Kelly Byron1, Fraser Robb2, Shreyas Vasanawala3, John Pauly1, and Greig Scott1
1Electrical Engineering, Stanford University, Stanford, CA, United States, 2GE Healthcare, Aurora, OH, United States, 3Radiology, Stanford University, Stanford, CA, United States
Synopsis
As the number of devices accompanying patients inside
the MRI bore increases, so does the need for reliable powering inside the MRI. The high-power B1 field in MRI
suggests the capability to harvest power wirelessly from the scanner itself. With high quality factor coils and a high efficiency
class-E rectifier we are able to harvest 100s of µJ /TR. However,
B1 harvesting will generate flip angle banding when harvesting loops are near
imaging regions. These banding artifacts
increase with increasing coil size and decrease with larger coil loading.
Introduction
Additional on-patient monitoring devices are
becoming more common in the MRI bore with a need to power these devices. Non-magnetic batteries have limited power
levels and must maintain a high charge.
The high-power B1 field in MRI suggests the capability to
harvest power wirelessly from the scanner itself. This concept was shown in 1, where
almost 10 µJ of energy/TR was harvested to power a
VCO. Here, we examine how to make an
efficient energy harvester, delivering 100s of
µJ of energy/TR to a resistor load. Efficient energy harvesting requires careful
attention to coil design, rectifier design and both patient and resistor
loading. The power harvester design is
also limited by requirements for MRI compatibility, such as coil size and flip
angle distortion relative to the desired imaging region.Methods
Typical wireless power transfer (WPT) systems2
use resonant inductively coupled coils to transfer and receive power at a particular
frequency. This is modeled as a two-port
network, with efficiency dependent on the coil coupling and quality factors (Q),
as well as the load impedance. For small
harvesting coils, the mutual inductance to the MRI whole-body coil is quite low. Hence, Faraday’s law alone determines the voltage
induced on a resonant harvesting coil (Figure 1A) and is dependent on the field
strength, frequency, and size of the harvesting coil. A perfectly resonant coil then acts as a
voltage divider between the parasitic resistance and the load impedance. The proximity to the patient will cause
additional parasitic loading losses on the harvesting coil, modeled by Suits3
load equations. For three harvesting coils (Figure 1B), induced
conductivity losses are shown versus distance from the conductive (𝜎 = 0.5 S/m)
medium in Figure 2A. Figure 2B shows the
measured unloaded and loaded Q of each coil, with conductive loading having the
greatest effect on the largest coil, as expected. Disregarding rectifier losses and assuming
peak B1 of 10 µT, peak power, delivered to a 2 Ω load, increases with patient
separation for the largest coil. At fixed
distance from the conductive surface (0cm), an optimal load resistance maximizes
power delivery (Fig. 2D). For the simple
series-resonant matching network, this optimal load equals the parasitic
resistance of the coil plus induced conductive loss. Figure 1A shows the complete harvesting
circuit, which includes a class-E resonant rectifier for RF-to-DC power
conversion. This rectifier is designed
based on equations in [4], with the diode parasitic capacitance resonated out
at the MRI frequency by inductor Lr to improve rectifier efficiency. At 1.5T, the MRI frequency is sufficiently
high that no additional capacitance is needed across the diode.Results
Given the induced voltage dependence on B1, different
pulse sequences will transfer different amounts of power. The DC power from the rectifier was measured
by a high-impedance oscilloscope via long coax through 1kΩ common mode
resistors. The energy harvested per TR was
calculated by integrating the output power (V2/R) over time for
different load impedances. Figure 3
shows results for GRE sequences with a long TR of 150ms, 10ms TE, increasing
flip angle and number of slices. D shows
that the energy harvested for each coil is much higher with a 2 Ω load, since
this is close to the optimal load for the series-resonant matched coils. However, A-C show that a 2 Ω load is not
sufficient to hold a constant output voltage over the lengthy TR. With limited storage (& MR compatible)
capacitance, a much higher resistance is required to lengthen the RC time
constant. Figure 4 shows the energy
harvesting results for a Fast GRE sequence, with 10ms TR. With shorter TR, smaller load resistors can
be used, increasing the harvested energy.
Figure 5 shows GRE images with TR of 150ms and flip angle of 60°. Harvesting
power from the B1 field generates an RF current in the harvesting
coil at the MRI frequency, causing banding artifacts in the MR image. These banding artifacts increase with
increasing coil size and decrease with larger coil loading.Discussion & Conclusions
We were able to harvest 100s of µJ /TR through the use of high Q coils with a high
efficiency class-E rectifier. The harvested power is highly dependent on pulse
sequence RF duty-cycle - it is most feasible for high duty cycle sequences.
However, B1 harvesting will generate flip angle banding when harvesting loops
are near imaging regions. Separators that limit proximity may be useful, and
orientation must ensure the loop surface is normal to B1. Ultimately, RF
harvesting seems best suited to sub ~100mW levels of power delivery.Acknowledgements
We would like to thank GE Healthcare for their
research support. This project is
supported by NIH grant R01EB019241.References
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“Wireless powering using MRI pulse sequences”, Proceedings of the 24th Annual
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Vasanawala, J. Pauly, and G. Scott, “Switching Impedance Matching and Primary
Coil Array Using RF MEMS Switches for a Wireless Power Transfer System.” Proc.
Intl. Sco. Mag. Reson. Med. 26 (2018).
3. Suits, B. H., A. N. Garroway, and J. B.
Miller. "Surface and gradiometer coils near a conducting body: the
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(1998): 373-379.
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“Analysis of class e zero-voltage-switching rectifier,” IEEE transactions on
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