Next Article in Journal
Applications of Probabilistic Forecasting in Smart Grids: A Review
Next Article in Special Issue
Influence of Artificial Soft Tissue on Intra-Operative Vibration Analysis Method for Primary Fixation Monitoring in Cementless Total Hip Arthroplasty
Previous Article in Journal
A Reaction Microscope for AMO Science at Shanghai Soft X-ray Free-Electron Laser Facility
Previous Article in Special Issue
Verification of 3D AE Source Location Technique in Triaxial Compression Tests Using Pencil Lead Break Sources on a Cylindrical Metal Specimen
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

An Open Access Chamber Designed for the Acoustic Characterisation of Microbubbles

1
School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK
2
Leeds Institute of Medical Research, Wellcome Trust Brenner Building, St James’s University Hospital, Leeds LS9 7TF, UK
3
Molecular and Nanoscale Physics Group, School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, UK
4
Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), School of Computing, University of Leeds, Leeds LS2 9JT, UK
5
Institute for Cardiovascular and Metabolic Medicine (LICAMM), School of Medicine, University of Leeds, Leeds LS2 9JT, UK
6
Alan Turing Institute, London NW1 2DB, UK
*
Author to whom correspondence should be addressed.
Appl. Sci. 2022, 12(4), 1818; https://doi.org/10.3390/app12041818
Submission received: 22 December 2021 / Revised: 24 January 2022 / Accepted: 31 January 2022 / Published: 10 February 2022

Abstract

:
Microbubbles are used as contrast agents in clinical ultrasound for Left Ventricular Opacification (LVO) and perfusion imaging. They are also the subject of promising research in therapeutics as a drug delivery mechanism or for sonoporation and co-administration. For maximum efficacy in these applications, it is important to understand the acoustic characteristics of the administered microbubbles. Despite this, there is significant variation in the experimental procedures and equipment used to measure the acoustic properties of microbubble populations. A chamber was designed to facilitate acoustic characterisation experiments and was manufactured using additive manufacturing techniques. The design has been released to allow wider uptake in the research community. The efficacy of the chamber for acoustic characterisation has been explored with an experiment to measure the scattering of SonoVue® microbubbles at the fundamental frequency and second harmonic under interrogation from emissions in the frequency range of 1.6 to 6.4 MHz. The highest overall scattering values were measured at 1.6 MHz and decreased as the frequency increased, a result which is in agreement with previously published measurements. Statistical analysis of the acoustic scattering measurements have been performed and a significant difference, at the 5% significance level, was found between the samples containing contrast agent and the control sample containing only deionised water. These findings validate the proposed design for measuring the acoustic scattering characteristics of ultrasound contrast agents.

1. Introduction

Microbubbles are gas-filled bubbles encapsulated in a shell and are typically 1–10 μ m in diameter. Microbubbles are used as Ultrasound Contrast Agents (UCAs) because they oscillate in the presence of an acoustic field. This oscillation is due to the stiffness of the enclosed gas and the inertia of the liquid surrounding the microbubble [1,2]. Microbubbles act as resonant systems during insonification [3]. The resonant frequency is dependent on the physical properties of the encapsulating shell, the gas core, and the surrounding medium [2,4,5]. An oscillating microbubble dissipates energy through re-radiation, viscous dissipation, and thermal dissipation [3,6].
The behaviour of single microbubbles can be extended to populations provided that the concentration is sufficiently small [1]. At low concentrations, multiple scattering and the interactions between oscillating microbubbles can be ignored. Thus, for a population, both scattering and attenuation can be measured acoustically. The total scattering measured is the summation of the scattering from individual microbubbles and the total attenuation measured is the summation of the scattering and absorption from individual microbubbles [2]. Because the microbubble radius is inversely proportional to the resonant frequency [2], the population size distribution has an impact on the acoustic response. By measuring the overall acoustic response of a microbubble population, as opposed to single microbubble measurements, the number of measurements required to obtain a result that is statistically significant is reduced [7]. This can reduce the time needed to perform the characterisation experiment.
A common clinical application for UCAs is in contrast-enhanced echocardiography for Left Ventricular Opacification (LVO) [8]. For this application, the contrast agent is required to generate strong backscattered signals in the presence of a pressure wave in the range of frequencies used for diagnostic cardiac ultrasound imaging. Typically, cardiac imaging has a frequency range of 2–8 MHz. The scattering power of oscillating microbubbles is the largest near to the resonant frequency. Another requirement for cardiac imaging is that microbubbles are sufficiently small (less than 8 μ m in diameter) to pass through the pulmonary microcirculation and stable enough to reach the left ventricle [4]. The use of gases with a high molecular weight and the encapsulation of microbubbles in a shell have improved the stability of UCAs. These advances also cause an increase in both resonant frequency and viscosity, which increases the damping [3]. Microbubbles less than 8 μ m in diameter have resonances within the range of frequencies of diagnostic ultrasound [9].
The acoustic properties of UCAs can induce imaging artefacts unique to contrast-enhanced ultrasound imaging. In LVO, the concentration of microbubbles administered must be kept sufficiently low to limit the shadowing artefacts that can be introduced as a result of microbubble attenuation. At the Mechanical Index (MI) typically used in conventional echocardiography, destruction can occur by fragmentation of the microbubble or diffusion of the gas [10]. For most contrast-enhanced imaging applications, the MI is typically below 0.5 or, to limit microbubble destruction further and alleviate the swirling artefact, an MI lower than 0.2 may be used [8].
When driven at resonance, microbubble oscillation can be highly non-linear, resulting in the emission of sub-harmonics or harmonics of the incident frequency [11]. This non-linear response can be exploited to improve the delineation of the endocardial border in contrast-enhanced echocardiography through contrast-specific imaging modalities. Second-harmonic imaging [12] and sub-harmonic imaging [13] are two such modalities that rely on separating the contrast signal from that of tissue based on frequency filtering. In pulse inversion imaging [14], two pulses of opposite polarity are emitted and are subsequently compounded in the receive beamformer. Amplitude modulation is another multi-pulse technique, which results in a similar cancellation of the linear echoes [15].
Contrast specific imaging modalities are exploited in perfusion imaging. A rapid succession of high pressure pulses can be transmitted to destroy the microbubbles in the region of interest. Destruction still occurs well within FDA guidelines that states for cardiac applications the MI should not exceed 1.9 [16]. By suppressing the tissue response, quantitative assessment of reperfusion is possible. It may be possible to further improve quantitative perfusion imaging by using a monodisperse population of microbubbles, with higher sensitivity and more control over the acoustic response [7]. To take full advantage of a monodisperse population for such applications, it is important to characterise the population acoustically and to tailor the insonification accordingly.
Stable cavitation and inertial cavitation can be exploited for therapeutics, either through attachment and delivery of a therapeutic agent [17] or through sonoporation of cells and co-administration of a therapeutic agent [18]. A number of mechanisms may contribute to sonoporation, including stable cavitation and micro-streaming [19]. When streaming occurs close to a cell membrane, shear stress created by the moving fluid causes pores to appear. During more violent inertial cavitation, jet formations can occur, which can cause large pores to appear in the cell membrane [19,20]. The microbubbles experience their maximum radial response at resonance. For sonoporation, this translates into more forces exerted on the surface of the cell [21]. Sonoporation efficiency may be increased by using a monodisperse population of microbubbles created through filtering of a polydisperse population [7] or directly formed using microfluidic flow focusing techniques [22]. Alternatively, the efficiency may be increased for a polydispersed population through a broadband excitation such as a linear-frequency-modulated pulse [23].
For delivery of a therapeutic agent, the agent can be attached to the shell in liposomal form [24] or can be contained in a thin oil layer in the microbubble [21]. The therapeutic agent can be released through inertial cavitation or through controlled lipid shedding [25]. Once again, exciting the microbubbles at the resonant frequency increases the efficiency of the payload delivery [21]. The changes in the shell parameters of the liposome-loaded microbubbles have been shown to alter their acoustic characteristics through optical [26] and acoustic measurements [27]. The addition of an oil layer in the shell also leads to changes in the microbubbles’ acoustic characteristics [28]. Because the efficiency of the drug delivery is dependent on the insonification parameters, it is important to characterise these modified microbubbles when trialing their use for therapeutics applications.
Examples of acoustic characterisation experiments that have been performed previously are included in Table 1. Despite the clear benefit to both imaging and therapeutics applications, there is very little consistency in the experimental setup or protocol used to investigate the acoustic characteristics of microbubbles. Variations in the parameters of the transmitters and receivers, vessel geometry, and the interrogating acoustic wave can make comparison between different research groups challenging.
For attenuation measurements, the transmitter and receiver are usually placed in line with each other. A hydrophone is often used as the receiver to obtain the response from the sample over a broad range of frequencies [27,29]. An alternative approach uses the transmit transducer as the receiver and a strong reflector positioned behind the sample [4]. Scattering can be measured by the transmit transducer [30] or by another transducer, or hydrophone, placed in a position orthogonal to the transmit transducer [27,29]. In the case where the transmit transducer is used to measure backscatter, the limitations of the transducer bandwidth may prevent the measurement of sub-harmonics or second harmonics. Measurements are taken with deionised water to obtain a reference. Measurements are then taken with a known dilution of microbubbles. The experiment is usually performed with only one transmitter and one receiver, and the different acoustic measurements are normally taken separately [27,29].
Generally, a sample vessel with acoustically transparent windows is used to constrain the solution of microbubbles in the far-field of the transmitter and receiver. The vessel dimensions used vary considerably. In [29], the volume of the vessel was 500 mL, and in [27], the vessel had a total volume of 100 mL. The dimensions of the vessel used is a trade-off between limiting the size of the microbubble sample required and minimising the interactions between the chamber walls and the ultrasound beam. The sample volume is made larger than the receiver beam-width to ensure as many microbubbles are measured in a single insonification as possible. In procedures using a needle hydrophone, the beam-width is small and the sensitivity is low compared to a transducer. Only a small subset of the microbubbles in the sample vessel are in the path of the receiver and a large percentage of the sample goes unmeasured. A magnetic stirrer is used to keep the microbubbles uniformly distributed in the ultrasound beam during the experiment. The sample vessel must be refilled with a fresh sample regularly for new measurements and measurement repetitions. This can lead to the requirement of a large quantity of microbubbles to perform the complete acoustic characterisation.
The transmitter is typically excited with a short duration pulse [29] to excite the broadband response of the transducer or a linear frequency-modulated pulse [27] to obtain a broadband frequency response. By using a broadband transmission, the response of the microbubbles over a range of frequencies can be obtained in a short time. In other works, narrowband excitation is used [7,31]. Although some of this variation can be accounted for due to the different objectives of the research, it remains to be determined which approach is the most robust in characterising a microbubble population for direct comparison.
The large amount of variation in the experimental setup and protocol used to characterise microbubbles makes it difficult to compare results across multiple research groups. This variability also makes it difficult to attribute any changes in measured characteristics to changes made to the microbubble population alone. An open access design for the acoustic characterisation of populations of microbubbles is presented. This design consists of 3D-printed parts that can be reproduced with ease. The Microbubble Acoustic Characterisation Chamber (MACC) aims to facilitate the characterisation of established and novel microbubbles. The designs are freely available to download (https://github.com/UARPGitHub/MACC) to enable a direct comparison across research groups. The latest information can be found in the corresponding knowledge base (https://github.com/UARPGitHub/MACC/wiki). An experiment in which the scattering characteristics of SonoVue®, a UCA with widely reported acoustic characteristics, was performed for the purposes of validating the presented design.

2. Materials and Methods

2.1. Microbubble Acoustic Characterisation Chamber Design

The Microbubble Acoustic Characterisation Chamber (MACC) was designed for acoustic measurements of populations of microbubbles. An image of the MACC, manufactured using an Objet1000 Multi-Material PolyJet 3D Printer (Stratasys, Minneapolis, MN, USA) in Vero material, is shown in Figure 1. The MACC consists of a central chamber that can accommodate up to six single-element transducer housings, an inlet housing, and outlet housing.
The MACC chamber is an extruded octagon design, and 8 of the chamber’s faces feature a 22 mm-diameter channel. Transducer housings, the inlet housing and the outlet housing can be inserted into these channels. The other 2 faces feature 28 mm-diameter channels to accommodate inspection window housings. The total dimensions of the central chamber are 70 × 70 × 28 mm. The dimensions of the chamber represent a trade-off between limiting the internal volume, keeping the transducers operating in the far-field and reducing reverberations inside the chamber. Inspection windows allow a limited view inside the chamber and consist of 32 mm-diameter, 3 mm-thick, and clear acrylic disks situated in the inspection window housings. The central chamber features a series of 4 mm holes that are populated with M3-threaded inserts. All housings are secured using M3 socket screws and 1.5 mm-thick neoprene gaskets. The design files for the chamber, various housings, and neoprene gaskets are included in the repository. The list of parts and the assembly guide for the MACC can be found in the knowledge base (https://github.com/UARPGitHub/MACC/wiki/AssemblyGuide). The chamber was designed using Autodesk® Fusion 360. An exploded view of the MACC is shown in Figure 2.
The MACC inlet housing consists of two coaxially aligned nozzles with 2 mm outlets. Careful control of a sheath flow and a sample flow at the two inlets in the inlet housing allow flow focusing of the microbubble sample. This constrains the microbubbles in the centre of the chamber and ensures they remain in the far-field of the transducers without the need for a barrier. The outlet housing is a funnel design with a waste outlet at the top of the chamber. Both of these housings have Luer lock adapters inserted for use with stopcocks and tubing. Syringe pumps are used to control the inlet flows and the outlet tube is positioned, so the waste sample is collected in a waste container placed below the chamber.
Transducer housings have been designed for Videoscan® transducers (V323-SU, V384-SU, V310-SU, Olympus Industrial, Essex, UK). The transducer housings secure these transducers in a fixed position. A transducer is secured in the transducer housing by connecting a UHF plug to the UHF socket of the transducer. The chamber has been designed for use with pairs of unfocused 2.25 MHz, 3.5 MHz, and 5 MHz transducers. The pairs of transducers are placed inline with each other in the chamber for reference measurements. Backscatter is measured by the transmit transducer. All of the transducers are at a fixed distance of 35–37 mm from the centre of the chamber. Slight variations might be found due to the compressible neoprene gaskets. In addition to these housings, a design for a blank insert has also been provided that can be used to create acoustic absorbers or acoustic reflectors with the addition of an appropriate modification. These inserts can be used to create more flexible experimental setups. When less than the full complement of transducers are used with the chamber, these inserts can be used to make the chamber functional.
Figure 3 shows a schematic diagram of an experiment that can be used to measure the acoustic backscatter of a sample with a single pair of transducers and illustrates the concept behind the chamber design. This schematic corresponds to the chamber configuration illustrated in Figure 1. Transmitted waves propagate through a focused stream of the sample. The backscatter from this sample is received by the transmit transducer. A reference can be received using the inline transducer. By alternating the transmit transducer, both transducers can be used to obtain backscatter measurements.
Figure 4 shows the internal structure of a chamber configuration in which all six transducers are used. The transducers are aligned towards the centre of the chamber, allowing the reference to be measured on one transducer and scattering to be measured on up to five transducers from a single transmit event. By incorporating transducers with central frequencies over the range of 2.25 to 5 MHz, a broad range of frequencies around the typical resonant frequency of microbubbles can be investigated without the need for a needle hydrophone. Figure 4 highlights the internal structure of the inlet housing in which two coaxially aligned nozzles achieve flow focusing.

2.2. Experiment Design

The MACC design has been used to measure the acoustic scattering at the fundamental frequency and second harmonic of SonoVue®microbubbles. The experiment was performed with a 16-channel variant of the Ultrasound Array Research Platform (UARPII-16) developed at the University of Leeds and shown in Figure 5. This open platform allows the connection of 16 single-element transducers and can transmit and receive on all 16 channels simultaneously. The MACC, UARPII-16, and all six unfocused transducers were used to perform an experiment to assess the suitability of the entire setup for microbubble acoustic measurements [33]. Whilst the UARPII-16 was used in this instance, it could have been replaced with another multi-channel system providing access to the radio-frequency data from every channel [34] such as the NDT Vantage (Verasonics®, Kirkland, WA, USA) research solutions. Alternatively, a setup consisting of an arbitrary waveform generator, power amplifier, and oscilloscope [7,27,29] could be used, provided this setup accommodates six channels.
The UARPII-16 uses a quinary switched excitation method [35] to excite the transducers. This method allows the synthesis of an arbitrary waveform. Narrowband pulses, with a 10 μ s duration, were used as excitation waveforms. The waveforms were stepped in frequency ranging from 1.6 to 6.4 MHz at increments of 0.2 MHz. Only the waveforms that fell within the 60 % fractional bandwidth of a transducer were used with that transducer. This ensured that the frequency measurements from the various transducers overlapped whilst operating within reasonable limits of the transducer bandwidth. The waveforms were windowed using a Tukey window with a 0.2 Cosine fraction. The transducer response to these waveforms was measured before the experiment using a membrane hydrophone (Precision Acoustics, Dorset, UK) in a large water tank filled with deionised water. The membrane hydrophone was positioned to record the maximum pressure at a distance of 35 mm from the transducer under test. An oscilloscope (MSO-S 204 A, Keysight Technologies, Berkshire, UK) was used to obtain 128 acquisitions, and these were subsequently averaged in the time-domain. The resulting waveforms were windowed to obtain the central 5 μ s of the received pulse and inverse filtered using the hydrophone frequency response to obtain the pressure value corresponding to the maximum amplitude in the frequency domain. The amplitude of the transmit waveform was then pre-distorted to obtain a uniform 70 kPa root mean square (RMS) pressure at the transmit frequency used for each transducer. This was validated through further measurements with the membrane hydrophone.
The chamber was populated with all six transducers, and the pairs of transducers corresponding to the same central frequency were placed in line with each other according to Figure 4. The chamber was filled with deionised water. Due to the geometry of the chamber, it is possible for air to accumulate and become trapped within the upper two transducer housings. To prevent this from happening, the outlet stopcock was closed, and the upper transducer connectors were loosened during the initial filling stage to allow air to escape through the top of the upper transducer housings. The connectors were then tightened once more, and the outlet stopcock was opened for experimental measurements. A total of 110 mL of water was required to fill the chamber. Flow rates were assessed before the experiment when characterising the chamber. During this assessment, dye was applied to the sample to visualise the flow-focusing behaviour. A sheath flow rate of 22 mL per minute and a sample flow rate of 7 mL per minute were determined to provide a stable sample stream. This resulted in the sample being constrained to a stream approximately 1 mm in diameter in the centre of the chamber. It is worth noting that this process should be repeated for individually manufactured inlet housings to account for manufacturing discrepancies.
The pulse repetition frequency for the experiment was set to 500 Hz, and each of the frequencies assigned to a given transducer were repeated 64 times for the transducer. The individual insonifications were distributed throughout the experiment duration. The experiment was repeated 12 times with a fresh 1:1000 dilution of SonoVue® (Bracco, Milan, Italy), 12 times with a fresh 1:2500 dilution of SonoVue® and 12 times with deionised water to provide a reference. The dilutions were prepared from a single vial of SonoVue immediately before use. The choice between which sample was measured first was alternated for each repeat, and the reference measurement was taken last.

2.3. Signal Processing

Signal processing was performed in MATLAB®. For each of the 64 repetitions corresponding to a particular acoustic measurement, the received data were windowed using a square window to obtain an integer number of cycles and a temporal length of approximately 5 μ s. The start of the window was selected to coincide with the start of a cycle and was delayed by approximately 51 μ s from the start of the transmit event. These values were chosen to avoid any transients at the start or end of the pulse. The windowed signals were filtered between 100 kHz and 10 MHz using a fourth-order Butterworth bandpass filter. An average RMS amplitude spectrum was obtained from the windowed data of the 64 repetitions. In order to convert the amplitude spectrum to a pressure spectrum, a frequency-dependent receiver sensitivity was calculated for each transducer. This sensitivity was calculated from the calibration pressure measurements obtained with the membrane hydrophone for each transmit waveform. The average RMS amplitudes of the reference measurements, at the fundamental frequency and obtained using the inline transducer with only deionised water in the chamber, were assumed to correspond to the calibration pressure at the same frequency. Scattering measurements in decibels were determined using the pressure spectrum according to the following equation:
S ( f s ) = 20 log | P s c a t ( f s ) | | P r e f |
where P s c a t is the RMS pressure spectrum corresponding to the recorded scattering signal at the frequency of interest f s , and P r e f is the RMS pressure component at the fundamental frequency of the calibration measurements. Because the amplitude spectrum is recorded using a different receiver to the reference, the conversion to pressure was required to make the recorded data independent of the receiving transducer’s frequency-dependent sensitivity.

3. Results

For every acoustic scattering measurement presented in this section, a two-tailed t-test was performed between the average RMS amplitude component of the received data corresponding to a scattering measurement and a reference measurement in which no microbubbles were present. The null hypothesis that “the introduction of microbubbles into the acoustic path has no effect on the amplitude component at frequency f s ” was rejected at the 5% significance level for all of the amplitude components used to determine the scattering characteristics in the remainder of this section. This gives confidence that the MACC is suitable for performing microbubble scattering measurements.
Figure 6 shows the fundamental backscatter calculated over the frequency range of 1.6–6.4 MHz using Equation (1). The mean backscatter values from Figure 6a are included in Appendix Table A1 and for Figure 6b in Appendix Table A2. From Figure 6, it can be seen that the scattering from SonoVue® is highest at the lowest frequencies investigated. This is in general agreement with previous studies [31]. As is expected, because the measured scattering is the summation of the scattering from individual microbubbles, the lower dilution sample resulted in a lower scattering value. Both dilutions show the same general trend with frequency, and this gives confidence that the chamber is suitable for the measurement of dilutions of SonoVue® in the range of clinical doses. The measurements from the various transducers also overlap and are in general agreement with regards to the overall trend. For the pairs of transducers that are used to investigate the same frequency range, the scattering measurements are in agreement. This is further validation that the measurements are reliable. There is some discrepancy between the scattering values at the frequencies that overlap between different transducer pairs. This is likely due to mismatches in the transducer sensitivity compounded by the limits of the usable bandwidth for a transducer. This highlights the importance of performing the experiment within reasonable frequency limits for a given transducer and in the robust calibration of transducer receive-sensitivity.
Figure 7 shows the average RMS pressure spectrum obtained using various transducers from the first acquisition and for a transmit frequency of 1.6 MHz transmitted using a 2.25 MHz transducer (T1 in Figure 4). The spectrum measured using the inline 2.25 MHz transducer (T2 in Figure 4) for the reference measurement is included in Figure 7a. Figure 7b shows the backscattered data received by the transmit transducer (T1 in Figure 4) at the fundamental frequency and second harmonic. The second harmonic response is very low. This can be accounted for due to the limited bandwidth of the transducer. Figure 7c shows the data received by a 3.5 MHz transducer (T3 in Figure 4). In this case, the fundamental response is low, but the second harmonic is more pronounced. Figure 7d shows the combination of the fundamental response recorded by the transmit transducer and the second harmonic recorded by the 3.5 MHz transducer. It highlights how the signal received on multiple transducers can be combined to obtain the frequency response over a broader range of frequencies than would be possible with just a single receive transducer. It should be noted that the fusion of data from different receivers relies on the ability to obtain an accurate RMS pressure value for the receiver amplitude.
Figure 8 shows the second harmonic scattering calculated over the frequency range of 3.2–6.4 MHz using various receive transducers and Equation (1). The mean backscatter values from Figure 8a are included in Appendix Table A3 and for Figure 8b in Appendix Table A4. The scattering at the second harmonic shows the same trend as the scattering at the fundamental frequencies. The insonifications that provided the maximum scattering response at the fundamental frequency also provide the maximum at the second harmonic. Once again, the measurements from the various transducers overlap, and the lower dilution measurement resulted in lower scattering values.

4. Discussion

A statistically significant difference was found for all the reported acoustic measurements between the measured control sample, containing only deionised water, and the measured sample for both dilutions of contrast agent. Furthermore, the scattering characteristics measured are in agreement with previous studies [31] for the ultrasound contrast agent SonoVue®. By performing the measurements in both directions across the chamber, a great degree of confidence can be taken in the measured characteristics. For all the measurements taken, the lower dilution sample resulted in a lower scattering value. This validates the efficacy of the MACC for performing scattering measurements at both the fundamental frequency and the second harmonic.
The motivation behind the MACC is to provide a standardised piece of equipment for characterising microbubbles acoustically. In this work, narrowband waveforms were used to interrogate the sample at fixed frequency intervals. An alternative approach might have been to use broadband waveforms to obtain the response over a range of frequencies. The transmission parameters and digital signal processing steps required to obtain a robust acoustic characterisation methodology that can be used for differing research objectives and across research groups are yet to be determined. In this work, it was necessary to pre-distort the transmitted waveforms to obtain uniform pressures across a range of frequencies and transducers. It was also necessary to account for the sensitivity of the different transducers at different frequencies in receive. Without these steps, it would not have been possible to fuse the data from different transducers.
In providing a unified piece of equipment, it is possible for researchers in different locations to reproduce results. Researchers are able to share the parameters of the interrogating acoustic waves and flow rates used with the chamber alongside results. It is envisaged that, with a more standardised apparatus, a consistent protocol can be developed and direct comparison across research groups will become possible.
Due to the vast range of research objectives that may be encountered when characterising microbubbles, it is difficult to create a single piece of equipment to cover all possible scenarios. The MACC has been designed to allow a flexible configuration. The chamber, in its current form, allows the incorporation of absorbers and reflectors. These can be used at the expense of removing one or more of the transducers. Whilst the transducers chosen in this study offer the ability to investigate a broad range of frequencies around those typically required for microbubble characterisation, they are interchangeable, and transducers covering different frequency ranges may be used. For instance, if research objectives require the measurement of a lower fundamental frequency or sub-harmonic measurements, a pair of transducers with a central frequency of 1 MHz could be incorporated. Other research objectives may require attenuation measurements. Typically, attenuation measurements are made through a microbubble screen that is wider than the beam width. At the expense of performing the measurements in both directions across the chamber, the unfocused transducers on one side of the chamber could be replaced with focused transducers. By ensuring these focused transducers have a fixed focal depth coinciding with the sample stream, they could be used for the sole purpose of measuring attenuation.
The MACC has been released to allow other researchers the ability and freedom to modify and extend the design. Future modifications might include the incorporation of optics to provide optical characterisation capabilities. Another possible modification is the incorporation of an acoustic window housing to allow a phased array cardiac probe to be used to image the flowing microbubbles. Further modification and extensions to the MACC are welcomed.

5. Conclusions

In this work, a chamber for the characterisation of microbubbles was developed. The chamber was assessed with an experiment to measure the scattering characteristics of SonoVue®. For all acoustic measurements used in the determination of the scattering characteristics, t-tests were performed to ensure the measured data were statistically significant when compared to the control data. Scattering at the fundamental frequency and at the second harmonic were determined. The measurements were found to be in agreement with previously published measurements. These findings give confidence that the design is suitable for performing acoustic scattering measurements of UCAs. By releasing the MACC as open access, the chamber is well placed for wider adoption by the research community. This will facilitate direct comparison across research groups and will allow other researchers to contribute to the evolution of the design.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/app12041818/s1, S1: Scattering Data, S2: T1 Transmit Average RMS Amplitude Spectrums, S3: T2 Transmit Average RMS Amplitude Spectrums, S4: T3 Transmit Average RMS Amplitude Spectrums, S5: T4 Transmit Average RMS Amplitude Spectrums, S6: T5 Transmit Average RMS Amplitude Spectrums, S7: T6 Transmit Average RMS Amplitude Spectrums. The follow is available online at https://github.com/UARPGitHub/MACCProcessing, S8: MATLAB® Processing Code For Supplementary Files S2–S7. The follow is available online at https://github.com/UARPGitHub/MACC, S9: Microbubble Acoustic Characterisation Design Files. The follow is available online at https://github.com/UARPGitHub/MACC/wiki, S10: Microbubble Acoustic Characterisation Knowledge Base And Assembly Guide.

Author Contributions

Conceptualization, E.S., J.M., D.C. and S.F.; methodology, E.S., L.N., J.M. and S.F.; software, E.S., H.C. and T.C.; validation, E.S.; formal analysis, E.S.; investigation, E.S.; resources, J.M., D.C. and S.F.; data curation, E.S.; writing—original draft preparation, E.S.; writing—review and editing, E.S., L.N., J.M., H.C., T.C., D.C., S.E., A.F.F. and S.F.; visualization, E.S.; supervision, S.F., A.F.F. and S.E.; project administration, S.F.; funding acquisition, S.F. and S.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by EPSRC grants number EP/P023266/1 and EP/V04799X/1. A.F.F. is partially funded by a RAEng Chair in Emerging Technologies (CiET1819/19).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in Supplementary Material S1–S7.

Acknowledgments

The author would like to thank the Microbubble Consortium at the University of Leeds.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
UCAsUltrasound Contrast Agents
LVOLeft Ventricular Opacification
MIMechanical Index
MACCMicrobubble Acoustic Characterisation Chamber
RMSRoot Mean Square
FDAFood and Drug Administration
NDTNon-Destructive Test
UHFUltra-High Frequency

Appendix A

Table A1. Mean backscatter at the fundamental frequency over the frequency range 1.6–6.4 MHz for the 1:1000 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
Table A1. Mean backscatter at the fundamental frequency over the frequency range 1.6–6.4 MHz for the 1:1000 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
FrequencyScattering
(MHz)(dB)
T1/T1T2/T2T3/T3T4/T4T5/T5T6/T6
1.6−45.9−48.0----
1.8−47.3−48.0----
2.0−48.4−47.9----
2.2−48.8−49.1----
2.4−50.3−50.9−50.4−51.1--
2.6−52.3−52.8−51.0−51.4--
2.8−54.6−54.4−50.7−51.5--
3.0--−51.1−51.4--
3.2--−51.2−52.3--
3.4--−52.8−52.4--
3.6--−53.5−53.4--
3.8--−54.2−54.3−58.1−57.7
4.0--−55.8−55.1−58.3−58.4
4.2--−57.3−56.5−58.8−58.0
4.4--−58.9−57.6−59.4−58.5
4.6----−59.2−58.6
4.8----−60.1−59.3
5.0----−60.2−59.9
5.2----−60.9−60.4
5.4----−61.2−60.9
5.6----−61.4−61.5
5.8----−62.0−62.1
6.0----−62.4−62.5
6.2----−63.6−63.2
6.4----−63.8−63.8
Table A2. Mean backscatter at the fundamental frequency over the frequency range 1.6–6.4 MHz for the 1:2500 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
Table A2. Mean backscatter at the fundamental frequency over the frequency range 1.6–6.4 MHz for the 1:2500 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
FrequencyScattering
(MHz)(dB)
T1/T1T2/T2T3/T3T4/T4T5/T5T6/T6
1.6−50.1−51.1----
1.8−51.1−50.7----
2.0−52.5−51.5----
2.2−52.4−53.4----
2.4−54.4−54.8−54.0−54.8--
2.6−56.1−55.9−54.0−54.4--
2.8−58.1−57.5−54.4−54.6--
3.0--−54.5−54.2--
3.2--−55.1−55.7--
3.4--−56.1−55.7--
3.6--−57.1−56.9--
3.8--−57.4−57.3−61.9−60.8
4.0--−59.0−58.6−62.0−61.5
4.2--−60.6−59.9−62.4−61.6
4.4--−62.0−61.2−62.8−61.9
4.6----−62.8−62.4
4.8----−63.4−63.0
5.0----−63.3−63.5
5.2----−64.4−64.1
5.4----−64.6−64.7
5.6----−65.0−64.7
5.8----−65.6−65.9
6.0----−66.3−66.5
6.2----−66.7−66.4
6.4----−67.3−66.8
Table A3. Mean scattering at the second harmonic over the frequency range 3.2–6.4 MHz for the 1:1000 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
Table A3. Mean scattering at the second harmonic over the frequency range 3.2–6.4 MHz for the 1:1000 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
FrequencyScattering
(MHz)(dB)
T1/T3T1/T5T2/T4T2/T6T3/T5T4/T6
3.2−58.6-−59.5---
3.6−60.4-−61.1---
4.0−62.0−66.0−64.5−67.2--
4.4−66.5−67.7−66.5−67.6--
4.8-−69.0-−69.6−69.3−68.8
5.2-−71.2-−71.3−70.2−71.3
5.6-−73.0-−72.9−72.7−72.7
6.0----−74.4−73.9
6.4----−76.8−75.0
Table A4. Mean scattering at the second harmonic over the frequency range 3.2–6.4 MHz for the 1:2500 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
Table A4. Mean scattering at the second harmonic over the frequency range 3.2–6.4 MHz for the 1:2500 dilutions of SonoVue®. The transmitter receiver configuration is denoted transmitter/receiver.
FrequencyScattering
(MHz)(dB)
T1/T3T1/T5T2/T4T2/T6T3/T5T4/T6
3.2−61.9-−62.7---
3.6−63.8-−64.6---
4.0−65.4−69.5−67.5−70.6--
4.4−69.8−71.1−69.8−70.7--
4.8-−73.0-−72.5−73.1−72.5
5.2-−74.8-−74.7−73.8−75.2
5.6-−75.8-−76.3−76.1−75.9
6.0----−77.7−77.7
6.4----−79.5−78.5

References

  1. Hoff, L. Acoustic Characterization of Contrast Agents for Medical Ultrasound Imaging, 1st ed.; Kluwer Academic Publishers: Dordrecht, The Netherlands, 2001; pp. 7–41. [Google Scholar]
  2. Medwin, H. Counting bubbles acoustically: A review. Ultrasonics 1977, 15, 7–13. [Google Scholar] [CrossRef]
  3. De Jong, N.; Emmer, M.; van Wamel, A.; Versluis, M. Ultrasonic characterization of ultrasound contrast agents. Med. Biol. Eng. Comput. 2009, 47, 861–873. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. De Jong, N.; Hoff, L.; Skotland, T.; Bom, N. Absorption and scatter of encapsulated gas filled microspheres: Theoretical considerations and some measurements. Ultrasonics 1992, 30, 95–103. [Google Scholar] [CrossRef]
  5. Church, C. The effects of an elastic solid surface layer on the radial pulsations of gas bubbles. J. Acoust. Soc. Am. 1995, 97, 1510–1521. [Google Scholar] [CrossRef]
  6. Prosperetti, A. Acoustic cavitation series: Part two; Bubble phenomena in sound fields: Part one. Ultrasonics 1984, 22, 69–77. [Google Scholar] [CrossRef]
  7. Segers, T.; de Jong, N.; Versluis, M. Uniform scattering and attenuation of acoustically sorted ultrasound contrast agents: Modeling and experiments. J. Acoust. Soc. Am. 2016, 140, 2506–2517. [Google Scholar] [CrossRef] [PubMed]
  8. Senior, R.; Becher, H.; Monaghan, M.; Agati, L.; Zamorano, J.; Vanoverschelde, J.; Nihoyannopoulos, P.; Edvardsen, T.; Lancellotti, P. Clinical practice of contrast echocardiography: Recommendation by the European Association of Cardiovascular Imaging (EACVI) 2017. Eur. Heart J. Cardiovasc. Imaging 2017, 18, 1205. [Google Scholar] [CrossRef]
  9. Stride, E.; Saffari, N. Microbubble ultrasound contrast agents: A review. Proc. Inst. Mech. Eng. H 2003, 217, 429–447. [Google Scholar] [CrossRef]
  10. Chomas, J.; Dayton, P.; Allen, J.; Morgan, K.; Ferrara, K. Mechanisms of contrast agent destruction. IEEE Trans. Ultrason Ferroelectr. Freq. Contr. 2001, 48, 232–248. [Google Scholar] [CrossRef]
  11. Versluis, M.; Stride, E.; Lajoinie, G.; Dollet, B.; Segers, T. Ultrasound contrast agent modeling: A review. Ultrasound Med Biol 2020, 46, 2117–2144. [Google Scholar] [CrossRef]
  12. Schrope, B.; Newhouse, V. Second harmonic ultrasonic blood perfusion measurement. Ultrasound Med. Biol. 1993, 19, 567–579. [Google Scholar] [CrossRef]
  13. Forsberg, F.; Shi, W.; Goldberg, B. Subharmonic imaging of contrast agents. Ultrasonics 2000, 38, 93–98. [Google Scholar] [CrossRef]
  14. Simpson, D.; Chin, C.; Burns, P. Pulse inversion Doppler: A new method for detecting nonlinear echoes from microbubble contrast agents. IEEE Trans. Ultrason Ferroelectr. Freq. Contr. 1999, 46, 372–382. [Google Scholar] [CrossRef]
  15. Eckersley, R.; Chin, C.; Burns, P. Optimising phase and amplitude modulation schemes for imaging microbubble contrast agents at low acoustic power. Ultrasound Med. Biol. 2005, 31, 213–219. [Google Scholar] [CrossRef]
  16. Food and Drug Administration. Marketing Clearance of Diagnostic Ultrasound Systems and Transducers. 2019. Available online: https://www.regulations.gov (accessed on 5 July 2021).
  17. Kheirolomoom, A.; Dayton, P.; Lum, A.; Little, E.; Paoli, E.; Zheng, H.; Ferrara, K. Acoustically-active microbubbles conjugated to liposomes: Characterization of a proposed drug delivery vehicle. J. Control. Release 2007, 118, 275–284. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Bao, S.; Thrall, B.; Miller, D. Transfection of a reporter plasmid into cultured cells by sonoporation in vitro. Ultrasound Med. Biol. 1997, 23, 953–959. [Google Scholar] [CrossRef]
  19. Lentacker, I.; De Cock, I.; Deckers, R.; De Smedt, S.; Moonen, C. Understanding ultrasound induced sonoporation: Definitions and underlying mechanisms. Adv. Drug Deliv. Rev. 2014, 72, 49–64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Prentice, P.; Cuschieri, A.; Dholakia, K.; Prausnitz, M.; Campbell, P. Membrane disruption by optically controlled microbubble cavitation. Nat. Phys. 2005, 1, 107–110. [Google Scholar] [CrossRef] [Green Version]
  21. Kooiman, K.; Vos, H.; Versluis, M.; de Jong, N. Acoustic behavior of microbubbles and implications for drug delivery. Adv. Drug Deliv. Rev. 2014, 72, 28–48. [Google Scholar] [CrossRef] [PubMed]
  22. Ganan-Calvo, A.; Gordillo, J. Perfectly monodisperse microbubbling by capillary flow focusing. Phys. Rev. Lett. 2001, 87, 274501-1–274501-4. [Google Scholar] [CrossRef]
  23. McLaughlan, J.; Ingram, N.; Smith, P.; Harput, S.; Coletta, P.; Evans, S.; Freear, S. Increasing the sonoporation efficiency of targeted polydisperse microbubble populations using chirp excitation. IEEE Trans. Ultrason Ferroelectr. Freq. Contr. 2013, 60, 2511–2520. [Google Scholar] [CrossRef]
  24. Ingram, N.; McVeigh, L.; Abou-Saleh, R.; Maynard, J.; Peyman, S.; McLaughlan, J.; Fairclough, M.; Marston, G.; Valleley, E.; Jimenez-Macias, J.; et al. Ultrasound-triggered therapeutic microbubbles enhance the efficacy of cytotoxic drugs by increasing circulation and tumor drug accumulation and limiting bioavailability and toxicity in normal tissues. Theranostics 2020, 10, 10973–10992. [Google Scholar] [CrossRef]
  25. Luan, Y.; Lajoinie, G.; Gelderblom, E.; Skachkov, I.; van der Steen, A.; Vos, H.; Versluis, M.; de Jong, N. Lipid shedding from single oscillating microbubbles. Ultrasound Med. Biol. 2014, 40, 1834–1846. [Google Scholar] [CrossRef] [PubMed]
  26. Luan, Y.; Faez, T.; Gelderblom, E.; Skachkov, I.; Geers, B.; Lentacker, I.; van der Steen, T.; Versluis, M.; de Jong, N. Acoustical properties of individual liposome-loaded microbubbles. Ultrasound Med. Biol. 2012, 38, 2174–2185. [Google Scholar] [CrossRef] [PubMed]
  27. McLaughlan, J.; Harput, S.; Abou-Saleh, R.; Peyman, S.; Evans, S.; Freear, S. Characterisation of liposome-loaded microbubble populations for subharmonic imaging. Ultrasound Med. Biol. 2017, 43, 346–356. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. May, D.; Allen, J.; Ferrara, K. Dynamics and fragmentation of thick-shelled microbubbles. IEEE Trans. Ultrason Ferroelectr. Freq. Contr. 2002, 49, 1400–1410. [Google Scholar] [CrossRef]
  29. Mulvana, H.; Stride, E.; Hajnal, J.; Eckersley, R. Temperature dependent behavior of ultrasound contrast agents. Ultrasound Med. Biol. 2010, 36, 925–934. [Google Scholar] [CrossRef] [PubMed]
  30. De Jong, N.; Hoff, L. Ultrasound scattering properties of Albunex microspheres. Ultrasonics 1993, 31, 175–181. [Google Scholar] [CrossRef]
  31. Tang, M.; Eckersley, R. Frequency and pressure dependent attenuation and scattering by microbubbles. Ultrasound Med. Biol. 2007, 33, 164–168. [Google Scholar] [CrossRef]
  32. Peyman, S.; Abou-Saleh, R.; McLaughlan, J.; Ingram, N.; Johnson, B.; Critchley, K.; Freear, S.; Evans, A.; Markham, A.; Coletta, P.; et al. Expanding 3D geometry for enhanced on-chip microbubble production and single step formation of liposome modified microbubbles. Lab Chip 2012, 12, 4544–4552. [Google Scholar] [CrossRef]
  33. Clegg, H.; Carpenter, T.; McLaughlan, J.; Freear, S.; Cowell, D. Using Heterogeneous Hardware for Simultaneous Diagnostic and Therapeutic Ultrasound. In Proceedings of the IEEE International Ultrasonics Symposium (IUS), Glasgow, UK, 6–9 October 2019; pp. 521–524. [Google Scholar]
  34. Boni, E.; Yu, A.; Freear, S.; Jensen, J.; Tortoli, P. Ultrasound Open Platforms for Next-Generation Imaging Technique Development. IEEE Trans. Ultrason Ferroelectr. Freq. Control 2018, 65, 1078–1092. [Google Scholar] [CrossRef] [PubMed]
  35. Cowell, D.; Freear, S. Quinary excitation method for pulse compression ultrasound measurements. Ultrasonics 2008, 48, 98–108. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Microbubble Acoustic Characterisation Chamber populated with two 2.25 MHz transducers (V323-SU, Olympus Industrial, Essex, UK), four blank inserts, the inlet housing, and the outlet housing.
Figure 1. Microbubble Acoustic Characterisation Chamber populated with two 2.25 MHz transducers (V323-SU, Olympus Industrial, Essex, UK), four blank inserts, the inlet housing, and the outlet housing.
Applsci 12 01818 g001
Figure 2. Exploded view of the Microbubble Acoustic Characterisation Chamber created using Autodesk® Fusion 360.
Figure 2. Exploded view of the Microbubble Acoustic Characterisation Chamber created using Autodesk® Fusion 360.
Applsci 12 01818 g002
Figure 3. Schematic of acoustic experiment to measure the backscatter using a single pair of 2.25 MHz transducers.
Figure 3. Schematic of acoustic experiment to measure the backscatter using a single pair of 2.25 MHz transducers.
Applsci 12 01818 g003
Figure 4. Cross-section of the Microbubble Acoustic Characterisation Chamber showing the internal structure and the position of the transducers during the experiment. Created using Autodesk® Fusion 360.
Figure 4. Cross-section of the Microbubble Acoustic Characterisation Chamber showing the internal structure and the position of the transducers during the experiment. Created using Autodesk® Fusion 360.
Applsci 12 01818 g004
Figure 5. This experimental setup was used to measure the acoustic scattering of SonoVue® microbubbles over the frequency range 1.6 to 6.4 MHz.
Figure 5. This experimental setup was used to measure the acoustic scattering of SonoVue® microbubbles over the frequency range 1.6 to 6.4 MHz.
Applsci 12 01818 g005
Figure 6. Measured backscatter at the fundamental frequency over the frequency range of 1.6–6.4 MHz for (a) the 1:1000 and (b) the 1:2500 dilutions of SonoVue®. Measurement scattering signals were recorded using the transmit transducer as a receiver. The error bars reflect the standard error over the 12 experiment repetitions.
Figure 6. Measured backscatter at the fundamental frequency over the frequency range of 1.6–6.4 MHz for (a) the 1:1000 and (b) the 1:2500 dilutions of SonoVue®. Measurement scattering signals were recorded using the transmit transducer as a receiver. The error bars reflect the standard error over the 12 experiment repetitions.
Applsci 12 01818 g006
Figure 7. Root mean square (RMS) pressure spectra for 1.6 MHz insonification using T1 and received on (a) T2, (b) T1, and (c) T3 as illustrated in Figure 4. (d) Combined RMS pressure spectrum with T1 used to measure scattering at the fundamental frequency and T3 used to measure scattering at the second harmonic.
Figure 7. Root mean square (RMS) pressure spectra for 1.6 MHz insonification using T1 and received on (a) T2, (b) T1, and (c) T3 as illustrated in Figure 4. (d) Combined RMS pressure spectrum with T1 used to measure scattering at the fundamental frequency and T3 used to measure scattering at the second harmonic.
Applsci 12 01818 g007
Figure 8. Measured scattering at the second harmonic over the frequency range of 3.2–6.4 MHz for (a) the 1:1000 and (b) the 1:2500 dilutions of SonoVue®. The error bars reflect the standard error over the 12 experiment repetitions.
Figure 8. Measured scattering at the second harmonic over the frequency range of 3.2–6.4 MHz for (a) the 1:1000 and (b) the 1:2500 dilutions of SonoVue®. The error bars reflect the standard error over the 12 experiment repetitions.
Applsci 12 01818 g008
Table 1. Variability in the parameters of the transmitters, receivers, vessel geometry, and the interrogating acoustic waves found in examples of acoustic characterisation experiments.
Table 1. Variability in the parameters of the transmitters, receivers, vessel geometry, and the interrogating acoustic waves found in examples of acoustic characterisation experiments.
MeasurementVesselTransmitterTransmissionReceiverMicrobubbleRef.
AttenuationSample vessel with acoustic path length of 60 mm and a 30 μ m-thick material on the face oriented at 15 to the acoustic axis of transducer.1, 2.25, 5, and 10 MHz transducers. (Panametrics-NDT, Waltham, MA, USA). Focal length: 75 mm.125 ns pulse (1 and 2.25 MHz transducers) or 35 ns pulse (5 and 10 MHz transducers).Transmitter used as receiver (reflector used behind sample vessel).Albunex®. (Molecular Biosystems, Inc., San Diego, CA, USA)[30]
Scattering125 ns pulse (1 and 2.25 MHz transducers) or 35 ns pulse (5 and 10 MHz transducers).Transmitter used as receiver.
Attenuation3 different sample vessels with acoustic path lengths of 4, 6, and 8 cm; 6 μ m acoustically transparent windows.3.5 MHz transducer. (V380 Panametrics-NDT, Waltham, MA, USA). Focused.Narrowband 4-cycle Gaussian enveloped sinusoidal pulses: 1–5 MHz. Peak negative pressure: 10.6–106 kPa.3.5 MHz transducer. (V380 Panametrics-NDT, Waltham, MA, USA). Focused.SonoVue®. (Bracco Research SA, Geneva, Switzerland)[31]
ScatteringNarrowband 4-cycle Gaussian enveloped sinusoidal pulses: 1–5 MHz. Peak negative pressures: 10.6–106 kPa at 1 MHz upto 50.5–505 kPa at 5 MHz.3.5 MHz transducer. (V380 Panametrics-NDT, Waltham, MA, USA). Focused. Alignment: 90 .
Attenuation500 mL sample vessel. 6 μ m acoustically transparent windows.3.5 MHz transducer. (V380 Panametrics-NDT, Waltham, MA, USA). Focal length: 75 mm.2-cycle Gaussian pulse. Peak negative pressure: 20–280 kPa.0.5 mm needle hydrophone. (Precision Acoustics, Dorset, UK).SonoVue®. (Bracco Research SA, Geneva, Switzerland)[29]
Scattering2-cycle Gaussian pulse: 4 MHz centre frequency. Peak negative pressures: 50–200 kPa.3.5 MHz transducer. (V380 Panametrics-NDT, Waltham, MA, USA). Focal length: 75 mm. Alignment: 90 .
Attenuation1.5 × 1.5 × 4.5 cm 3 sample vessel made of acoustically transparent polystyrene membrane.2.25 MHz transducer. (A305S, Panametrics-NDT, Waltham, MA, USA). Focal length: 25.4 mm.Narrowband 16-cycle pulses: 0.7–5.5 MHz. Peak negative pressure: 10–100 kPa.5 MHz transducer. (C308, Panametrics-NDT, Waltham, MA, USA). Focal length: 25.4 mm.Bracco BR-14. (Bracco Research SA, Geneva, Switzerland)[7]
ScatteringNarrowband 16-cycle pulses: 0.7–5.5 MHz. Peak negative pressure: 10–100 kPa.3 MHz transducer. (SR 885C1001, Vermon, Tours, France). Focal length: 54.5 mm. Alignment: 90 .
Attenuation100 mL cylindrical sample vessel with internal diameter of 30 mm. 12.5 μ m acoustically transparent windows: 20 mm diameter.5 MHz transducer (V310, Olympus Industrial, Essex, UK). Unfocused.10 μ s pre-distorted linear frequency-modulated pulse: 3–8 MHz. Peak negative pressure: 100 kPa.1 mm needle hydrophone. (Precision Acoustics, Dorset, UK)Liposome-loaded microbubbles produced using microfluidic manufacturing process [32].[27]
Scattering10 μ s tone burst: 4 MHz. Peak negative pressures: 50–300 kPa.1 mm needle hydrophone. (Precision Acoustics, Dorset, UK). Alignment: 90 .
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Smith, E.; Nie, L.; McLaughlan, J.; Clegg, H.; Carpenter, T.; Cowell, D.; Evans, S.; Frangi, A.F.; Freear, S. An Open Access Chamber Designed for the Acoustic Characterisation of Microbubbles. Appl. Sci. 2022, 12, 1818. https://doi.org/10.3390/app12041818

AMA Style

Smith E, Nie L, McLaughlan J, Clegg H, Carpenter T, Cowell D, Evans S, Frangi AF, Freear S. An Open Access Chamber Designed for the Acoustic Characterisation of Microbubbles. Applied Sciences. 2022; 12(4):1818. https://doi.org/10.3390/app12041818

Chicago/Turabian Style

Smith, Elliott, Luzhen Nie, James McLaughlan, Harry Clegg, Thomas Carpenter, David Cowell, Stephen Evans, Alejandro F. Frangi, and Steven Freear. 2022. "An Open Access Chamber Designed for the Acoustic Characterisation of Microbubbles" Applied Sciences 12, no. 4: 1818. https://doi.org/10.3390/app12041818

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop