Non-contact ultrasound excitation based on the photoacoustic effect using short optical pulses has been widely used for biomedical and industrial inspections. However, generating and detecting photoacoustic signals in water or aqueous samples requires careful choice of the excitation wavelength. Here, we show that continuous-wave (CW) ultrasound can be directly generated in aqueous samples by irradiating them with the CW sub-terahertz waves modulated at acoustic frequencies, even when the stress confinement condition is not satisfied. The ultrasound generated at resonance can be detected even in the air using a microphone. The sub-terahertz waves exhibit a water absorption coefficient akin to peak near-infrared wavelengths while offering transmittance through diverse materials. Leveraging recent advances in high-frequency electronics, we develop a compact experimental system with the potential for further miniaturization. To demonstrate the potential of the proposed method, we present proof-of-concept applications of bulk modulus measurement of gelatin gels and in vivo anatomical imaging of human hands.

The photoacoustic effect is a phenomenon in which acoustic waves are generated in a sample as a result of thermal expansion involved by light irradiation.1–4 Since acoustic waves can generally reach deep inside the sample than light, the effect is useful for biomedical and industrial applications such as non-invasive imaging of human bodies5–7 and non-destructive inspection of subsurface structures.8–10 To use the photoacoustic effect in practical applications, the choice of wavelength and exposure time is of fundamental importance.11–16 Despite the importance of water in most applications, photoacoustic signal generation in water has been challenging due to the lack of water-absorptive wavelength sources. A few approaches have tackled photoacoustic signal generation in water using optical parametric oscillation around 100017 and 1450 nm,18 Q-switched pulse generation at 1540 nm,19 and difference frequency generation at 5.1 μm.20 An all-fiber hybrid optical parametric oscillator at 1930 nm, corresponding to the O–H bond vibrational absorption peak, has recently been developed.21 Thus, ultrasound generated in aqueous samples can be used for imaging, which can be performed even in a fully non-contact manner when combined with optical vibrometry.18,19

Recently, it has also been demonstrated that an intense terahertz pulse generated by a free-electron laser can directly generate an acoustic pulse in water based on its high attenuation in water.22 While the use of terahertz waves offers attenuation in water comparable to that of the mid-infrared wavelengths,23 it also provides an additional advantage in terms of transmittance through various materials. For example, the attenuation constant of terahertz waves in PLA (polylactic acid), a representative material frequently used for 3D printing, is around 2 cm−1 at 0.2 THz24 while it is above 40 cm−1 for infrared around 130025 and 1500 nm.26 Another example can be seen in terahertz body scanning based on wave delivery under clothing.27 Therefore, the terahertz waves have the potential of see-through photoacoustic excitation in aqueous samples, which is relevant for practical ultrasound applications ranging from in vivo imaging to food and pharmaceutical inspections. It should also be mentioned that the use of microwaves has been investigated as a means of ultrasound excitation as well, referred to as a thermoacoustic effect.28–33 While the microwaves can reach inside aqueous samples deeper, the relatively low attenuation constant limits the generation of high-frequency ultrasound. Since the free-electron laser generates terahertz pulses much stronger than using conventional photoconductive switching or parametric wavelength conversion34 and short enough to satisfy the stress confinement condition, it is suited for acoustic pulse generation in aqueous samples.35 However, the free-electron laser necessitates a large-scale facility requiring a dedicated building, thus significantly limiting the handy use of the photoacoustic effect for practical applications.

Here, we show that periodically modulated continuous-wave (CW) sub-terahertz waves can directly generate CW ultrasound in aqueous samples [Fig. 1(a)], which at resonance is detectable even in the air with a commercially available microphone. Although CW photoacoustic approaches have generally been considered in the optical regime,36–46 its application to water is challenging due to the failure of the stress confinement condition. The sub-terahertz waves around 0.1 THz are absorbed by water with a high attenuation constant of α ∼ 70 cm−1, which is comparable to that of the peak near-infrared wavelengths. Therefore, simple periodic modulation can generate CW ultrasound even if the stress confinement condition is unsatisfied. The proposed method can attain a high signal-to-noise ratio based on lock-in detection while minimizing system complexity and reducing electromagnetic and acoustic peak powers. It should be noted that the recent advancement of high-frequency electronics in the sub-terahertz regime47–49 has allowed us to generate, modulate, and amplify signals around 0.1 THz using a compact electronics system. By leveraging such advancements and by hybridizing waveguide-based and lens-based approaches, we develop an experimental system no larger than a desktop scale with the potential for further scale-down [Figs. 1(b) and 1(c)]. To our knowledge, this is the first demonstration of an all-electronics system that generates ultrasound using the sub-terahertz irradiation frequency of around 0.1 THz. To demonstrate the great possibility opened by the proposed method, we show proof-of-concept applications of bulk modulus measurement and in vivo anatomical imaging. Ultrasound imaging is a versatile non-invasive method to inspect the inside of a human body. In recent years, its applications are expanding beyond the medical field, for example, gesture recognition from forearm muscle movements,50 silent voice input from pharyngeal movements,51 and motor intentions from subcortical blood flow changes.52 While conventional ultrasound imaging requires transducers in contact with the skin for acoustic impedance matching, sub-terahertz irradiation enables ultrasound transmission in a non-contact manner. In contrast to conventional photoacoustic imaging, in which acoustic waves are generated from specific optical absorbers like blood vessels, the proposed method enables the direct generation of in vivo ultrasound under the skin.

FIG. 1.

(a) Comparison of photoacoustic effects based on infrared and sub-terahertz waves assuming in vivo applications. The former generates ultrasound typically from blood (infrared absorber) while the latter directly excites ultrasound in water under the skin (sub-terahertz absorber). (b) Schematic and photograph of the experimental setup to generate and detect continuous acoustic waves generated by sub-terahertz wave irradiation. (c) Close-up side view around the sample container. Sub-terahertz emission from the amplifier is focused on the container. The microphone detects the generated acoustic pressure in a non-contact manner.

FIG. 1.

(a) Comparison of photoacoustic effects based on infrared and sub-terahertz waves assuming in vivo applications. The former generates ultrasound typically from blood (infrared absorber) while the latter directly excites ultrasound in water under the skin (sub-terahertz absorber). (b) Schematic and photograph of the experimental setup to generate and detect continuous acoustic waves generated by sub-terahertz wave irradiation. (c) Close-up side view around the sample container. Sub-terahertz emission from the amplifier is focused on the container. The microphone detects the generated acoustic pressure in a non-contact manner.

Close modal
To confirm and analyze the CW sub-terahertz photoacoustic effect in water, we build an experimental setup shown in Fig. 1(b). It is based on microwave frequency multiplication that generates 93.0 GHz. Due to the significant water absorption around 0.1 THz,23 the exact choice of the irradiation frequency is not very critical, and here we have prioritized the availability of components, such as power amplifiers and isolators compatible with the WR10 waveguide standard (75–110 GHz), for which the maximum output is obtained at 93 GHz in our study. We first generate a microwave signal of 15.58 GHz using a frequency synthesizer (Frequency Synthesizer, Virginia Diodes, Inc.), which uses a direct digital synthesizer to phase lock a yttrium iron garnet (YIG) oscillator to a 10 MHz crystal oscillator. The microwave signal is then multiplied by 6 times to 93.0 GHz using an amplifier-multiplier chain (AMC-I WR10, Virginia Diodes, Inc.) The signal is modulated in the range from 20 to 200 kHz using a PIN diode modulator (Ultrafast modulator, Terasense Group, Inc.) with a function generator (WF1974, NF Corporation). The modulated signal is then amplified by about 30 dB with a GaN power amplifier (AMP-10-41300, Millitech). We estimate the unmodulated amplified power to be 3.4 W at 93.0 GHz [supplementary material, Fig. S1(a)]. To prevent the reflection from returning back to the amplifier, we attach an isolator (JFD-10, Millitech) at the output port of the amplifier. The output from the power amplifier is radiated into free-space via a horn antenna incorporating a THz lens (Tsurupica, Pax Co., Ltd.) with a focal length of 50 mm at the aperture of the horn antenna [Fig. 1(c)]. The average 1/e beamwidth of the focus is r = 5.7 mm (radius) as shown in Fig. S1 in the supplementary material. At the focal point, we place a rectangular sample container made of PLA with external side lengths of Lx,Ly,Lz=22.2,22.2,37.5 mm, in which a cavity of 20 × 20 × 35 mm3 is defined. We fill the container with water and then shield it with a lid. The water is kept at a constant temperature during the measurement by immersing the bottom of the container in a temperature-controlled water bath (supplementary material, Fig. S3). Due to the sub-terahertz transparency of the PLA (supplementary material, Fig. S4), the impinging sub-terahertz wave is delivered to the water surface through the container wall to generate acoustic waves in water. Since the acoustic impedance of PLA is 1.4 × 106 Pa s/m54 and is close to that of water 1.5 × 106 Pa s/m, the acoustic reflection mainly takes place between the external container wall and the surrounding free-space, rather than between the water and the internal container wall. In other words, the water is virtually shaped in the same dimension as the external dimension of the container. Therefore, its acoustic resonance frequency flmn can be estimated as
flmn=c2lLx2+mLy2+nLz2,
(1)
where c is the sound speed in water, and l, m, and n are modal indices in each direction. When the sample is irradiated with the sub-terahertz wave in the x-direction, an acoustic wave with a resonance frequency governed by Eq. (1) is to be generated. To capture the acoustic wave without perturbing the resonance, we place a microphone with a sensitivity of 1.31 mPa/V (Type 4157N, ACO Co., Ltd.) in free-space behind the sample as shown in Fig. 1(c). The microphone signal is amplified by 20 dB with a preamplifier (Type 5006, ACO Co., Ltd.) and connected to a lock-in amplifier (LI5650, NF Corporation). The position of the microphone is controlled with a linear stage (OSMS26-100, SIGMAKOKI Co., Ltd.). Figure 2(a) shows the acoustic pressure measured with the microphone when its tip is positioned at 1.4 mm away from the container while the water temperature is kept at 37.5 °C under the room temperature of 24 °C. Two resonance frequencies associated with l,m,n=1,1,1 and 2,1,1 are observed at 52.8 and 79.5 kHz in accordance with Eq. (1) with Q-factors of 307 and 298, respectively (blue circles). When we replace the sample with another one with Lx = 27.2 mm, the resonance frequencies are accordingly lowered to 49.2 and 68.9 kHz (red diamonds). As a control experiment, we confirm that no acoustic signal is observed (gray circles) when we intercept the irradiation by inserting an aluminum foil between the lens and the container. We also map out the 2D field distribution for the sample with Lx = 22.2 mm as shown in Fig. 2(b), which is acquired by laterally translating the microphone. The higher field concentration at the center at 52.8 kHz clearly demonstrates the fundamental resonance mode. Meanwhile, we also note that the detected acoustic pressure shows a periodic change to the distance between the container wall and the tip of the microphone as shown in Fig. 2(c). The average periods of 3.3 mm for the fundamental mode (yellow circles) and 2.2 mm for the second mode (green diamonds) correspond to the half-wavelengths in free-space at the respective resonance frequencies. Therefore, this periodic behavior is attributed to standing waves, i.e., multiple acoustic reflections between the wall and the microphone. It should be noted that although 0 mm of the horizontal axis means that the tip of the microphone is in contact with the wall, the sensor diaphragm is located 1.9 mm deeper than the tip.
FIG. 2.

(a) Photoacoustically generated acoustic pressure for a 37.5 °C water sample acquired with the microphone. With the standard container with Lx = Ly = 22.2 mm, the fundamental resonance is observed at around 52.8 kHz (blue circles). With another container with Lx = 27.2 mm and Ly = 22.2 mm, the fundamental mode is shifted to 49.2 kHz (red diamonds). When the irradiation is intercepted, no signal is observed (gray circles). (b) 2D field distribution of the acoustic pressure in the standard container with Lx = Ly = 22.2 mm. (c) The spatial variation of the acoustic pressure measured as a function of the distance between the microphone and the container.

FIG. 2.

(a) Photoacoustically generated acoustic pressure for a 37.5 °C water sample acquired with the microphone. With the standard container with Lx = Ly = 22.2 mm, the fundamental resonance is observed at around 52.8 kHz (blue circles). With another container with Lx = 27.2 mm and Ly = 22.2 mm, the fundamental mode is shifted to 49.2 kHz (red diamonds). When the irradiation is intercepted, no signal is observed (gray circles). (b) 2D field distribution of the acoustic pressure in the standard container with Lx = Ly = 22.2 mm. (c) The spatial variation of the acoustic pressure measured as a function of the distance between the microphone and the container.

Close modal
We next compare the experimentally detected free-space acoustic pressure with a theoretical estimation. The photoacoustic pressure inside the water can be calculated as follows assuming a soft-boundary condition,2 in which the sample is surrounded by a medium (free-space) with much lower acoustic impedance,
ps(ω)cosωt=βCpjωαα2+ω2/c2Tc1RwI1cosωt,
(2)
where t is the time, ω is the angular frequency of the modulation, I1 is the power density of the modulated sub-terahertz irradiation [supplementary material, Eq. (S2)], Tc is the power transmittance through the wall of the container, Rw is the power reflectance from the water, and α, β, c, and Cp are the absorption coefficient, the thermal expansion coefficient, the sound speed, and the heat capacity of the sample, respectively. According to Eq. (2), the acoustic pressure is proportional to the irradiation power density, and it also increases with the frequency at low frequencies and peaks at ω = αc. Thus, the use of sub-terahertz irradiation, for which α is several orders higher than for visible, near-infrared light, and microwaves, enables direct ultrasound generation in water (supplementary material, Fig. S5) in addition to through-wall excitation for dielectric walls. When an acoustic wave is resonating in the container, the amounts of the acoustic power pumped by the irradiation and that dissipated in free-space in each cycle become equal. Considering the field continuity in and outside the walls and that the wall area facing the microphone (8.3 cm2) is 19% of the entire walls (43 cm2), the free-field acoustic pressure impinging on the microphone may be estimated as 0.19ps(ω), which is calculated to be 0.19ps(ω1)=2.7 mPa for the fundamental mode and 0.19ps(ω2)=4.1 mPa for the second mode when ω1 = 3.3 × 105 rad/s (52.8 kHz), ω2 = 5.0 × 105 rad/s (79.5 kHz), I1 = 0.62 W/cm2, Tc = 0.61 (supplementary material, Fig. S4), Rw = 0.40 (assuming a water refractive index of n = 3.4 − 1.8j at 0.1 THz55), α = 70 cm−156, β = 2.4 × 10−4 K−157  c = 1.52 × 103 m/s at 37.5 °C, and CP = 4.18 J/g K. This calculation is consistent with the observed signal levels in Fig. 2(c). Thus, we confirm that acoustic signals can be generated in water based on sub-terahertz irradiation without resorting to additional absorbers. It is worth mentioning that the acoustic pressure at the inner center of the container is much higher being multiplied by the radiative Q-factor of the resonator.

We next investigate the temperature dependence of the sound speed for the generated acoustic waves. Figure 3(a) shows the frequency response of the acoustic pressure acquired at different water temperatures. The circles and error bars show the averages and standard errors of ten measurements at each temperature, respectively, while the solid lines are the result of Lorentzian fitting. We observe that the resonance frequency increases as the temperature increases in accordance with the sound speed acceleration. We notice that the peak height also varies with the resonance frequency shift. This is probably attributed to the effect of the standing waves [Fig. 2(c)]; the apparent signal level measured at a fixed microphone position changes when the resonance frequency changes. By substituting the experimental resonance frequencies into Eq. (1), we estimate the sound speed for each temperature. Figure 3(b) shows a comparison of the experimental values (circles) with Greenspan’s empirical values53 (solid line). The vertical error bars are derived by the 3 dB widths of the spectral peaks in Fig. 3(a), while the horizontal error bars are derived by the standard errors of the sample temperatures. The agreement not only validates the modeling based on Eq. (1) but also demonstrates a potential of non-contact measurement applications as discussed in the section “Bulk modulus measurement of gelatin gels.”

FIG. 3.

(a) Spectral shift of the fundamental mode for water samples at different temperatures. The results are shown after averaging ten measurements. The circles and error bars show the averages and standard errors of the ten measurements at each temperature, respectively, while the solid lines show Lorentzian fitting. (b) Comparison of the experimental sound speed (circles) estimated by substituting the resonance frequencies into Eq. (1) and Greenspan’s empirical values53 (solid line). The error bars in the vertical axis are derived by the half-width of the spectrum in (a) while those in the horizontal axis are derived by the standard errors of the sample temperatures.

FIG. 3.

(a) Spectral shift of the fundamental mode for water samples at different temperatures. The results are shown after averaging ten measurements. The circles and error bars show the averages and standard errors of the ten measurements at each temperature, respectively, while the solid lines show Lorentzian fitting. (b) Comparison of the experimental sound speed (circles) estimated by substituting the resonance frequencies into Eq. (1) and Greenspan’s empirical values53 (solid line). The error bars in the vertical axis are derived by the half-width of the spectrum in (a) while those in the horizontal axis are derived by the standard errors of the sample temperatures.

Close modal

This section presents a proof of concept of non-contact bulk modulus measurement based on the sub-terahertz photoacoustic effect. As a sample under test, we prepare gelatin gels used frequently as a model of human tissues.60–62 For sample preparation, we dissolve granular gelatin (A-U α, Jellice Co., Ltd.) in water with different concentrations of 3%, 6%, 9%, 12%, and 15% at 50 °C and cooling it in a refrigerator at 4 °C for 10 h. We then leave the samples at room temperature until their temperature reaches 24 °C. Similar to the section “Non-contact generation and detection of ultrasound in water,” we use the microphone to detect acoustic pressures generated from the gel samples with different gelatin concentrations formed in the same container, i.e., Lx,Ly,Lz=22.2,22.2,37.5 mm. The results are shown in Fig. 4(a). The circles and the error bars are the averages and standard errors of ten measurements at each concentration, respectively, while the solid lines are the result of Lorentzian fitting. We observe that the higher gelatin concentration leads to a higher resonance frequency, i.e., the faster sound speed. Figure 4(b) shows the comparison of the sound speeds derived from our experiment (red circles) and literature58,59 (blue triangles and gray diamonds) as a function of the gelatin concentration. The error bars are calculated from the 3 dB width of the spectra in Fig. 4(a). The increasing trend of the sound speed to the gelatin concentration is common for all the cases, confirming the consistency between the experimental result and the literature. Considering the high water content, the bulk modulus of the gel, κ, can be estimated as κ = ρc2, where ρ is the density63 as summarized in Fig. 4(c). Thus, the proposed method enables a fully non-contact estimation of the bulk modulus of a sample. The ability to inspect the mechanical property of samples such as food and pharmaceutical products without touching them will be important for hygienic and non-destructive inspection.

FIG. 4.

Non-contact generation and detection of acoustic resonance in gelatin gel samples when irradiated with sub-terahertz waves. (a) Shift of the fundamental mode for different concentrations. The circles and the error bars indicate the averages and standard errors of ten measurements at each concentration, respectively, while the solid lines show Lorentzian fitting. (b) Comparison of the sound speeds between our experiment and literature.58,59 (c) Calculated bulk modulus of the gels using the experimental sound speed in (b).

FIG. 4.

Non-contact generation and detection of acoustic resonance in gelatin gel samples when irradiated with sub-terahertz waves. (a) Shift of the fundamental mode for different concentrations. The circles and the error bars indicate the averages and standard errors of ten measurements at each concentration, respectively, while the solid lines show Lorentzian fitting. (b) Comparison of the sound speeds between our experiment and literature.58,59 (c) Calculated bulk modulus of the gels using the experimental sound speed in (b).

Close modal

In this section, we show a proof of concept of in vivo anatomical imaging using ultrasound, which is generated directly under the human skin irradiated with sub-terahertz waves. We use this ultrasound to line scan a hand by translating the sub-terahertz irradiation spot. In this study, we use a hydrophone in contact with the skin as a receiver instead of the microphone for the sake of better impedance matching, resulting in a higher signal-to-noise ratio. As a result, the imaging system is not entirely non-contact. However, as no mechanical contact is required for the transmitter side, transmission imaging can be easily performed using a simple configuration with only one contact point for the receiver side. This stands in contrast to conventional transmission imaging, which requires two contact points to sandwich the object.

To irradiate the human skin with sub-terahertz waves, we follow the Radio Radiation Protection Guidelines (RRPG), which specifies the maximum permissible exposure (MPE) of 10 mW/cm2 (6 min average) for partial body absorption for frequencies from 30 to 300 GHz under a controlled environment.64, Figure 5(a) shows the experimental setup to line scan a hand. The sub-terahertz output from the power amplifier is focused on the dorsal side of the hand with a 1/e beamwidth of 3.6 mm (radius) at the focal length of 25 mm (supplementary material, Fig. S2). To improve the lateral resolution, we use a double lens system composed of two plano-convex lenses, which forms a sub-terahertz focus with a 1/e beamwidth of 3.6 mm (radius) at the focal length of 25 mm (supplementary material, Fig. S2). We then laterally translate the hand fixed on a jig attached to an automated liner stage at a step of 1.5 mm while the transmitter and receiver (hydrophone) are fixed. During translation, the palm smoothly slides on the hydrophone, which is in contact with ultrasound gel. The hydrophone is connected to the lock-in amplifier. At each measurement point, we sweep the modulation frequency from 20 to 200 kHz at an interval of 9 kHz. At each frequency, we emit and pause the sub-terahertz waves for 0.335 s each. When the irradiation spot is translated with a step of 1.5 mm for a line scan on the skin, each point experiences five times irradiation processes due to the spatial overlap as estimated by the ratio of the spot diameter and the translation step. Under these conditions, we set the duty ratio to be 7.2% resulting in the average irradiation power density of 9.1 mW/cm2 [supplementary material, Eq. (S6)]. The data acquisition time for each subject is about 20 min. The experimental protocol has been approved by the Research Ethics Committee of the University of Tokyo 22-22. Four subjects including two males and females in their 20s participated in the study. Figure 5(b) shows the hands of the four subjects. Figure 5(c) shows time-domain representations of the scan results, in which the amplitude of the inverse Fourier transform of the frequency-domain acoustic signals is represented. The horizontal and vertical axes indicate the position and propagation time, respectively. The images reveal the distribution of muscles and phalanges, which facilitate and impede ultrasound propagation due to the contrast of the lower and higher acoustic impedances, respectively. The ultrasound first appears at around t0 ≃ 16 µs, which is consistent with the propagation time through the thickness of the hand. The temporal profiles exhibit a cyclic pattern occurring at ∼11 µs intervals across all subjects. We attribute this to the weak resonant response of the hydrophone used in this study, which occurs around 90 and 190 kHz.65 Since the time-domain signal thus includes two major oscillatory signals at those frequencies, its absolute value will involve the apparent difference frequency of 100 kHz, corresponding to the cyclic pattern of 10 µs. Such an artifact could be suppressed by implementing a filter on the receiver side or pre-emphasis on the transmitter side. The temporal resolution of the frequency-domain acoustic imaging is governed by the bandwidth, similar to swept-source optical coherence tomography.66 Although we have used frequencies below 200 kHz in this study due to the detectable range of the hydrophone and the lock-in amplifier, the generation of higher acoustic frequencies up to the MHz range will be possible simply by increasing the modulation frequency without hardware change (supplementary material, Fig. S5). Meanwhile, the lateral resolution of our photoacoustic imaging is governed by the greater of the two parameters, the acoustic wavelength and the irradiation spot size. Considering the sound speed in the water, the acoustic wavelength at f MHz is 1.5/f mm, where f is 0.2 in this study. In this case, the irradiation wavelength of 3 mm (0.1 THz) is smaller and the lateral resolution does not improve even if the irradiation frequency is increased. For higher acoustic frequencies when f > 0.5, using sub-terahertz waves with higher frequencies can improve lateral resolution although generating high-power waves at higher frequencies becomes more challenging. Yet, considering the high degree of freedom in amplitude and phase modulation of sub-terahertz waves using electronics-based systems, it will be possible to apply super-resolution techniques,67 such as time-reversal68 and structured acoustic illumination,69 to improve the lateral resolution. In this study, the focal length is fixed, and variations in the height of the hand surface profile cause the spot size to change, resulting in image blur. To address this issue, variable focusing of sub-terahertz irradiation will help improve lateral resolution. Although challenging, there is also a possibility of making the receiver non-contact based on optical interferometry, which has been a hot topic in the field of photoacoustics.70 When combined with our method, such a detection scheme will enable fully-noncontact in vivo ultrasound anatomical imaging.

FIG. 5.

(a1) and (a2) Side and oblique views of the experimental setup. The sub-terahertz spot is irradiated on the dorsal side of a hand. Line scan is performed by translating the hand fixed on the holder while the positions of the double lens and the hydrophone are fixed. (b1)–(b4) Photos of the hands of the subjects 1–4. (c1)–(c4) Time-domain representation of the line scan results calculated by inverse Fourier transform of the experimentally acquired frequency-domain data.

FIG. 5.

(a1) and (a2) Side and oblique views of the experimental setup. The sub-terahertz spot is irradiated on the dorsal side of a hand. Line scan is performed by translating the hand fixed on the holder while the positions of the double lens and the hydrophone are fixed. (b1)–(b4) Photos of the hands of the subjects 1–4. (c1)–(c4) Time-domain representation of the line scan results calculated by inverse Fourier transform of the experimentally acquired frequency-domain data.

Close modal

In conclusion, we have demonstrated the generation of CW ultrasound in aqueous samples, including in vivo human bodies, using modulated CW sub-terahertz waves. The high absorption coefficient of water to sub-terahertz waves allows efficient generation of ultrasound in water without any additional absorber. Although we have used frequencies below 200 kHz in this study due to the limitation of our acoustic receiving system, the generation of higher frequencies up to the MHz range will be possible simply by increasing the modulation frequency. After quantitatively characterizing the fundamental properties of the proposed method, we have shown proofs-of-concept sensing applications including non-contact bulk modulus measurement and in vivo anatomical imaging. The former is based on the through-wall delivery of sub-terahertz waves to a sample in a dielectric container. We showed that its acoustic resonance is detectable even in the air with a microphone. The fully non-contact characterization is advantageous for, for example, the hygienic and non-destructive inspection of food and pharmaceutical products. The latter is based on ultrasound transmission imaging with a simple experimental configuration that requires only one contact point for the receiver. We have visualized the distribution of muscles and phalanges in the hands of the subjects. While we have adopted a simple mechanical line scan in this study, spatiotemporal modulation of the sub-terahertz irradiation pattern will open greater possibilities. For example, it is conceivable that the wavefront of in vivo ultrasound can be synthesized based on the phased array principle when irradiation timing among multiple points is controlled. This will contribute not only to improving the current experimental setup in terms of scanning speed and surface profile compensation but also to synthesizing stronger in vivo ultrasound without increasing the irradiation power density by distributing the exposure load to a wider area of the skin.

The data that support the findings of this study are available from the corresponding author upon reasonable request.

See the supplementary material for experimental details such as the sub-terahertz beam power and the water temperature measurement.

The authors thank Professor Masahiko Inami with the University of Tokyo for fruitful discussions. This work was supported by JST PRESTO (Grant Nos. JPMJPR18J9 and JSPS KAKENHI 21K18307).

The authors have no conflicts to disclose.

N.I. and Y.M. conceived the experiments, N.I. conducted the experiments, N.I. and Y.M. analyzed the results and wrote the manuscript.

Natsumi Ichikawa: Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Software (equal); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal). Yasuaki Monnai: Conceptualization (lead); Data curation (equal); Formal analysis (equal); Funding acquisition (lead); Investigation (equal); Methodology (equal); Supervision (equal); Validation (equal); Visualization (equal); Writing – original draft (equal); Writing – review & editing (equal).

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Supplementary Material