Ming Lu1,2, Yijin Yang3, Haoqin Zhu4, and Xinqiang Yan1,2,3
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 3Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, United States, 4SINO Canada Health Institute Inc., Winnipeg, MB, Canada
Synopsis
Keywords: RF Pulse Design & Fields, RF Arrays & Systems
Motivation: There is a lack of tools for predicting the component values for such irregular wireless volume coils.
Goal(s): The goal is to propose a novel co-simulation method that accurately predicts the capacitance distribution of irregular volume coils.
Approach: We validated this method using various shapes of irregular volume coils, including bottle-shaped, dome-shaped, and elliptical coils, at both 1.5 T and 3 T.
Results: The consistency between the simulated and practical capacitance further confirms the accuracy and reliability of the proposed probe-based co-simulation methods.
Impact: This
co-simulation method can guide fabricating wireless irregular volume coils and can be extended to
other types of wireless coils.
INTRODUCTION
Wireless
coils are increasingly used in MRI as they do not require costly components,
such as preamplifier models, baluns, coil plugs, and coil ID circuits [1-3]. To
maximize the sensitivity of wireless coils, they are favorable to conform to
the anatomy of the region of interest. Consequently, the optimal shape for
these wireless coils may extend beyond the confines of a cylindrical surface.
For instance, a dome-shaped coil offers a higher SNR in head imaging as it
captures the MR signal from both the top and sides of the head. In hand and
wrist imaging, a bottle-shaped coil provides a higher SNR because it better
matches their geometry. However, there is a lack of tools for predicting the
component values for such irregular wireless volume coils. Existing theories
and tools primarily focus on cylindrical volume coils. Building a high-quality
irregular wireless volume coil can be laborious or impractical without knowing
the approximate capacitance values.
In
this study, we propose a novel co-simulation method that accurately predicts
the capacitance distribution of irregular volume coils. It is based on multiple
H-field probes and reduces the number of time-consuming full-wave
electromagnetic (EM) simulation attempts. We validated this method using
various shapes of irregular volume coils, including bottle-shaped, dome-shaped,
and elliptical coils, at both 1.5 T and 3 T.METHODS
Figure
1 illustrates the proposed probe-based co-simulation method for wireless coils
and Figure 2 shows the workflow. Double probes with different orientations are
placed in different locations within the wireless coil (Figure 1A). Each pair
of double probes will detect a resonant peak (Figure 1B). We first replaced the
lumped capacitors with 50-ohm ports like the conventional co-simulation method
[4]. Then, we added double probes at different locations and with different
orientations. Furthermore, the S-parameter matrix, including the information on
the ports in double probes and ports in the wireless coil, was exported into
the RF circuit simulation tool for capacitance optimization. After obtaining
the optimal capacitances from the RF circuit simulation, we employed these
capacitances and re-performed the EM simulation in the Ansys HFSS.
The
probe-based co-simulation method was validated in bottle-shaped (1.5 T),
dome-shaped (1.5 T), and elliptical coils (3 T), as shown in Figure 3. Coils'
conductor trace and housing were designed in Solidworks and exported as an
exchangeable format (STEP file, Figure 3 A-C). These files were imported into
HFSS, and double probes were added (Figure 3 D-F). RESULTS and CONCLUSION
Figures
4A-C display the simulated resonant peaks detected by double probes in
bottle-shaped, dome-shaped, and elliptical coils, utilizing the optimal
capacitance determined through co-simulation. These resonant peaks were
observed at the Larmor frequencies (64 MHz or 128 MHz) for probes located at
different positions and orientations, indicating that the wireless coil
operates in the desired uniform mode and quadrature mode. Figures
4D-F show the simulated B1 field of the body coil with the presence of the
wireless coil. Significant increases in the B1 field within the wireless coil
were observed, confirming the efficiency of the wireless coil.
To
validate the simulation results, we fabricated coils with the exact dimensions
in practice. Figure 5 compares the values of capacitors predicted by simulation
with those used in practical applications. The consistency between the
simulated and practical capacitance further confirms the accuracy and
reliability of the proposed probe-based co-simulation methods. We noticed that
the probe-based co-simulation method is a general approach and could be
extended to more complicated wireless resonators, such as metamaterial-inspired
period resonators.Acknowledgements
This
work was in part supported by NIH grants R21 EB029639. The content is solely
the responsibility of the authors and does not necessarily represent the
official views of the National Institutes of Health.References
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