Open Access
3 June 2020 Ultraefficient thermoacoustic conversion through a split ring resonator
Lu Lan, Yueming Li, Tiffany Yang-Tran, Ying Jiang, Yingchun Cao, Ji-Xin Cheng
Author Affiliations +
Abstract

Microwaves, which have a ∼10-cm wavelength, can penetrate deeper into tissue than photons, heralding exciting deep tissue applications such as modulation or imaging via the thermoacoustic effect. Thermoacoustic conversion efficiency is however very low, even with an exogenous contrast agent. We break this low-conversion limit, using a split ring resonator to effectively collect and confine the microwaves into a submillimeter hot spot for ultrasound emission and achieve a conversion efficiency over 2000 times higher than other reported thermoacoustic contrast agents. Importantly, the frequency of emitted ultrasound can be precisely tuned and multiplexed by modulation of the microwave pulses. Such performance is inaccessible by a piezoelectric-based transducer or a photoacoustic emitter and, therefore, split ring resonators open up new opportunities to study the frequency response of cells in ultrasonic biomodulation. For applications in deep tissue localization, a split ring resonator can be used as a wireless, battery-free ultrasound beacon placed under a breast phantom.

1.

Introduction

The photoacoustic (PA) effect, first reported by Bell in 1880 when he invented the photophone,1 describes the generation of sound waves through pulsed light absorption by a material. Close to a century later, Bowen envisioned the use of this phenomenon for imaging under the excitation of ionizing radiation (e.g., x-rays) or nonionizing radiation (e.g., radiowaves and microwaves).2 With advances in laser, instrumentation, and algorithms, PA imaging has become a multiscale imaging tool from microscopic to macroscopic domains.35 Apart from numerous imaging applications, the PA effect has been recently utilized as a versatile ultrasonic source for ultrasound (US) imaging,6 tissue localization,7 ablation,8 and neuromodulation.9 Nevertheless, the dissipation limit of photons in a tissue fundamentally prevents PA applications over 7 cm in depth, at which photons are diminished to none by the strong tissue scattering.10 Even with near-infrared light that has less scattering effect and a high-energy fluence of 60  mJ/cm2,11 PA imaging barely reaches a depth of 5 to 7 cm. Active PA modulation at such depths is even more challenging to achieve.

Compared with light of a submicrometer wavelength, microwaves at the GHz frequencies have a centimeter wavelength and, thus, suffer from much weaker tissue scattering, which allows deeper penetration for tissue imaging and modulation. Deep tissue and transcranial imaging have been achieved with microwave tomography12 and thermoacoustic (TA) imaging.13 However, the absorption of microwaves by tissue is very low compared with the water absorption background, giving a dim image contrast.12 Numerous endeavors have been made to develop exogenous contrast agents with enhanced microwave absorption,1416 yet such improvement is limited to 1 to 2 times.16 Given the low absorption by either endogenous or exogenous agents, the use of microwaves for deep tissue applications (i.e., tumor localization and tissue modulation) is limited.

Additionally, current US emitters, either piezoelectric (PZT)-based transducers or PA emitters, have a fixed acoustic frequency and bandwidth once they are fabricated. This inability to tune the frequency in emission greatly hinders researchers from thoroughly understanding the frequency response of cells and tissues in US-mediated biomodulations, such as neural modulation17,18 and sonoporation,19 for drug delivery and gene transfer. For instance, US transducers of various frequencies ranging from 200 kHz to 32 MHz17,18 have been used for neural modulation. Yet, only transducers of select frequencies have been tested so far,20 which limits the mechanistic study of US modulation on neurons.

Here, we report a resonance antenna approach that concentrates microwave energy into a submillimeter volume for highly efficient TA generation with tunable US frequency. Through converting the energy of free propagating radiation into localized energy or vice versa, antennas have been widely used in radiowave and microwave applications and later extended in the optics domain, with applications covering photodetection,21 light emission,22 photovoltaics,23 and spectroscopy.24,25 By leveraging the strong local field confinement enabled by a split ring resonator (SRR)—a building block of microwave metamaterials,26,27 we demonstrate conversion of microwave energy to US waves at an unprecedented conversion efficiency that is three orders of magnitude higher than that of reported TA contrast agents.15,16 With as low as 100-W peak power, which is three orders lower than that used for TA imaging,28 our SRR generates a strong US at close to 40 dB signal-to-noise ratio (SNR) without averaging. More importantly, by leveraging the pulse wave modulation (PWM) on the input microwave pulses, the SRR presents itself as a single versatile acoustic emitter with the precisely controlled frequency of ultrasonic emission. Using a microwave pulse train at a tone burst of a designated interval of T, a single-frequency acoustic emission at 1/T is obtained. In experiments, single-frequency acoustic emissions ranging from 0.55 to 2.5 MHz are demonstrated, with a narrow bandwidth as small as 0.11 MHz. Moreover, a frequency-multiplexed emission of two frequencies at 0.63 and 1.67 MHz is shown, and a temporal multiplex of two ultrasonic frequencies at 0.55 and 1.30 MHz at a designated sequence is demonstrated. This versatile acoustic emission is beyond the reach of conventional ultrasonic sources. Collectively, the reported microwave-resonant US emitter promises broad applications in deep tissue localization and biomodulation in a wireless and battery-free manner.

2.

Materials and Methods

2.1.

Numerical Simulation of the Resonance Frequency of SRR

Simulations were performed using COMSOL Multiphysics 5.3a. In all simulations, the dielectric constant of canola oil was set to 2.4, unless otherwise specified. The excitation wave was provided using a port with a plane wave input that has E polarized in the y direction and H polarized in the z direction. The magnetic field is polarized perpendicular to the SRR plane (xy plane). Scattering conditions were used at the boundaries of the simulated area.

2.2.

Measurement of the Acoustic Signal Generated from the SRR

We placed the machined copper ring into a plastic tank filled with canola oil. A microwave signal generator (9 kHz to 3 GHz, SMB100A, Rohde & Schwarz) was used for the seed microwave generation, and a solid-state power amplifier (ZHL-100W-242+, Mini Circuits) was connected to amplify the generated microwaves to 100-W peak power. Next, the amplified microwaves were delivered through a waveguide (WR430, Pasternack) to the oil tank. The distance of the SRR to the waveguide was about 2 cm. For acoustic generation, the microwave source was operating at pulsed mode, and the pulse duration was 1  μs at a 1-kHz repetition rate, if not otherwise specified. A single-element ultrasound transducer (UST) (SV301, Olympus) with a 0.5-MHz center frequency was used to detect the generated acoustic signal. The distance between the transducer and the SRR was 52  mm. The received acoustic signal was first amplified by a pulser/receiver (5072PR, Olympus) at the receiving mode with a 59-dB gain and 0- to 10-MHz filter applied. Finally, the detected ultrasonic signal was read using an oscilloscope (DS4024, Rigol). To confirm the resonance effect, the frequency of the microwave excitation was scanned from 2 to 2.5 GHz.

2.3.

Comparison of the Acoustic Signal Generated from the SRR and Multiwall Carbon Nanotubes, a Thermoacoustic Contrast Agent

Deionized (DI) water or multiwall carbon nanotubes (MWCNTs) were mixed with saline solution in a thin polyurethane tube, following the protocol in Ref. 20. The polyurethane tube length was designed to be 39 mm to match the perimeter of the SRR. Acoustic signals from tubes and the SRR were individually recorded by the same 0.5 MHz transducer placed at a 52 mm distance away as described above. Due to the low and noisy signals from the tubes with low-excitation peak power of 100 W, their signals were averaged 8192 times and smoothed in postprocessing to obtain signals of good SNR, while the signal from the SRR was only averaged 2 times.

2.4.

Thermal Imaging

To visualize the temperature change of the ring under the illumination with microwaves, we mounted the ring on a thin plastic film, inverted the film, and floated it on a small oil container. By doing so, the ring was shallowly immersed in oil and the mid-infrared light radiated from the ring was captured by the thermal camera. A thermal camera (A325sc, FLIR) was mounted above and looked down at the ring floating in the oil container. The microwave source was running in a continuous mode and turned on for 250 ms for the thermal imaging experiment. The thermal camera captures the heating and relaxing process with a frame rate of 30 Hz for 20 s. A broader band power amplifier (0.7 to 2.7 GHz, ZHL-100W-272+, Mini Circuits) was later used in the thermal imaging experiments here.

2.5.

Thermoacoustic Imaging

We built a TA imaging system by replacing the single-element transducer with a transducer array (L7-4, ATL) and 128-channel US data acquisition system (Vantage 128, Verasonics). A function generator and a delay generator (9254, Quantum Composers) worked together to synchronize the microwave excitation and US detection modules. The function generator outputs a pulse at a 20-Hz repetition rate to the microwave signal generator. The delay generator received this master trigger and added a controllable delay td to trigger the US data acquisition. The delay can be tuned so that the acoustic field at different times after the US wave is generated at the ring gap. Note that it is equivalent to use the beam forming technique to postprocess the raw US data. The TA images were averaged 200 or 800 times to obtain images of good SNR.

2.6.

Arbitrary Frequency Multiplexed Acoustic Emission by Pulse Wave Modulation

To demonstrate the acoustic emission at any tunable frequency by the SRR, a function generator (Agilent 33220A) operating at the tone burst mode of a designated frequency with a period of 1 ms was applied on the microwave signal generator. A transducer with a 5-MHz center frequency was used to measure the generated TA signal and the received signal was averaged 64 times. Next, two output channels out of a four-channel pulse generator (9200, Quantum Composers) were employed to achieve frequency multiplex PWM on the microwave excitation in experiments. Later, the pulse generator controlled two function generators to generate two tone bursts with designated frequencies at a desired sequence and delay to produce the temporal multiplex PWM for experiments. In the experiments of frequency and temporal multiplex acoustic emission, the measured TA signals were averaged 4 times.

2.7.

Demonstration of a Wireless, Battery-Free, Ultrasound Emitter

As a proof-of-concept demonstration, we put the ring in a small oil bag and placed them under a breast biopsy phantom (BPB170, CAE Healthcare) to act as a wireless, battery-free, MHz US emitter. The same single-element transducer (SV301, Olympus) was placed on the top of the breast phantom to detect the generated acoustic signal. The microwave waveguide was positioned at different distances from the breast phantom to measure the distance dependence of the signal. Additionally, a card box and a box full of gloves were placed between the waveguide and breast phantom to demonstrate that the US generation by the microwaves is robust against obstructions and scattering.

3.

Results

3.1.

Highly Efficient Conversion of Microwaves to Ultrasound via a Split Ring Resonator

Similar to the PA effect, the TA signal generated by an electromagnetic (EM) absorber is proportional to the absorbed energy and its Grüneisen parameter, assuming the thermal and stress confinements are satisfied.29 The EM energy Qab absorbed by a volume of tissue depends on the EM properties of tissue and is described by Poynting’s relation of energy conservation:30

Eq. (1)

Qab=Vωμ0μrH·H*dV+Vωε0εrE·E*dV+VσcE·E*dV,
where the volume V of tissue has complex permittivity ε=ε0(εrjεr), complex permeability μ=μ0(μrjμr), and ionic conductivity σc. The subscript 0 marks the values of parameters of vacuum, and the subscript r stands for the values of parameters relative to that of vacuum. E is the electric field (V/m), H is the magnetic field (A/m), and ω is the frequency of the EM wave. These three terms on the right side of Eq. (1) are the power absorbed due to magnetic loss, dielectric polarization loss, and joule heating, respectively. It is clearly seen that the power absorbed will be significantly boosted if the local E and H can be enhanced.

Therefore, we attempted to use a resonant microwave antenna to generate a local hotspot of an electric field to boost the acoustic generation with a short microwave excitation pulse via the TA effect. Note that we focused on utilizing a local hotspot of an electric field as a first demonstration, and antenna designs with a local hotspot of a magnetic field and proper absorbing materials can be leveraged similarly. We first experimentally examined US generation from a graphite rod of different lengths placed in oil, given a 1.0-μs microwave excitation pulse of only 100-W peak power at 2.2 GHz [Fig. S1(a) and S1(b) in the Supplemental Material]. Notably, the signal is dramatically enhanced when the rod is at a certain length of 39  mm, with an intensity peak at 2.2 GHz corresponding to a microwave wavelength of 78  mm in oil [Fig. S1(c) and S1(d) in the Supplemental Material]. This observation suggests that such a graphite rod acts as a λ/2 dipole antenna, which concentrates the E field at its tips, showing that resonance can greatly improve the conversion efficiency of microwaves to US wave.

To realize highly efficient conversion of microwaves to US at submillimeter spatial precision, we chose a single SRR—a building unit for microwave metamaterials. The single split ring is a metallic ring with a small split placed in a medium. The inset in Fig. 1(a) is a photo of the ring used. The SRR can be generally modeled as an LC resonance circuit: an inductor L formed by the metallic ring and a capacitor C formed by the split gap as well as some surface capacitance.31 When the SRR resonates with the microwave excitation, a strong electric field is confined inside the capacitor, i.e., the ring gap, and a hotspot subsequently forms if there is microwave absorption by a nearby medium. Once given a short microwave excitation pulse of nanosecond to microsecond duration, the localized hotspot causes a transient local volumetric expansion, resulting in a US wave generation.

Fig. 1

Ultraefficient conversion of microwaves to ultrasound wave through the resonance effect in an SRR. (a) With a short microwave excitation pulse of its resonance frequency, the SRR confines the strong electric field at its gap and subsequently generates a transient thermal hotspot if any absorption by a nearby medium, which produces the ultrasound via TA effect. The inset shows an SRR made of copper as used in oil. (b) Simulated electric field intensity of the SRR used in oil on resonance. (c) Simulated electric field intensity at the gap (blue dotted line) and the pk2pk values of acoustic signal measured in experiments (red square line) over different excitation frequencies. (d) Normalized TA signal spectra of SRR bent from 0.2-mm diameter copper wire with lengths of 39 (red dots), 41 (green star), and 43 mm (blue square). The solid lines show their Gaussian fittings. (e) Comparison of the copper SRR (red) and two thin tubes filled with a solution of MWCNT plus saline (green) and DI water (blue). The signals from tubes are scaled 2000 times, whereas the copper SRR signal is not scaled.

AP_2_3_036006_f001.png

The first SRR tested is a machined copper ring placed in oil. It has a diameter of 12.7 mm, wire width of 0.8 mm, gap of 0.4 mm, and thickness of 0.2 mm. The oil is chosen as the medium as it has a small but nonzero microwave absorption and high-thermal expansion coefficient. Through COMSOL Multiphysics simulation with no absorption considered, the SRR was found to resonate at 2.27 GHz. The simulated intensity map of the E field in log scale on the SRR at resonance clearly shows a local hotspot in the ring gap [Fig. 1(b)]. When comparing the measured peak-to-peak (pk2pk) values of the normalized acoustic signal spectra to the simulated E field intensity from the gap [Fig. 1(c)], it is seen that the resonance peak from acoustic measurement matches the simulation result, whereas the acoustic measurement shows a broader full-width at half-maximum (FWHM) of 0.16 GHz than 0.07 GHz from simulation. It is understandable that the absorption effect generates heat and the acoustic wave broadens the resonance peak, as others have reported.32 To further confirm the resonance effect, we bent a copper wire of 0.2-mm diameter with different lengths of 39, 41, and 43 mm into a split ring with comparable gap sizes. With a longer length of copper wire bent into a ring, the inductance of the SRR increases and results in a lower resonance frequency. It is consistent with our experimental observations that the resonance frequency red shifts with longer ring perimeters [Fig. 1(d)].

Next, we compared the US signal generated by the copper SRR with that by DI water or MWCNTs mixed with a saline solution in a thin polyurethane tube. The tube length was designed to be 39 mm to match the circumference of the SRR. Acoustic signals from tubes and the SRR were recorded under the same experimental conditions. Due to the low and noisy signals from the tubes with a low-excitation peak-power of 100 W, the signals were averaged 8192 times and smoothed in postprocessing to obtain good SNR, whereas the signal from the SRR was only averaged 2 times and had an SNR of 160. For a clear head-to-head comparison, we scaled the signal from both tubes 2000 times and plotted them with the unscaled SRR signal at its resonance frequency [Fig. 1(e)]. It was observed that the copper SRR generated acoustic signal is more than three orders of magnitude higher than that from MWCNT, a commonly used TA imaging contrast agent.15,16 These data collectively show that the resonance in the SRR tremendously boosts the conversion efficiency of microwaves to US wave.

3.2.

Microwave-Thermal Resonance in SRR is Confirmed by Thermal Imaging

To confirm the thermal hotpot generated at the ring gap, we performed thermal imaging on the SRR with microwave excitation. First, we mounted the SRR on a thermal paper (Brother LB3635) that permanently darkens around 85 to qualitatively visualize the thermal hotpot when the SRR was embedded in a bulky oil medium with microwave excitation [Figs. 2(a) and 2(b)]. The microwave source was running at continuous mode and turned on for 250-ms period, and the dark spots were only formed at the ring gap [Fig. 2(c)]. The largest dark spot was formed with 2.27-GHz frequency, which is consistent with the resonance frequency measured by the acoustic detection in Fig. 1(c). This result qualitatively confirms the microwave-thermal resonance and the hotspot generation in the ring gap of the SRR.

Fig. 2

Thermal imaging of the hotspot in the SRR with continuous microwave excitation at on-, near-, and off-resonance frequencies. (a) Visualize the microwave-thermal resonance effect by the SRR with a thermal paper inside a bulky oil medium. (b) Photo of the SRR mounted on a thermal paper. (c) Dark spots imprinted on thermal paper with different microwave excitation frequencies. (d)–(f) Thermal images of the SRR on an oil–air interface before microwave excitation at 2.49 GHz (on-resonance), 2.35 GHz (near-resonance), and 2.00 GHz (off-resonance) frequency, respectively. (g)–(i) Thermal images after 250-ms microwave excitation in (d)–(f) scenarios. (j) Temporal temperature plot at the gap of the SRR in on-, near-, and off-resonance scenarios. The inset shows the setup of thermal imaging measurement. Scale bar: 5 mm.

AP_2_3_036006_f002.png

To quantitatively visualize the temperature change in the SRR under microwave illumination, we mounted the SRR on a thin plastic film, flipped the film, and floated it on a small oil container. By doing so, the ring was shallowly immersed in oil and the mid-infrared light radiated from the SRR was captured by a thermal camera. Note that this oil–air interface shifts the resonance of the SRR to a higher frequency, 2.49 GHz, compared with that in the case of a bulky oil medium, which was verified with our numerical simulation (Fig. S3 in the Supplemental Material). The microwave source was running at continuous mode and turned on for a 250-ms period. The thermal camera captures the heating and relaxing process with a frame rate of 30 Hz for 20 s. The experiments were done with different microwave frequencies: 2.00 GHz (off-resonance), 2.35 GHz (near-resonance), and 2.49 GHz (on-resonance).

Before the microwave heating, no hotspot or contrast showed up at time 0.0 s [Figs. 2(d)2(f)]. After the excitation was turned on for 250 ms, a hotpot was observed in the ring gap when the microwave frequency matched the resonance frequency of the SRR at time 0.4 s [Fig. 2(g)], while very weak contrast showed up at the gap with 2.0-GHz microwave excitation [Figs. 2(h) and 2(i)]. The dynamic heating process can be viewed in Videos S1–S3; see the Appendix. Figure 2(j) shows the temporal temperature profile inside the gap at all excitation frequencies. It shows that a temperature increase of 69.4 K was observed for 250-ms heating time at the ring gap when it was on-resonance, whereas the temperature rise was <0.3  K when the ring was off-resonance. Notably, if assuming a linear heating process inside the gap, the temperature rise is estimated to be <0.3  mK given a 1.0-μs microwave excitation to generate US through the TA effect.

3.3.

Visualization of Acoustic Wave Generation from the SRR

We constructed a TA imaging system to visually verify the US generation from the ring gap. A TA imaging system with a 128-channel transducer array (L7-4, ATL) was built for the experiments here. To match the frequency band of the transducer array, which is 4 to 7 MHz, we used a 0.1-μs microwave excitation pulse at 2.33 GHz. By doing so, a cross-sectional TA image (parallel to the xyplane) was acquired, then we translated the transducer array to obtain z stack images to obtain a 3-D profile of the acoustic emission from the SRR. The SRR was placed in the oil medium in two configurations with the magnetic field H always perpendicular to the ring plane: one is to measure the acoustic emission above the ring plane [Figs. 3(a)3(g)] and the other is to measure it in the ring plane [Figs. 3(h)3(j)]. Also we adjusted the delay between the excitation pulse and US detection to capture the dynamics of the acoustic field propagating out from the ring gap.

Fig. 3

TA imaging of ultrasound wave generation from SRR. (a)–(c) US, TA, and merged images of the SRR in oil when UST array was placed above the SRR (configuration 1), as indicated by the top left image. (d) Cross-sectional TA images right above the ring gap in configuration 1. (e)–(g) US and TA merged images in 3-D presentation with 0, 4, and 8  μs delay between US detection and microwave excitation. (h) US images of SRR in configuration 2 as shown in bottom left image. (i) Corresponding TA image; (j) merged image of (h) and (i). Scale bar: 5 mm.

AP_2_3_036006_f003.png

Figure 3(a) shows the US image of the SRR in the xz plane, which was mounted on a thin narrow plastic stripe through its center in oil. The corresponding TA image at the xy plane at time delay 0 is shown in Fig. 3(b). When merged with the US image [Fig. 3(c)], the origin of acoustic generation was confirmed to be the ring gap. Figure 3(d) shows the cross-sectional view of the TA image right above the gap of the SRR. When plotting the line profiles across the center of the gap, FWHMs of 0.80 and 0.49 mm were measured in the lateral and axial directions, respectively. These dimensions are close to the size of the gap (lateral: 0.4 mm and axial: 0.3 mm), considering the low spatial resolution by the low-frequency transducer array used. By tuning the delay of the US detection relative to the microwave excitation pulse, the acoustic propagation process was visualized. Figures 3(e)3(g) show the TA signal in 3D at a time delay of 0, 4, and 8  μs, respectively. Videos S4 and S5 (linked in the Appendix) show the dynamic process of acoustic generation from the ring gap. Next, the acoustic emission in the ring plane was measured by reorienting the ring as shown in the bottom left of Fig. 3. By merging the US [Fig. 3(h)] and TA [Fig. 3(i)] images, the TA signals were also found from the gap [Fig. 3(j)], proving that there is an acoustic emission in the ring plane. Additionally, Fig. 3(i) shows two small hotspots in the TA image, which correspond to two flat ends of the gap and agree with the simulation in Fig. 1(b). We also oriented the US probe at an oblique angle to the ring plane and obtained TA signals from 0 deg to 60 deg except 20 deg (Fig. S4 in the Supplemental Material). Collectively, these data provide direct evidence of acoustic wave generation from the two adjacent hotspots in the SRR gap following pulsed microwave excitation.

3.4.

Arbitrary Frequency Multiplexed Acoustic Emission by Pulse Wave Modulation

While using microwave excitation pulses of different durations can change the TA signal intensity and temporal profile33 (Figs. S5–S7 in the Supplemental Material), we leverage the PWM in microwave electronics to precisely control the frequency of emitted US. We employed a microwave pulse train as excitation. As shown in Fig. 4(a), a pulse train of N=10 cycles at a tone frequency of 1/T (T is the interpulse interval) with a 50% duty cycle was applied to modulate the 2.27-GHz microwaves. Each pulse excites a TA wave. Thus N=10 pulses induced the same number of TA waves temporally separated at the same interval, producing an acoustic emission at the given tone frequency of 1/T. We used a PZT transducer of 5-MHz center frequency to detect the generated acoustic signal and recorded the acoustic signal with the interpulse interval T scanned from 0.4 to 1.5  μs. The left column of Fig. 4(b) shows the representative measured acoustic signals with selected T of 0.4, 1.0, and 1.2  μs. Ten small bipolar acoustic signals were clearly resolved at different periods, indicating different acoustic frequencies. After Fourier transformation, their radiofrequency (RF) spectra revealed that peak frequencies are at 2.504, 1.002, and 0.834 MHz, respectively [right column of Fig. 4(b)], matching well with the tone frequency of 1/T applied in the pulse modulation inputs. Figure 4(c) shows the different peak frequencies identified with different pulse intervals T from 0.4 to 1.5  μs, which agreed well with the theoretical peak frequencies given by 1/T (red solid line). Additionally, the emitted acoustic signal by PWM on the microwave excitation has a narrow bandwidth. Specifically, 0.11 MHz bandwidth was achieved at 0.67 MHz peak frequency using a PWM with a T of 1.5  μs.

Fig. 4

Multiplexed acoustic emission of arbitrary frequencies by PWM on the microwave. (a) Measurement setup. The inset shows a schematic of the PWM on the microwave excitation pulses. (b) Measured TA signals (left) and their RF spectra (right) after Fourier transformation using PWM with T=0.4, 1.0, and 1.2  μs, respectively. (c) Peak frequencies in acoustic emission using PWM of different pulse periods T (black square dots) and the theoretical values determined by 1/T (red solid line). (d), (e) PWM signals with two arbitrary tone frequencies at 0.63 and 1.67 MHz applied, their corresponding TA signals and RF spectra, respectively (from left to right). (f) Result of frequency multiplex of PWM in (d) and (e). (g) Result of a temporal multiplex of two arbitrary frequencies at 0.55 and 1.30 MHz. (h) Result with a reverse temporal sequence in (g).

AP_2_3_036006_f004.png

Moreover, using a pulse generator that can multiplex PWM of different frequencies on the microwave excitation, arbitrary combinations of desired frequencies are achieved. When using two modulation frequencies of 0.63 and 1.67 MHz on the PWM, we obtained their PWM signals on microwave excitation, generated TA signals, and normalized corresponding RF spectra after Fourier transformation, as shown in Figs. 4(d) and 4(e). Using the multiplex function of the pulse generator used (9200, Quantum Composers), an “OR” operation was conducted to generate a new PWM. The “OR” operation is equivalent to the summation of the multiplication and subtraction of PWM using 0.63- and 1.67-MHz frequencies, and thus a frequency multiplex of 0.63 and 1.67 MHz was expected in the generated TA signal [mid column in Fig. 4(f)]. Its RF spectrum indeed shows 0.63- and 1.67-MHz frequency components and their differential frequency component at 1.04 MHz and summation frequency at 2.30 MHz, proving frequency multiplexed acoustic emission by the SRR. Furthermore, using a PWM comprised of two tone bursts of two different frequencies separated in time, as shown in Figs. 4(g) and 4(h), a temporally multiplexed emission at two arbitrary frequencies of 0.55 and 1.30 MHz is obtained with the desired sequence.

3.5.

SRR as a Wireless and Battery-Free Ultrasound Emitter

As an initial proof-of-concept of a wireless, battery-free, US emitter, we packaged the SRR in a small thin plastic bag filled with a small volume of canola oil [Fig. 5(a)]. The SRR was placed under a breast biopsy US training phantom. Using a microwave excitation of 1-μs pulse at 2.33 GHz with a 1-kHz repetition rate, we successfully received the US signal by placing the transducer above the phantom. Figure 5(b) shows the detected US signal averaged 64 times, and the SNR was measured to be about 30. The distance of the ring antenna to the transducer was estimated to be 53 mm, which is close to the thickness of the phantom. When the waveguide was moved away from the breast phantom, a decrease of the pk2pk values of the acoustic signal was observed [Fig. 5(c)], but still an acoustic signal of a fair intensity can be obtained at a distance of 150 mm. Next, we placed a card box and a box full of gloves between the waveguide and breast phantom; the signal intensity did not decrease as expected because the card box and glove box are transparent to microwaves [Figs. 5(d) and 5(e)]. Moreover, the acoustic signal slightly increased when the glove box was inserted. It is also understandable that the glove box has rubber gloves, which has a dielectric constant to the silicone breast phantom and acted as a matching layer to couple more microwave energy into the phantom. Thus by placing the SRR in a small volume of oil, it can act as a wireless, battery-free, US emitter with a pulsed microwave excitation of only 10-mW average power.

Fig. 5

Proof-of-concept demonstration of the SRR as a wireless, battery-free, US emitter. (a) The SRR was packaged in a thin plastic bag with small volume of oil and placed under a breast biopsy US training model. (b) Measured acoustic signal at the top of the breast biopsy phantom. (c) The pk2pk values of the measured acoustic signal when the waveguide was moved at different distances away from the phantom. (d) and (e) The acoustic signal measured before and after a card box or a box full of rubber gloves was inserted between the waveguide and phantom, respectively.

AP_2_3_036006_f005.png

4.

Discussion

In this work, we harnessed an SRR to efficiently collect and convert microwave energy into heat and then US wave for potential biomedical applications in deep tissue. Compared with the commonly used TA imaging contrast agent, such as MWCNT, the SRR achieved over three orders higher conversion efficiency in generating US wave. With an estimated energy fluence as low as 1.7  μJ/cm2 (pulse energy of 100  μJ over 60  cm2 illumination area), the SRR generated strong ultrasonic signal at a MHz frequency of over 100 SNR without averaging. A similar resonance mechanism can also be transferred to optical resonators, such as a microring and whispering gallery mode resonator,34,35 to improve the conversion efficiency of light into US.

Using thermal and TA imaging, we experimentally confirmed that the strongly enhanced electrical field was confined at the submillimeter-sized gap of the SRR, demonstrating the capability of the SRR to confine energy to the submillimeter scale (EM λ0/100) to achieve active biomodulation with high spatial resolution. In thermal imaging experiments, a temperature increase of over 69 K was observed when the ring was shallowly submerged in the oil and excited with on-resonance microwaves for a 250-ms period, whereas it was only 0.3 K when tuned to off-resonance excitation. Such an efficient submillimeter thermal hotpot generated from the SRR can enable various deep tissue thermal modulation devices and applications with high precision, such as wireless thermal neural modulation using very short pulse excitation, which only requires a local temperature increase of over 5 K.36

This work presents the first use of the SRR for resonance to enhance the collection and conversion of microwaves to US wave for potential active biomodulation use. Microwave resonators of other geometries37 or periodic arrays38 can be tailored for detailed applications. We showed an example using the SRR as a wireless, battery-free, US emitter under a breast biopsy training phantom. The SRR can also be applied externally as a battery-free US emitter for various wearable US applications, such as wireless US modulation for pain management.39 Also it provides the foundation to develop a wireless TA guide for lesion localization in soft tissue for precise removal, in such contexts as breast conserving surgery.

Finally, with PWM on the microwave excitation, we have demonstrated an advanced US source with precisely controlled emission frequency and arbitrary frequency multiplex capacity. This capacity is beyond the reach of current PZT or PA-based emitters. Though efforts have been made using continuous wave (CW) light to generate US signal of a desired frequency to be detected by a lock-in, the acoustic pressure by CW excitation is approximately six orders of magnitude lower than that by pulsed excitation when both methods reach the ANSI standard limits.29 Alternatively, nanosecond pulse trains of a desired tone burst can excite acoustic pulses that follow the given tone. Nevertheless, a nanosecond pulsed laser can hardly reach over a few MHz repetition rates while having μJ pulse energy for the generation of acoustic signals of fair intensities for PA imaging.40 On the contrary, the PWM on microwave excitation can be simply realized with a low-cost pulse generator. Thus the versatile acoustic emission by the SRR with PWM provides a new tool for researchers to scrutinize the frequency response of cells and tissues to US, which may significantly advance our understanding of US-mediated biomodulation.

5.

Appendix

The following supplemental videos are provided:

1. Thermal imaging of SRR with on-resonance (2.49 GHz) excitation in the oil–air interface (Video S1, avi, 1691 kB [URL: https://doi.org/10.1117/1.AP.2.3.036006.1]).

2. Thermal imaging of SRR with near-resonance (2.35 GHz) excitation in the oil-air interface (Video S2, avi, 885 kB [URL: https://doi.org/10.1117/1.AP.2.3.036006.2]).

3. Thermal imaging of SRR with off-resonance (2.00 GHz) excitation in the oil-air interface (Video S3, avi, 342 kB [URL: https://doi.org/10.1117/1.AP.2.3.036006.3]).

4. TA imaging of US propagating out from the SRR gap (Video S4, avi, 93 kB [URL: https://doi.org/10.1117/1.AP.2.3.036006.4]).

5. Raw US data (RF data) of US propagating out from the SRR gap (Video S5, avi, 1712 kB [URL: https://doi.org/10.1117/1.AP.2.3.036006.5]).

Acknowledgments

The authors would like to thank Dr. Thomas Bifano for his kindness in lending us the thermal imaging camera. We also want to express our gratitude to Dr. Pu Wang for his constructive discussion in the preliminary experimental design. The project was supported by an Ignition Award from Boston University to J. X. C. The authors declare no competing interests.

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Biography

Lu Lan is currently a research scientist at Boston University. He received his BSc degree from South China University of Technology, Guangzhou, China, in 2011 and MEng degree in optical engineering at Zhejiang University, Hangzhou, China, in 2014. He graduated from Boston University with a PhD in biomedical engineering, where his research is focused on vibrational photoacoustic imaging and tomography, and translation of biophotonics devices into clinical use.

Ji-Xin Cheng received his PhD in chemistry from the University of Science and Technology of China, Hefei, China, in 1998. He is a Moustakas Chair professor in photonics and optoelectronics at Boston University. His research focuses on the development of advanced chemical imaging tools for biology science and materials and translation of biophotonic devices for medical applications.

Biographies of the other authors are not available.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Lu Lan, Yueming Li, Tiffany Yang-Tran, Ying Jiang, Yingchun Cao, and Ji-Xin Cheng "Ultraefficient thermoacoustic conversion through a split ring resonator," Advanced Photonics 2(3), 036006 (3 June 2020). https://doi.org/10.1117/1.AP.2.3.036006
Received: 13 March 2020; Accepted: 27 April 2020; Published: 3 June 2020
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KEYWORDS
Microwave radiation

Acoustics

Split ring resonators

Modulation

Transducers

Signal generators

Acoustic emission

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