrays have
demonstrated excellent performance in ultra-high field MRI systems exceeding
7T3,4.
A
crucial challenge in ultra-high fields is the issue of inadequate RF
uniformity. Enhancing uniformity can be achieved by increasing the number of
channels through RF shimming5. However, this approach can amplify the
coupling between units, resulting in energy loss6. Consequently, a trade-off
exists between achieving high RF field homogeneity and low mutual coupling.
This study employs electromagnetic(EM) simulations to calculate the
S-parameters, $$$\text{B}_{1}^{+}$$$ field distributions, and SAR value of dipole antenna arrays
with 8, 12, 16, and 24 channels. The objective is to compare the performance of
these arrays and determine the dipole antenna array that exhibits the highest
performance in 14T system.Method
The designed multi-channel dipole antenna
arrays are shown in Fig. 1. For all of the arrays, dipole antennas are evenly
distributed on a coil holder with a 230 mm diameter. Each dipole antenna has a
diameter of 3 mm and a length of 225 mm. A uniform cylindrical phantom of which
the electrical properties mimic the human brain($$${{\varepsilon
}_{r}}$$$=47.52, $$$\sigma$$$=0.66 S/m)
was placed on the center of the dipole antenna array.
Numerical simulations and analysis of the dipole
antenna arrays were conducted by Computer Simulation Technology, (Darmstadt,
Germany). A Time-domain solver was employed, and the solver accuracy was set to
-50 dB in the EM simulations. Boundaries of the RF coil models were all set to
open, and the bandwidth was set to 580–620 MHz.
The performance the dipole antenna arrays were
evaluated by the S-parameters, $$$\text{B}_{1}^{+}$$$ field, and SAR in the EM simulations. To
achieve circularly polarized (CP) mode, an equal 1W power was applied to all
channels with a phase shift. The value of $$$\text{B}_{1}^{+}$$$ fields and 10g SAR were
calculated based on the simulated power normalized to 1 W. Results
The reflection
coefficient(S11) and coupling coefficient between neighboring elements(S21) of
the different dipole antenna arrays are shown in Fig 2. The S11 of the four
arrays at 596MHz was approximately -27 dB in 8-channel, -40 dB in 12-channel,
-15 dB in 16-channel, and -15 dB in 20-channel,respectively
which indicated that all of the dipole arrays have an acceptable tuning and
matching effect. 8-channel array and 12-channel array show better decoupling
performance with S21 below -15 dB. S21 was around -10 dB for 16-channel array and about
-8.5 dB for 20-channel array , indicating severe coupling of neighboring antenna
units. The simulated $$$\text{B}_{1}^{+}$$$ efficiency, 10g SAR and SAR efficiency of the
8-channel, 12-channel, 16-channel, 20-channel dipole arrays were calculated and
shown in the Fig.3, Fig.4, Fig.5, respectively. The highest B1+ efficiency, 10g SAR, and SAR efficiency are indicated below the figures.Discussion
Figure 2 demonstrates a
notable increase in S21 with an increasing number of channels. This can be
attributed to the increased coupling resulting from the proximity of
neighboring elements as the number of antennas increases. Observation
of Figure 3 reveals the inhomogenity of the 8-channel array, the low $$$\text{B}_{1}^{+}$$$ efficiency of the 20-channel array, and the closely comparable results of the
12- and 16-channel arrays. Figure 4 shows a decrease in the
local SAR value as the number of elements increases, with almost identical
results for the 12- and 16-channel arrays. Figure 5 demonstrates
the higher SAR efficiency of the 12- and 16-channel arrays compared to the
other arrays. The results indicate that the 12-channel and
16-channel arrays exhibit similar $$$\text{B}_{1}^{+}$$$ and SAR indexes. However, the 16-channel
array experiences coupling issues between neighboring channels, resulting in
some degree of energy loss. Therefore, 12-channel dipole antenna array
demonstrates superior performance.Conclusion
The number of channels
in the dipole antenna array at 14T was optimized to determine the optimal RF
coil scheme. Simulations were conducted to assess the performance of dipole
antenna arrays with 8, 12, 16, and 20 channels, evaluating their S-parameters,
$$$\text{B}_{1}^{+}$$$ field, and SAR values. Our findings indicate that the 12-channel dipole
antenna array exhibited the superior performance. In future work, further
improvement in RF field uniformity can be achieved through RF shimming
techniques.Acknowledgements
This work was supported by the Research and Development of Key Technologies and Equipment for Major Science and Technology Infrastructure of Development and Reform Commission of Shenzhen Municipality, China (Grant No. ZDKJ20190305002).References
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