Filiz Yetisir1, Esra Abaci Turk1,2, P. Ellen Grant1,2,3, Elfar Adalsteinsson4,5, and Lawrence L. Wald3,5,6
1Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA, United States, 2Department of Pediatrics, Harvard Medical School, Boston, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 5Harvard-MIT Division of Health Science and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 6Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
Synopsis
3T
MRI provides increased SNR but poses technical challenges for fetal imaging
such as increased field inhomogeneity and SAR. RF shimming can address some of
these challenges but also adds safety considerations. Using a diverse set of 5 numerical
pregnant body models generated from patient MRI datasets, we found that 2-channel RF shimming can improve transmit field amplitude and
uniformity by up to 19% and 36% respectively without increasing maternal or
fetal SAR. The biggest difference in SAR and transmit field patterns was
observed between the supine models and the left lateral model.
Target audience
MR
physicists and clinicians interested in RF safety of 3T fetal imaging.Introduction
3T
MRI can improve the quality of fetal imaging compared to the more established
1.5T MRI due to improved SNR1,2. However, transmit field inhomogeneities and specific
absorption rate (SAR) concerns at 3T can reduce this gain and limit imaging
speed3. Parallel transmission (pTx)4–6 has the potential to mitigate transmit field
inhomogeneities and reduce SAR and several 3T scanners today already utilize two
channel pTx systems. However, the safety of pTx systems for fetal imaging is
severely understudied. Moreover, one previous study7 found that two-channel RF shimming can
significantly increase fetal SAR and advised restriction to circularly
polarized (CP) birdcage mode for pregnant subjects. They used three pregnant
body models with different gestational ages (3-, 7- and 9-month-old) all
artificially generated from the same non-pregnant female body model. In this
study, we examine RF safety of two channel RF shimming at 3T for a more diverse
set of numerical pregnant body models with differing posture, BMI, arms’
position and gestational age generated from MRI data of actual pregnant
subjects8.Methods
We
utilize 5 pregnant numerical body models previously generated8; BCH1, BCH3, BCH4, BCH5, and BCH4_woA as well
as the 7-month-old model by the IT’IS Foundation9, called "PW_II" in short. The fetal tissues in PW_II were simplified to
two tissue classes, “fetal brain” and “fetus”, similar to the BCH models. These
body models were loaded into a 2-channel 32-rung high pass birdcage body coil, tuned to
123.2 MHz, as shown in Figure 1. All
tissue dielectric properties were assigned according to the IT’IS database10
except “fetus”, “fetal brain” (Hand et al.11), and
“amniotic fluid” (Peyman et al.12). Electromagnetic
simulations were carried out using Sim4Life (Zurich MedTech, Zurich,
Switzerland). Virtual
observation points (VOPs)13 were computed with an overestimation factor of
1% and used to estimate maternal and fetal peak 10g-averaged local SAR
(pSAR10g). Maternal and fetal SAR were calculated for a range of RF shim
settings where the relative amplitude and phase of the two channels was varied
from 0 to 2 (steps of 0.1) and -90° to
270° (steps
of 10°) respectively. CP mode corresponds to a relative amplitude/phase of 1/90°. In order to quantify imaging performance,
average B1+ and variation of B1+ (coefficient
of variation, CV) inside the fetus were calculated similarly to Murbach et al.7 for each model and RF shim setting. All SAR and
B1+ values were normalized to whole-body average SAR of 2
W/kg.Results
Figure 2 shows the average B1+ and B1+ variation patterns for the specified RF shim
settings for all models. Imaging performance patterns are mostly similar across
models except for the one in the left lateral position. Figure 3 shows overall
(maternal and fetal) and fetal pSAR10g and fetal average SAR (aveSAR) patterns.
In general, overall pSAR10g and fetal SAR have roughly opposite patterns as
reported in Murbach et al.7 Overall pSAR10g and fetal
pSAR10g values as well as fetal aveSAR values across all models are compared in Figure 4. CP mode fetal and maternal SAR vary significantly (by a
factor of 1.9-2.3) among models as reported in Abaci-Turk et al.8. Maternal and fetal SAR varies
by a factor of 3.5-6.2 across different RF shim settings and models. The highest
average B1+ and lowest B1+ variation
achievable with RF shimming (with or without increasing maternal and fetal SAR compared to CP mode) are described in Table 1.Discussion
RF
shimming can improve average B1+ and B1+
variation inside the fetus by up to 28% and 49% respectively while keeping the
whole-body average SAR at 2 W/kg. Without increasing maternal or fetal SAR
compared to each model’s corresponding CP mode SAR levels, RF shimming can
improve average B1+ and B1+
variation by up to 19% and 36% respectively (Table 1). Note that for models
with low CP mode SAR values, restricting SAR to below that of the CP mode
is more limiting compared to models with high CP mode SAR values. Safety of
RF shimming for fetal MRI should be further investigated by temperature
simulations7,14 to determine SAR levels that could be
considered “safe” for all subjects. This way, SAR constraints for models with
low CP mode SAR values (such as IT’IS PW_II and BCH4_woA) might be relaxed,
improving the imaging performance of “safe” RF shimming. Both imaging
performance and SAR patterns vary most significantly between the left lateral
model and the supine models. Imaging performance patterns depend on the
chosen ROI, which was the entire fetus for this study (similar to Murbach et
al.7). In the future, we will repeat the same analysis
for when the ROI is the uterus. In order to improve computational efficiency in
the estimate of SAR for hundreds of shim settings and 6 different body models,
we used VOP matrices computed from interpolated fields (from a nonuniform grid onto
a uniform grid). This introduced up to 9% error for the CP mode SAR values. Finally,
motion is an inevitable part of fetal MRI and its effect on B1+
and SAR patterns will be studied in the future. Acknowledgements
This work was supported by R01EB017337,
U01HD087211, R01EB006847, P41EB015896, PS1 4000002543, Siemens MR.References
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