Synopsis
High permittivity materials, in the form of
“dielectric pads” are used in neuroimaging and body applications to improve B1+ homogeneity and intensity or to reduce corresponding SAR measures. In 3D,
systematic pad design is computationally intensive with very long associated
simulation times. We propose a hybrid solution to this problem by combining the
flexibility of FDTD to model complex background configurations
(coil/shield/subject) with an integral equation approach that takes the
presence of a dielectric pad into account. This solution leads to speed up
factors of 30 – 40 compared with conventional FDTD approaches and enables
effective 3D dielectric pad design. Purpose
The efficient computation of the RF field is crucial
for 3D dielectric pad design.
1,2 Such computations are usually
carried out by FDTD-based solvers. This approach offers great generality and
allows for the inclusion of the RF coil, shield and heterogeneous body model,
but simulations may be very time-intensive. Alternatively, Maxwell’s equations
in integral form can be used to model the RF field.
3 An advantage of this approach is that the
problem size is much smaller than in FDTD, since it is essentially determined
by the size of the dielectric pad. However, structures such as the RF coil and
shield are hard to include into such a model, and large variations in
permittivity are difficult to model accurately. We therefore propose a hybrid method,
which exploits the advantages of both approaches, i.e. the flexibility of FDTD is
combined with the localized nature of the integral approach. The resulting hybrid
method is accurate, fast, and enables us to efficiently design 3D dielectric
pads.
Methods
Since a pad forms a small perturbation of a
given background configuration (coil/shield/body), we use the integral approach
to setup a scattering formalism. Specifically, with the help of the so-called
Sherman-Morrison-Woodbury (SMW) formula,4 the electric field in the
total configuration can be written as
$$\textbf{E}^\text{tot}=\textbf{E}^\text{back}+\textbf{Z}\left(\textbf{I}-\textbf{V}^\text{T}\textbf{Z}\right)^{-1}\textbf{V}^\text{T}\textbf{E}^\text{back}$$
where $$$\textbf{E}^\text{back}$$$ represents
the field in the background configuration, while the second term represents the
scattered field due to the pad. As soon as the electric field is found, the
magnetic field follows from Maxwell’s equations.
The library matrix Z contains the Green’s functions and is constructed using an FDTD
solver (XFdtd, Remcom Inc.) by computing the field response for point sources at
possible pad locations in the background configuration. Matrix Z is background-dependent and does not
specify any of the dielectric properties of the pad, nor its location. It has
to be constructed only once and can be computed offline. During online pad
design, only the pad-matrix V
changes and computing the action of the inverse in the above formula can be
carried out very rapidly, since its size is equal to the number of voxels
occupied by the pad. This number is obviously much smaller than the total
number of voxels in the computational domain, and therefore the corresponding RF
field can be computed very efficiently.
Results
To evaluate the proposed method, matrix
Z was created for a human head model
(Duke, IT’IS foundation) placed in a 7T quadrature birdcage coil. The offline
construction of this matrix typically takes several hours with conventional
FDTD software. Subsequently, a dielectric pad (18x18x1 cm
3, ε
r=285, σ=0.25 S/m) was placed on the side of the head
and the resulting RF field was computed using the new method (Figure 1) and
FDTD. A speed-up factor of ~35 was achieved for this problem (8.5 vs. 300
seconds), while even larger factors of ~50 were obtained for smaller pads. The
simulated
B1+ maps are shown in Figure 2 along with a measured
B1+ map obtained
in vivo using a DREAM
B1+ mapping sequence (2.5 mm
2 resolution, 5 mm
slice thickness, STEAM/imaging tip angle = 50°/10°).
5 The measured
and simulated
B1+ maps are in excellent agreement with each other. The
secondary field induced by the dielectric pad is clearly visible as well.
Discussion
The hybrid method proposed in this abstract provides
an effective platform for efficient pad design. By exploiting the advantages of
FDTD and an integral approach in an off- and online part, respectively, pad parameter
sweeps can be carried out very efficiently to determine its appropriate
geometry and constitution. In the first part of our method, a background library
matrix is constructed, which can be computationally intensive and, depending on
the particular background configuration, may take several hours to complete.
Fortunately, these computations can be carried out offline and speed up factors
of ~35 are achieved in subsequent simulations during the online part of the method.
Given that the thickness, width, length, and constitution of the pad need to be
optimized (leading to hundreds of combinations), the proposed method is much more
appropriate than standard FDTD approaches. Other potential applications include
the evaluation of, for example, small implanted medical devices and the modeling
of SAR effects.
Conclusion
The proposed hybrid method is able to efficiently
compute the effect of dielectric shims in configurations where the coil, shield
and body are taken into account. The method is fast, accurate, and agrees with
experiments, which makes it a key building block for systematic 3D pad design.
Acknowledgements
This research was funded by the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO), STW Project #13375.References
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