Madhav Venkateswaran1, Kevin Johnson2, Daniel van der Weide1, and Sean Fain2
1Electrical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States
Synopsis
We present models for
wirelessly powering implants using the transmit RF excitation for MRI. Detailed
models were developed for all hardware components of the transmit chain,
including actual MRI sequences. Candidate pulse sequences were compared to
predict how wireless powering could operate synchronously with imaging. The methods are useful in designing and optimizing wireless powering inside the MRI scanner.Inroduction
Wireless
MRI techniques
1 could be useful in real-time image-guided surgery,
by overcoming challenges of limited accessibility, electrical routing and cable
interference. Previously, we demonstrated the concept of wirelessly powering
implantable devices utilizing the B1 transmit
field synchronously with imaging
2,3. Here, we develop system models for
wireless powering using different MRI pulse sequences and compare wireless
powering performance.
Methods
Fig
1 shows the proposed concept and Fig 2 shows the developed system model. When
the transmit pulse is active (modeled as an ideal switch in Fig 2), RF power is
coupled into the harvester coil (modeled by a gain element) and rectified
2,3. A large output capacitor serves as an energy reservoir. The receive (or
instrument activation switch) controls when power is supplied to the instrument
or sensor being powered. A low-dropout output regulator, ensures that a
constant ripple-free DC voltage is supplied. For the load, we consider a low-power
Colpitts VCO in the medical radio frequency band of 403.55 MHz, driving a
miniaturized antenna. The VCO was designed to operate at a bias point of 1.8 V
and 2 mA (3.6 mW). providing an output power > -10 dBm to the antenna. Circuit
level simulation models for each system component was developed using Agilent
ADS 2014. Manufacturer-supplied models for the Schottky diodes and voltage
regulators were used. Ideal switch models and transfer function-based gain
elements were used to model the transmit amplification chain and the wireless
coupling.
The
transfer function-based approximations can be justified by the relative
homogeneity of the B1+ excitation field. To establish consistency of our model
we performed measurements of wireless coupling of power (peak values) into a
series-tuned 2 cm tuned rectangular harvester loop (on a 1.2 cm wooden dowel)
when scanning using a fast SPGR sequence in a 3 T GE scanner. Peak RF energy
coupled into the harvester coil was measured using a Rohde and Schwarz Spectrum
Analyzer with a 40 dB attenuator in series (to protect the instrument from high
instantaneous coupled power).
System-level
simulations using two candidate basic MRI pulse sequences were performed. Fast
GRE sequences with extremely short TR can be implemented resulting in a greater
frequency of transmit pulses. Fast spin echo uses several RF pulses of high
flip angle (180) in a single TR, also resulting in a higher duty cycle of RF
excitation pulses in a single TR. The time (in a single TR) and duty cycle for
which the VCO-based RF transmitter could operate at different operating powers
was simulated to analyze the performance capability of a data transponder
powered simultaneously during imaging.
Results
$$E=\int_{0}^{pulse
length}C_{storage}V_{harvested}(t)\frac{ dV_{harvested}(t)}{dt} (1) $$
Fig 3 shows agreement between
experimental and simulated peak coupled RF power into the harvester coil during
imaging when acquiring axial fast SPGR images (Fig 4). Fig 4 shows some
interference when the harvester coil is placed at the imaging slice. However,
the artifact is significantly diminished in the slice just outside the
harvester coil.
The
simulation results comparing different pulse sequences for wireless powering
establishes that energy harvesting from the B1 field during MRI is a possibility.
The sampling window during MRI signal acquisition is often less than 10% of TR
and it is seen that the duty cycle is greater in most cases. This implies that
imaging synchronous operation is realistic. Table I also gives some insight
into choosing of scanning pulse sequences for wirelessly powering devices
inside the scanner. fGRE pulse sequences using FA > 30° can potentially be
operated throughout a T1-wighted scan. Hamming-windowed sinc pulses provide
higher energy harvesting efficiency compared to rectangular pulses with same
parameters. The relation of FA and duty cycle of the VCO is highly nonlinear as
seen by difference in performance at 15° and 30° FAs. The required supply
voltage could not be achieved by the rectifier circuit for the 15° rectangular
pulse. This resulted in a 0% duty cycle. Use of a VCO as the driven load
entails very specific bias points for consistent operation. The FSE pulse
sequence is also a good candidate due to the repetitive 180° pulses. However, simulations
require a large amount of memory and so were only performed between successive
180° pulses.
Conclusion
Experimental
measurements of peak power coupled into the harvester coil agreed well with our
predictions using the gain block. Since we relied on
manufacturer supplied simulation models for most components, the simulation
results are representative of the actual system. Insight gained into
suitability of pulse sequences and scanning parameters for wireless powering is
useful in pursing further system optimization and practical realization.
Acknowledgements
This work was supported in part by the UW-Madison Graduate School's Robert Draper Technology Innovation Fund (TIF)References
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