Yun Tao1, Marshal Dian Sheng Wong1, Pablo Fernandez Medina2, Rosti Lemdiasov3, Shao Ying Huang4, and Bastien Guerin5
1Cambridge Consultants, Singapore, Singapore, 2Cambridge Consultants, Cambridge, United Kingdom, 3Cambridge Consultants, Boston, MA, United States, 4Biomed-EM Group, Singapore University of Technology and Design (SUTD), Singapore, Singapore, 5Department of Radiology, Martinos Center for Biomedical Imaging, Boston, MA, United States
Synopsis
Keywords: Safety, Safety, Modelling, MRI
Motivation: MRI RF safety evaluation requires simulations of many coils and body models, which is typically done using FDTD or FEM. These have complementary weaknesses, therefore we propose to combine them.
Goal(s): We propose a simulation process that combines FEM with FDTD via the Huygens’ principle.
Approach: We first compute the incident electric field created by the coil alone using FEM. Second, we compute field perturbations created by the body model using an FDTD Huygens’ implementation.
Results: The proposed method agrees well with the all-FDTD calculation at 64 MHz, but allows more efficient and flexible modelling of RF coils.
Impact: We propose a robust and flexible simulation method combining the strengths of FEM and FDTD via the Huygens principle that expedites coil and implant (ISO/TS10974 Tier 3) RF safety evaluations.
Introduction
Active implantable medical devices (AIMD) are more
and more common, which raises MRI safety and compatibility concerns. RF
interactions between MRI and implants are typically characterized using one of
the four-tier approach in TS/ISO 10974 1, with Tier 3 being the most used as it
leads to a relatively robust and fast evaluation. A central component of Tier 3
is the tangential electric field (E-field) distribution created by the MRI coil
in realistic body models along the implant path. For this analysis to be
robust, many simulations must be performed for various coils, body models and
landmark positions.
Detailed human body models, such as the
IT’IS/FDA Virtual Population 2, are naturally compatible with FDTD (Finite
Difference Time Domain) solvers because the voxel discretization of the Yee cell
matches the voxels imaged with CT and MRI 3. However, FDTD Yee voxels yield poor
staircase geometrical representation of MRI coils composed of thin copper
sheets. In addition, MRI coils have tuning and matching capacitors that are
also difficult to represent with voxels. Instead of simulating capacitors
within the field solver domain, it is easier to decouple the field simulation
step from tuning/matching step in a process called co-simulation. Finite
Element Modelling (FEM) is the ideal tool for this task as it allows
calculation of the entire scattering matrix of the coil in a single simulation,
whereas FDTD requires N separate simulations, where N is the number of
capacitors to be optimized. Additionally, FEM excels at discretization of thin
surfaces since it combines tetrahedron (for volume discretization) and triangle
elements (for surfaces).
We
propose a method that combines the strength of FEM in coil modelling with that
of FDTD in body model simulation using the Huygens’ method 4 and report the
accuracy in 1.5 T simulations. Methods
Figure 1A
shows the coil modelled in this work (1.5-T 32-rung highpass birdcage), loaded
with the Duke body model from the Virtual Family 2 centered with its pelvis
at isocenter. The workflow is as follows (Steps 1-3: FEM co-simulation, Step 4:
Huygens):
Step 1: The unloaded birdcage coil (no body
model) is simulated in FEM Ansys HFSS (Canonburg
PA, USA). Tuning capacitors are replaced by ports.
Step 2: The
resultant scattering matrix is loaded into the circuit simulator Nexxim. Tuning and matching capacitors are added in the circuit model and
are optimized at this stage. Two quadrature ports are added, driven with a 90° phase difference.
Step 3: The circuit
is solved and the port currents and voltages are applied to the sources of the
FEM model in HFSS, thus generating the incident field 5,6.
Step 4: The
inciden field is imported into FDTD as AC Huygens source, and the field
perturbation by the body model (no coil model) is solved. Results
The initial value of the tuning capacitors
calculated with Birdcage Builder 7 is 79.25pF, which was refined to
197.4pF after tuning using FEM and co-simulation (desired 16th mode of
the coil 8, see Figure 2).
The expected uniform B1+ distribution created by
the coil is shown in Figure. 3, as is the electric field with the typical
sinusoidal current distribution around the rungs visible in the transverse
plane.
The scattered fields in the body are then
computed using the FDTD method and the Huygens’ method with incident input fields from FEM. To validate our approach, the human body is simulated with an ideal birdcage coil in FDTD directly, whose rungs are replaced by ideal current sources. The incident field from this ideal coil is also employed to simulate the body using Huygens method. While the grid resolution of the body is 2mm, the grid
resolution of the coil in FDTD is 20mm to reduce the total voxels. There
is a good visible agreement between those E-field maps in Figure 4 and profiles in Figure 5.Discussion and Conclusion
Our results show
that the Huygens’ method reproduces accurately the electric field distribution
in complex voxel body models (here, Duke). The method decouples the coil and
the body model simulations, thus allowing to employ the best numerical tool for
each task. The result is a robust, flexible, convenient method for RF safety
evaluations in realistic body models. This approach is especially suited to the
simulation of many body models in the same coils, which is needed for Tier 3
ISO/TS 10974, since the incident field is computed once and the Huygens’ FDTD
solves can be run efficiently in batch mode. Acknowledgements
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