Kilian A. Dietrich1,2, Sebastian Klüter2, Benjamin R. Knowles1, Jürgen Debus2,3, Markus E. Ladd1,3, and Tanja Platt1
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Radiation Oncology, University Hospital, Heidelberg, Germany, 3Faculty of Medicine, Heidelberg University, Heidelberg, Germany
Synopsis
Electromagnetic field simulations were performed at 0.345T and 1.5T to
find an advantageous RF coil design for typical scanners in MR-guided therapy.
Hence, different birdcage coil designs were characterized and compared with one
another with respect to their corresponding transmit and receive field
characteristics.
Purpose
Recently, MR-guided radiotherapy (MRgRT) has gained popularity as an alternative
to conventional radiotherapy, which is performed either without image guidance
or with image guidance based on ionizing radiation [1]. The benefits of MR
guidance include enhanced soft tissue contrast as well as no additional dose
exposure caused by imaging. The key advantage of MRgRT lies in particular in adaptive
cancer therapy with inter-fractional treatment plan corrections and real-time
radiation gating. To potentially further decrease the dose to the surrounding,
healthy tissue, MR imaging can be combined with particle therapy [2]. A
possible realization would be a hybrid MR-ion beam system. However, this
configuration puts strict constraints on the RF coil of the MR system, which
would require large spatial openings for the particle beam while maintaining a
homogeneous RF-field over a large field of view (FOV). This is particularly
relevant in the direction of the particle beam, where field uniformity ensures reliable
contrast between different tissues. In this work, electromagnetic field
simulations were performed for MR scanners with an axial magnetic field of
0.345T and 1.5T to find an advantageous RF coil design for clinical scanners in
MRgRT. Birdcage coil designs [3][4] were investigated due to the requirement of
increased homogeneity in transmit and receive fields.Methods
Coil: In addition to the conditions mentioned above, the RF coil should
remain fixed with respect to the patient to ensure that the particle beam does
not hit the RF coil at any time. Hence, a 4-leg birdcage configuration that can
be attached relatively easily to a static coil housing was deemed suitable for
this purpose. The proposed birdcage body coil design with a length of 30cm and
a diameter of 60cm consists of a copper conductor of 100µm thickness. With this
geometry, almost the complete torso of a patient can be imaged without
occupying too much space in the scanner bore. Furthermore, this coil can be
used in scanners without an internal transmit coil, as it provides the option
of both receiving and transmitting RF-signals in quadrature mode.
Scanner: Commercially available MR-scanners for MR-guided therapy currently
possess a magnetic field strength of either 0.345T [5] or 1.5T [6]. Thus, the
resulting Larmor frequencies for hydrogen correspond to f=14.7MHz and
f=63.9MHz. Despite major simplification of the scanner design for the
simulations, standard dimensions of critical parts such as the bore with a 70cm
diameter and the gradient coil as boundary condition were taken from commercially
available scanners.
Simulation: The simulation was performed in CST Studio Suite 2019 [7] with
a frequency range from 0 to 150MHz. The total number of mesh cells in the
simulation model is 16-17 million, whereby the resolution inside the RF coil was
enhanced and a cell size of 2mm was allocated in close proximity to the signal
ports. To simplify the calculation, all metals were assumed to be perfectly
conducting whereas acrylic glass and vacuum were chosen as insulating materials.
The 3D-model is shown in Fig. 1. The gradient coil, which acts as an RF shield,
was implemented in the simulation model. Acrylic glass was used for all
considered insulators, namely the bore liner, the table, the housing of the
coil and the phantom. The dielectric properties were then extrapolated in CST
Studio Suite from ɛr=2.8 and tan(δ)=0.02 (1MHz) for the
required frequencies. For the phantom, a mixture with ɛr=55.54 and σ=0.4252$$$\frac{S}{m}$$$ for all
frequencies was simulated. Field homogeneity was investigated in a region of
interest (ROI) with the dimensions of 240cm × 170cm × 260cm.
Standard MR images can be calculated from the transmit (B1+) and receive fields
(B1-) via $$$S(\vec{x})=sin(\gamma\cdot B_{1,90^{\circ}}^+(\vec{x})\cdot t_P)\cdot B_1^-(\vec{x})$$$.Results
The homogeneity in transmit and receive field distributions was examined
in both a phantom and a human voxel model for a low-pass and a high-pass
birdcage configuration. As reported in the literature, the large-size high-pass
birdcage coil could not be tuned to the Larmor frequency at 0.345T of 14.7MHz [8].
The simulated low-pass birdcage configuration at 14.7MHz and at 63.9MHz and the
high-pass birdcage at 63.9MHz show good field characteristics with homogeneous
field distributions and uniform MR imaging capabilities (Fig. 2-4). This is
also confirmed by the low value of the determined coefficient of variation (COV=standard
deviation/mean) (shown in Fig. 5.), as low values correspond to small variation
of the fields. Slight field asymmetries are present in the B1+ and B1- field
distributions.Discussion and Conclusion
The presented simulation results demonstrate that a 4-leg birdcage is a
promising design for the application in MRgRT. Depending on the magnetic field strength
of the scanner in use, a high-pass birdcage might be feasible (e.g. for
63.9MHz), however a low-pass configuration seems more appropriate in the
frequency range of the considered MR-scanners (14.7MHz and 63.9MHz). Slight
inhomogeneities and asymmetries of B1+ and B1- field distributions for large
resonators were already reported in the literature [9][10].
In this work, simulations were performed for a closed bore liner without
an opening for radiation beams. A more sophisticated simulation with a
different magnet configuration with a central opening for radiation beams would
provide results closer to the expected design.Acknowledgements
The project received financial support from the German Federal Ministry
of Education and Research (BMBF, ARTEMIS project WP8, funding reference
13GW0436B).References
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