Synopsis
It is common practice to perform full-wave electromagnetic
modeling to characterize RF transmit coils and establish safety parameters
limiting power and SAR to comply with guidelines for pre-clinical use with
human volunteers. Currently-available female voxel models are unsuitable for
simulating the filling factor of breast coils designed for women in the prone
position. Accurate breast modeling is further confounded by variability of
lipid and fibroglandular tissues, with modeling implications owing to disparate
conductivity and permittivity values. This work presents simulations at 7T
using high-resolution, anatomically-correct breast phantoms exhibiting varying
proportions of fatty and fibroglandular tissues, as well as breast tissue
girth, length, and positioning within the RF coil, demonstrating the effects of these variables in
projected SAR for breast imaging. Purpose
Full-wave
electromagnetic modeling is often employed to characterize RF transmit coils
and establish safety parameters restraining power to comply with IEC/FDA guidelines
limiting SAR. Modeling SAR for prone breast imaging can be problematic, as the
four publicly-available female whole-body models are oriented in the standing
or supine positions.
1-4 Furthermore, applicability of breast
modeling is complicated by the anatomical variability of lipid and
fibroglandular tissues exhibiting disparate electrical and physical properties.
This work presents simulations at 7T using a set of high-resolution,
anatomically-correct breast phantoms exhibiting varying proportions of fatty
and fibroglandular tissues, with ACR BI-RADS breast density classifications of a-d.
Moreover, effects of altering the girth and length of the breast tissue, as
well as the positioning within the RF coil, are modeled.
Methods
Four breast phantom spanning
the four density classifications and derived from 3D MRI acquisitions
5
were converted for import into commercial FDTD software (XFdtd 7.4, Remcom,
State College, PA). The frequency-dependent dielectric properties of breast
fat, breast glandular tissue, and skin at 298 MHz, for 7T, were assigned from
the IT’IS tissue properties database.
6 A quadrature 1H
breast volume coil gridded at 1-mm resolution (the maximum cell
size validated against bench impedance measurements and scan data) was meshed to
provide excitation.
7 The phantom size was scaled for four different scenarios: 1)
centered with 1-cm spacing and full coil loading of 8-cm depth interior of the
coil; 2) 2-cm spacing with 8-cm depth; 3) 1-cm spacing with 4-mm depth; and 4) offset
with 1-cm and 3-cm spacing to the coil on the L/R axis and 8-cm depth. Each of
these phantoms was extruded and seamlessly fused to the Ella whole-body voxel
model.
8 The quadrature coil was driven by 298 MHz sinusoidal feeds
with appropriate 90° phase shifts and amplitudes delivering equal power to each
channel. Cell gridding was meshed between 0.5-1.0 mm for the coil and phantom,
and all curved geometries utilized the software’s conformal meshing
capabilities. The model was surrounded by a quarter-wavelength of free space
padding cells, and the boundary comprised seven perfectly matched layers.
Simulation convergence was determined by transients dissipating to -50 dB deviation
from the pure sinusoidal wave. Steady state field data and SAR were calculated throughout
the phantom. All results were scaled to achieve an average |B
1+|
within the coil of 1 μT.
Results
Figure 1 displays
calculated 10-g average SAR values and plots of the breast phantoms on the central
sagittal plane. The SAR plots indicate increased power deposition in the
higher-conductivity and permittivity fibroglandular tissue regions. At close
1-mm spacing and full 8-cm depth, the extreme fibroglandular breast phantom
exhibited threefold the average SAR as compared to the fatty phantom. The effect
was moderated with greater spacing between the phantom and the coil, but in all
cases, the densest tissue phantom demonstrated the highest SAR.
Discussion & Conclusion
The results demonstrate
variation among breast phantoms presenting varying levels of heterogeneity of healthy
fat and glandular breast tissue. This example illustrates the discrepancy of
modeling results at high fields for various breast densities. For studies
requiring high power, a priori knowledge of the subject’s breast density
classification allows for adjusting coil operation guidelines, ensuring safety
limits are respected while maximizing power availability. Regardless,
characterization and SAR analysis of a breast coil should include modeling with
a breast phantom exhibiting extreme fibroglandular tissue.
Acknowledgements
The author acknowledges initial development of the breast phantoms for microwave imaging by the
Hagness group at Wisconsin.References
[1] Christ A et al., Phys
Med Biol 2010; 55(2):N23. [2] Nagaoka T et al., Phys Med Biol 2004;49(1):1. [3]
Dimbylow P, Phys Med Biol 2005;50(6):1047. [4] Liu W et al., Appl Magn Reson
2005;29(1):5-18. [5] Zastrow E et al., IEEE TBME 2008;55(12):2792-800. [6]
Hasgall P et al., 2013, v2.5. [7] McDougall MP et al., JMRI 2014;40(5):1165-73. [8] Rispoli J, Wright S, Malloy C,
McDougall M, in review.