Hongbae Jeong1, Matthew Restivo2, Peter Jezzard1, and Aaron Hess3
1Wellcome Centre for Integrative Neuroimaging, FMRIB, University of Oxford, Oxford, United Kingdom, 2Laboratory of Imaging Technology, Biochemistry and Biophysics Centre, NHLBI, NIH, Bethesda, MD, United States, 3Department of Cardiovascular Medicine, British Heart Foundation centre of research excellence, University of Oxford, Oxford, United Kingdom
Synopsis
We propose a workflow to validate parallel
transmission (pTx) RF heating patterns using Proton-Resonance Frequency shift
(PRF)-based MR thermometry. An agar+polyethylene powder cylindrical phantom,
with similar dielectric properties to the human brain at 297.2 MHz, was
designed to assess an 8-channel dipole array. RF heating was evaluated and
compared between PRF-based MR thermometry, fibre optic probe measurement, and
thermal simulation. The PRF reconstruction procedure was optimized to reduce
artefacts. Given the importance of RF safety in pTx applications, this method
enables accurate validation of RF heating simulations with minimal additional
hardware requirements.
Introduction
Parallel
transmit at 7T poses an RF safety challenge due to the potential for high local
SAR coupled with the complexities of predicting SAR a priori. There is a need to validate pTx systems beyond EM
simulation given the possibility that the simulation model does not accurately
represent the physical coil. Other work has investigated SAR validation via PRF-based
MR thermometry1. Previously, limitations to
thermometry in SAR validation included compensation for B0 drift and
artefacts in the phase maps from B1+ signal voids. However, these limitations
can be overcome by combining thermometry, fibre optic probe temperature
monitoring, a dummy stabilization scan, and a dual mode B1+ shim. By applying
these techniques, we present a test procedure that provides accurate 3D
temperature maps that could appropriately validate a generic pTx array.Methods
An
agar+polyethylene powder (20% PE) cylindrical phantom, with similar dielectric
properties to the human brain at 297.2 MHz (εr: 47.76, σ: 0.62 S/m)2,3 was designed to assess a 7T
8-channel dipole array (MR Coils, Utrecht, Netherlands) (Fig. 1). Imaging was performed using a human 7T
scanner (Siemens, Germany). Experiment: PRF-based RF
heating was measured in the phantom using a 3D GRE sequence, modified to deposit
either 0 W or 10 W average power at 10 kHz off resonance on a specified channel
of the pTx coil. To achieve robust phase maps over the whole phantom two
interleaved RF shim modes were acquired, one in circularly polarised (CP) mode,
and one with zero phase on all elements. The PRF sequence had an acquisition
resolution of 5x5x10 mm3 and matrix 64x64x32 with elliptical k-space coverage (TR = 14
ms, and TEs ranging from 1.08 ms to 9.26 ms in steps of 2.04 ms, acquiring one dual
shim volume pair every 44s). To monitor and calibrate potential B0
field drift due to gradient coil heating, 60 volumes were acquired without RF heating
and absolute temperature changes were monitored using a two-channel fibre optic
probe (Neoptix, Canada). To assess RF heating, 30 volumes were acquired with no
heating, followed by 30 volumes with continuous heating on a single channel of
dipole array. A flip angle map was acquired using a pre-pulse method
(Siemens-WIP543, TR/TE:10s/1.97ms). Data processing: Channels were
combined using receive sensitivities determined by singular value decomposition
along all echoes and repetitions4. The echoes were combined by
conjugate multiplication of pairs (1-to-2, 2-to-3, 3-to-4, 4-to-5) and averaged.
Finally, PRF thermometry values were calculated using the phase difference
between the average of two no-heating images and each active-heating image (α: -0.01 ppm/°C)5.
The flip angle map was converted to B1 transmit field per unit voltage (μT/V).
Simulation:
Sim4Life (ZMT, Switzerland) was used to solve Maxwell’s equations in the
time-domain, yielding E-field and SAR distributions. The package’s bio-heat
equation was then used to simulate the heating profile, using a specific heat
capacity assigned from the literature3, and a thermal conductivity
calculated from the measured thermal diffusivity (Cp= 3600 J/kg/K, k=0.463W/m/K).Results
Without additional RF heating, the phase drift
due to gradient heating showed a significant spatially dependent B0
drift during the initial 14 mins (20 repetitions) on our scanner, which then
stabilized (Fig. 2). Spatial first-order fitting in X, Y, and Z (Fig. 2b)
showed that only a constant (spatially invariant) drift remained after 20
repetitions (Fig. 2a). In subsequent RF heating experiments, the ‘baseline’
reference images for PRF calculation were therefore chosen as the 21st
and 22nd acquisitions, and subsequent system frequency drift was
corrected from the absolute temperature measured in the object centre with a
fibre optic probe. The results of the simulated and measured B1 transmit field
in a single representative element are compared in Figure 3, showing good
agreement provided the experimental reflected power is accounted for. The
results of PRF-based MR thermometry are compared with the simulated temperature
map in Figure 4. The relative temperature changes at the edge of the phantom,
as measured by fibre optic probe, PRF, and simulation are compared in Figure 5. Discussion
A
PRF-based method to assess RF heating in a phantom has been demonstrated and
compared with thermal measurement and simulation. We found that spatially
varying field drift is insignificant on our scanner if a stabilisation period
is used, mitigating the need for multiple fibre optic probes, oil references,
or magnetic field monitoring6,7. Using two transmit modes for
imaging provides whole phantom PRF coverage independent of heating channel.Conclusions
With RF safety playing an important role in pTx
applications, this method enables accurate validation of RF heating simulations
with minimal additional hardware requirements.Acknowledgements
Thanks to Oxford-Radcliffe Graduate Scholarship
(University College Oxford) and Clarendon Fund. British Heart Foundation Centre
of Research Excellence (Oxford)References
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