Olga M. Dona Lemus1, Norman B. Konyer2, and Michael D. Noseworthy2,3
1McMaster University, Hamilton, ON, Canada, 2Imaging Research Centre, St. Joseph's Healthcare, Hamilton, ON, Canada, 3Electrical and Computer Engineering, McMaster University, Hamilton, ON, Canada
Synopsis
We compared
a fractal patterned micro-strip surface coil with a simple circular micro-strip
surface coil for hyperpolarized 129Xe lung imaging applications. Both
patterns were simulated using a finite element solver and electric and magnetic
fields were calculated in the surface coil and adjacent air volume. The
fractal-patterned coil showed relatively higher magnetic field compared to the
circular coil in both the micro-strip surface and the air volume. Although,
further simulations are required, fractal-patterned designs of MRI coils could offer specific improvement in
signal penetration and magnetic field homogeneity.
Introduction
For decades, fractal
geometries have been successfully employed and exploited in the design of
antennas for telecommunication systems1 but to our knowledge this approach has rarely
been employed in the design of novel radiofrequency (RF) coils for magnetic
resonance imaging (MRI). This is
important because engineering and physics research continues to generate new
ways to measure biomarkers of lung physiology using hyperpolarized 129Xe
MRI. However, pulmonary applications of 129Xe
MRI is exquisitely sensitive to RF coil field (B1+)
inhomogeneities that often result in signal intensity artifacts which mask the
novel information inherent to these unique images2. Until now, however, no engineering approaches
have been designed or implemented to prospectively correct B1+
inhomogeneities. Our objective was to explore fractal geometry in the design of
RF coils to minimize B1+ inhomogeneities with direct
application in hyperpolarized 129Xe MRI.Methods
A Koch fractal-shaped
micro-strip was selected as it closely resembles a simple circular surface
coil. Fig1.a1, a2 shows the circular and fractal design respectively. Both copper micro-strip coils were mounted on
a 5mm thick substrate RO4305 with a 20mm thick air radiation box on top. Both coils were tuned to 35.3MHz (129Xe
frequency at 3T) with 50Ω match, as seen in Fig1.b1, b2. All simulations were performed in HFSS3,
which is a well-known finite element solver for electromagnetic structures. Results and Discussion
The
energy radiated by the circular and fractal coils is represented by the radiation
pattern on Fig1.c1, c2 in polar coordinates. A radiation pattern defines the variation of
the power radiated by an antenna as a function of direction away from the
antenna. This power variation as a
function of the arrival angle is observed in the antenna's far field on Fig1.
d1, d2. Here, it can be observed that the fractal-patterned coil shows a more
homogeneous radiation pattern than the circular coil. The electric (e1, e2) and magnetic (f1, f2)
field distributions at the surface of the micro-strip conductor for both
resonators are shown in Fig.1. It can be seen that the fractal-patterned coil
shows relatively higher H field compared to the circular coil. Quantitative
measurements of both fields are also presented in Table1. The maximum E field in
the surface of the fractal-patterned micro-strip coil is reduced 68% compared
to the E field in the circular coil while the mean H field at the surface of
the fractal-patterned micro-strip coil is 30% higher and more evenly
distributed than the H field from the circular coil. Table1 shows the maximum and mean magnetic
field calculated in the air volume adjacent to the coil. In the air volume, the fractal-patterned coil
shows relatively higher H compared to the circular coil.
Conclusions
Fractal-patterned MRI coils could offer some improvement in signal penetration and magnetic
field homogeneity, while concurrently reducing the electric field. However, further studies including additional
patterns and iterations are necessary to determine the optimal geometry design. Acknowledgements
No acknowledgement found.References
1. Cohen,
Fractal antenna applications
in wireless telecommunication IEEE Prof Prog Proc, 1997.
2. Miller
et al., Hyperpolarized
3He lung ventilation imaging with B1-inhomogeneity correction in a single
breath-hold scan Magn Reson Mater Phy. 2004;16(5):218-26
3. ANSYS
HFSS, 3D Full-wave Electromagnetic Field Simulation by Ansoft.