766 IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 27, NO. 6, JUNE 2008
A Dynamic Vector Model of Microstrip RF
Resonators for High-Field MR Imaging
A. Vukovic*, P. Sewell, D. McKirdy, D. Thomas, T. M. Benson, C. Christopoulos,and P. Glover
Abstract—This paper describes a dynamic vector model for
modelling the electromagnetic characteristics of microstrip
radio-frequency (RF) resonators for high field magnetic resonance
imaging (MRI). A biological tissue-equivalent load having a cir-
cular cross section is assumed in the analysis. The dynamic model
uses the well-known Green’s function for cylindrically stratified
media to characterize all six components of the electromagnetic
field excited by the microstrip lines. The accuracy of the method as
a function of its parameters is assessed and the results compared
with those obtained from the quasi-static method often used at
low frequencies. The limits of the quasi-static assumption are
investigated by comparing values for the modal propagation
constant and the terminating capacitances required to tune the
cavity resonance over a frequency range of 100 MHz–1 GHz. The
dynamic method is further used to analyse the modal content of a
microstrip head resonator. Finally, a variational approach is used
to assess the impact of the intermodal coupling for the case of
small perturbations in the shape and the position of the cylindrical
phantom.
Index Terms—Green’s functions, magnetic resonance imaging
(MRI), radio-frequency (RF) resonators.
I. INTRODUCTION
A
FUNDAMENTAL component of magnetic resonance
imaging (MRI) systems is the radio-frequency (RF)
resonator; a resonant device that generates and receives an
oscillating transverse magnetic field within a sample being
imaged. Desirable features of RF coils are high signal-to-noise
ratio (SNR), high- factor, and uniformity of the transverse
magnetic field across the biological sample. Demand for ever
higher image resolution and SNRs are increasing the magnetic
field strengths employed by MRI systems. Current clinical
scanners are usually between 1 T and 3 T while research based
systems have higher magnetic field strengths of 7 T and 11 T
[1]–[3]. The operating frequency is directly governed by the
Larmor frequency of the proton at a particular magnetic field
Manuscript received April 11, 2007; revised November 5, 2007. This
work was supported by Engineering and Physical Sciences Research Council
(EPSRC) under Grant GR/S80950/01. Asterisk indicates corresponding author.
*A. Vukovic is with the George Green Institute for Electromagnetics
Research, School of Electrical and Electronic Engineering, University
of Nottingham, University Park, Nottingham, NG7 2RD, U.K. (e-mail:
Ana.Vukovic@nottingham.ac.uk).
P. Sewell, D. McKirdy, D. Thomas, T. M. Benson, and C. Christopoulos are
with the George Green Institute for Electromagnetics Research, School of Elec-
trical and Electronic Engineering, University of Nottingham, Nottingham, NG7
2RD, U.K.
P. Glover is with The Sir Peter Mansfield Magnetic Resonance Centre, School
of Physics and Astronomy, University of Nottingham, Nottingham, NG7 2RD,
U.K.
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TMI.2007.913120
strength. Hence, to image water in tissue at 7 T a frequency
of 300 MHz is used. At these frequencies, the electromagnetic
wavelength in the biological sample becomes comparable to its
size, resulting in so-called “dielectric resonance” effects [4] and
a nonuniform transverse magnetic field. Practically this leads
to inhomogeneous -fields producing—MRI images with a
bright and faded regions and also significant radiation losses.
Several approaches have been taken to improve the per-
formance of the RF coils for higher field strengths. First,
the design of RF resonators is typically moving away from
low-frequency birdcage coils towards cavity-like resonators
that employ microwave transmission lines such as microstrip
or strip-line. This change is motivated by the fact that more
uniform fields and improved, sensitivity, and -factor can be
obtained [1], [6]–[8]. Second, more accurate characterization
of RF resonators is being undertaken with a shift away from
simple lumped element equivalent circuit models that neglect
the wave-like nature of the electromagnetic fields at higher
frequencies. To date, two classes of techniques have been re-
ported for modelling MRI RF resonators. Full-wave numerical
methods such as the finite difference time domain (FDTD) and
method of lines (MoLs) techniques have been used to model
microstrip and coaxial line RF coils [9], [10]. In particular,
the FDTD method has received significant interest due to its
ease of implementation and the opportunity for parallelization
to improve run times. However, FDTD and MoL techniques
both typically employ a uniform square discretization of the
geometry resulting in step-like approximations of the more
circularly shaped RF resonator, resonant rods, and biological
load. Furthermore, the necessity to adequately model both the
large and small features of the RF coil demands the use of
finely graded grid which inevitably results in a computationally
expensive simulation. As a number of papers have already
reported that at higher frequencies optimization of the coil, in
terms of its structure and excitation, will become ever more
important [10], [11], it is clear that the use of slow numerical
methods are not ideal simulation tools in this context.
Analytical method based upon transverse electromagnetic
wave (TEM) approximations in which the axial electric and
magnetic field components are assumed to be of negligible
importance has also been reported [12]. Although this approach
has been successfully employed to simulate small microstrip
RF coils at 200 and 300 MHz [12], increasing magnetic field
strengths require higher operating frequencies in which case
the TEM approximation becomes less valid. Furthermore, the
standard analysis of MRI resonators assumes a cylindrical
phantom for a human head which in centrally located in the
resonator. Although this is a good first approximation for the
head, small, but practical, discrepancies in the cross sectional
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