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104 J. Hui and J.-X. Cheng
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plaque enabled by a 2-kHz barium nitrite Raman laser. Sci Rep 4(6889). https://doi.org/10.1038/
srep06889
Weber J, Beard PC, Bohndiek SE (2016) Contrast agents for molecular photoacoustic imaging. Nat
Methods 13(8):639–650. https://doi.org/10.1038/nmeth.3929 Wei W, Li X, Zhou Q, Shung KK, Chen Z (2011) Integrated ultrasound and photoacoustic probe
for co-registered intravascular imaging. J Biomed Opt 16(10):106001. https://doi.org/10.1117/1.
3631798
Weyer L, Workman J Jr (2007) Practical guide to interpretive near-infrared spectroscopy. CRC
Press, Boca Raton Yahagi K, Kolodgie FD, Otsuka F, Finn AV, Davis HR, Joner M, Virmani R (2016) Pathophysiology
of native coronary, vein graft, and in-stent atherosclerosis. Nat Rev Cardiol 13(2):79–98. https://
doi.org/10.1038/nrcardio.2015.164
Yakovlev VV, Zhang HF, Noojin GD, Denton ML, Thomas RJ, Scully MO (2010) Stimulated
Raman photoacoustic imaging. Proc Natl Acad Sci U S A 107(47):20335–20339. https://doi.org/
10.1073/pnas.1012432107
Yeager D, Karpiouk A, Wang B, Amirian J, Sokolov K, Smalling R, Emelianov S (2012) Intravascu-
lar photoacoustic imaging of exogenously labeled atherosclerotic plaque through luminal blood.
J Biomed Opt 17(10). doi: Artn 106016. https://doi.org/10.1117/1.Jbo.17.10.106016 Zhang EZ, Beard PC (2011) A miniature all-optical photoacoustic imaging probe. Proc Spie 7899.
doi: Artn 78991f. https://doi.org/10.1117/12.874883 Zhang J, Yang S, Ji X, Zhou Q, Xing D (2014) Characterization of lipid-rich aortic plaques by
intravascular photoacoustic tomography: ex vivo and in vivo validation in a rabbit atherosclerosis
model with histologic correlation. J Am Coll Cardiol 64(4):385–390. https://doi.org/10.1016/j.
jacc.2014.04.053
Chapter 5
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Contrast-Enhanced Dual-Frequency Super-Harmonic Intravascular Ultrasound (IVUS) Imaging
Jianguo Ma and Xiaoning Jiang
Background
Atherosclerotic cardiovascular disease is a leading cause of death worldwide, and one which often manifests without warning (Naghavi 2003). According to the 2014 update of Heart Disease and Stroke Statistics by the American Heart Association (Go et al. 2014), there are more than 2000 deaths every day in the USA on average, which is 1 death every 40 s. For up to 75% of acute coronary syndromes, the under­lying pathological mechanism is hypothesized to be atherosclerotic plaque rupture (Naghavi 2003). Unfortunately, a high percentage of vulnerable plaques are also angiographically occult, and these are responsible for a high proportion of ensuing cardiac events resulting in either fatalities or requiring further interventional treat­ment (Glaser 2005; Goertz et al. 2007). For this reason, detection and characterization of plaques which are rupture prone is one of the most active areas of research in cardi­ology and biomedical imaging (Constantinides 1990). The vasa vasorum is a network of microvessels which supports larger vessels such as the aorta, and increased density of the vasa vasorum has been associated with a plaque advancing from a stable state to a rupture-prone state (Naghavi 2010; Moulton et al. 2003). Additionally, intraplaque hemorrhage occurring from thin-walled, immature microvessels has been present in plaques in many cases of sudden coronary death (Virmani 2005). Evidence suggests that vasa vasorum proliferation and associated angiogenesis and inflammation is
J. Ma ( School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China e-mail: majianguo@buaa.edu.cn
Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing 100191, China
X. Jiang Department of Mechanical and Aerospace Engineering, North C arolina State University, Raleigh, NC 27695, USA
© Springer Nature Singapore Pte Ltd. 2020 Q. Zhou and Z. Chen (eds.), Multimodality Imaging,
https://doi.org/10.1007/978-981- 10-6307-7_5
B
)
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associated with plaque instability and rupture (Virmani 2005; Kolodgie et al. 2003; Milei et al. 1998; Moreno and Fuster 2004). As our ability to predict the instability of atherosclerotic lesions remains a substantial challenge, there is an unmet need for new imaging methods to identify, detect, and differentiate these pathologies (Jaffer et al. 2006).
The new technology of ultrasound molecular imaging utilizes contrast agents displaying targeting ligands to identify areas of inflammation and angiogenesis associated with disease progression (targets that cannot be identified by B-mode ultrasound) (Lindner 2004; Choudhury et al. 2004; Gessner and Dayton 2010). Prior data suggest that ultrasound molecular imaging will provide a unique opportunity for plaque biomarker evaluation (such as inflammatory or angiogenic markers) and for identification of vulnerable plaques (ten Kate et al. 2010). Additionally, a new high­frequency contrast imaging technique, acoustic angiography (Gessner et al. 2013c), takes advantage of exciting microbubbles near resonance and detecting their high­frequency, broadband harmonics with sufficient bandwidth separation to achieve both high resolution and high contrast-to-noise ratio (CNR). Data have shown that acoustic angiography enables detailed visualization and analysis of microvascular structure (Gessner et al. 2012, 2013c), and will likely be applicable to vasa vasorum imaging. Thus, we hypothesize that there is a role for contrast-enhanced ultrasound imaging in the assessment of atherosclerosis at high-order harmonic frequencies.
Feinstein has illustrated the potential of contrast-enhanced transcutaneous ultra­sound imaging on the carotid artery (Feinstein 2006), but the potential of transcu­taneous ultrasound has limitations with resolution and motion artifacts (Staub et al.
2010), especially if the target is the deeper coronary arteries. This may present an
opportunity for intravascular ultrasound (IVUS) (Slager et al. 2000), which has been widely utilized for the characterization of coronary vessel walls (Tobis et al. 1991), morphology of plaques (Jang et al. 2002), and so on. However, conventional IVUS transducers are not optimized for contrast imaging (Nissen et al. 1991), and, there­fore, are ineffective for vasa vasorum imaging. This absence of technology may be due to the fact that nonlinear detection strategies for contrast imaging are most effec­tive near the resonant frequency of microbubble contrast agents, which is typically between 1 and 10 MHz (Kasprzak et al. 1999). Thus, conventional contrast imaging strategies are not very effective with high-frequency ultrasound (35–50 MHz) that is typically used with IVUS. To overcome this challenge, Goertz and collaborators have been evaluating both subharmonic and harmonic contrast IVUS imaging, with the goal of vasa vasorum imaging (Goertz et al. 2006, 2007). Their research showed a contrast-to-tissue ratio (CTR) of 28 dB in subharmonic imaging with a fundamental frequency of 30 MHz (Goertz et al. 2007) and 25 dB in second-harmonic imaging with a fundamental frequency of 20 MHz (Goertz et al. 2006).
We hypothesize that resolution and contrast-to-tissue ratios can be further improved over subharmonic or harmonic contrast IVUS imaging by excitation of microbubbles near resonance and detecting their backscatter at a bandwidth sub­stantially higher than that of the transmission, previously called “super-harmonic,” “ultra-broadband,” or “transient” imaging. In prior work, de Jong et al. (2002), Bouakaz et al. (2003), and Kruse and Ferrara (2005) demonstrated that substantial
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improvements in CTR could be achieved by detecting the high-frequency energy produced by microbubbles excited at lower frequencies. Bouakaz et al. utilized a dual-frequency transducer to illustrate that the CTR of the fourth and fifth harmonic could be 15 and 7 dB higher than that of the second harmonic, respectively (Bouakaz et al. 2003). Kruse et al. also utilized a dual-frequency transducer arrangement, and demonstrated that substantial scattered energy from microbubbles excited near 2 MHz could be detected at a frequency as high as 45 MHz. More recently, Gessner et al. (2010, 2012, 2013c) utilized mechanically scanned dual-frequency transducers (transmit at 2 or 4 MHz, and receive at 30 MHz) on the VisualSonics Vevo770 to per­form high-frequency 3-D contrast imaging of in vivo microvasculature and achieved resolution on the order of 100 microns with a CTR high enough so that microvessels could be readily segmented from the images and their morphology analyzed.
Despite the promising CTR and vessel imaging capability of this imaging approach, there is a substantial challenge for “ultra-broadband” contrast-enhanced intravascular ultrasound (CE-IVUS), which is likely why it is yet relatively unde­veloped. The primary limitation is the large frequency span, which is outside of the current bandwidth of commercially available single-frequency transducers. Such difficulty could be surmounted by using multiple confocal transducers as described by Gessner et al. (2010), however, such transcutaneous exposure method is almost impossible to be used for coronary vasa vasorum imaging due to penetration depth limitation and existence of ribs at the chest. Furthermore, decreasing the frequency to <20 MHz is not a solution for a larger penetration depth because the high resolution is needed to image the vasa vasorum with an average diameter of 161 µmforthefirst order and 68 µm for the second order (Kwon et al. 1998). Intravascular ultrasound (IVUS) imaging may be a solution to access the vasa vasorum deep inside the body, and has been widely utilized for the characterization of coronary vessel walls (Tobis et al. 1991), the morphology of plaques (Jang et al. 2002), and so on. For the CE­IVUS super-harmonic vasa vasorum imaging, a specifically designed dual-frequency IVUS transducer is essential.
In this chapter, small aperture, dual frequency, and IVUS transducers are intro­duced (Ma et al. 2013a, b), which provide sufficient bandwidth separation for high CTR, high-resolution CE-IVUS imaging. Design, fabrication, characterization, and super-harmonic imaging capabilities are demonstrated. The imaging performance was compared among transducers with different materials and excitation frequen­cies. High-resolution (70 µm), high CTR (23 dB) images of microbubbles could be generated by the dual-frequency transducers, indicating the potential capability of imaging the second-order vasa vasorum.
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Dual-Frequency IVUS Transducer
Dual-Frequency Transducer Structure Design
There are several alternative s tructures of the dual-frequency transducer design (Fig. 5.1a–d). One structure is to put the high-frequency element and the low­frequency element side by side, which is named as interleaved structure (Fig. 5.1a) (Van Neer et al. 2010; Martin et al. 2014). Advantage of this structure is the low cross talk between the high-frequency and the low-frequency elements. However, this structure has misaligned beam profile between the two frequencies and the transmitting pressure was too low in the sensitive region of the high-frequency beam (x =−0.2, y = 0inFig.5.2a). If the elements are stacked in layers (Fig. 5.1b), then the transmitting and receiving beam would have the best overlap because of the spatial alignment. However, if the two active layers were directly bonded together, then the high-frequency receiving signal would continue propagation after being detected by the receiving element, the reflection of which at the back side of the transducer would cause aliasing echoes that show up after the real signal. Such alias­ing echoes could either cause fake imaging signal (if each echo is considered as a signal) or reduce the resolution (if the series of echoes are considered as one sig­nal). An acoustic filter (Fig. 5.1c) with a quarter wavelength for high frequency was placed between the two piezoelectric layers to enhance the low-frequency transmit­ting wave penetration, while reflecting the high-frequency receiving wave to suppress the aliasing echo (Azuma et al. 2010). Detailed analysis of the acoustic filter will be described in the next subsection. Furthermore, it is impossible to make the electrical impedance match for both elements if the two elements are same in the aperture. The low-frequency element is thicker than the high-frequency element, so that the capacitance is lower. Consequently, the impedance ( Z = element is significantly higher than the high-frequency element due to low ω and low C . Furthermore, the natural focus points (near-field and far-field transition) of the two beams are also significantly different if the apertures of the two elements are the same. Based on these concerns, the structure of the transducer was designed as stacked layers with different apertures between the two active elements (Fig. 5.1d).
With the above consideration, the dual-frequency transducer was designed as a dual layer transduction structure, composed of a low-frequency transmitting layer and a high-frequency receiving layer (Fig. 5.1e) (Ma et al. 2013a). The transmission layer was placed behind the receiving layer (with respect to a forward traveling sound wave) since low-frequency transmitted acoustic waves could propagate through the smaller, high-frequency element. The placement of the receiving layer counted in the matching network of the low-frequency transmission element, which showed positive effect that amplifies the low-frequency propagation wave. The selection of
6.5 MHz as the transmitting layer’s center frequency was because it was both close to the contrast agents’ resonant frequency and since the piezoelectric material for this element was readily available. The high-frequency receiving layer was positioned in the front of the transducer to achieve an optimal receiving performance of the
1
) of the low-frequency
jωC
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Fig. 5.1 Structural design of dual frequency transducer design alternatives. a Interleaved structure. b Stack layer structure. c Stack layer structure with acoustic filter sandwiched between the high–low-
frequency piezoelectric layers. d Stack layer structure with acoustic filter and different apertures of the high–low-frequency elements. e Cross-sectional view of the final dual-frequency ultrasonic transducer design
Fig. 5.2 Beam profile of a the low-frequency transmitter in the interleaved structure transducer, b the low-frequency transmitter in the stack layer transducer, and c the high-frequency receiver
high-frequency element. Transducer dimensions were optimized using a KLM model (Krimholtz et al. 1970) to validate the thickness of layers, length, and width of each component for ideal thickness mode excitation. The aperture of the high-frequency (0.5 mm × 0.6 mm) receiving layer was designed to be similar to that of commercial IVUS transducers (Garcia-Garcia et al. 2010), and thus significantly smaller than that of the transmission layer (3 × 0.6 mm frequency component was designed to obtain reasonably low electrical impedance
2
). The relatively large aperture of the low-
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at low frequencies for higher acoustic pressure transmission. The modeling of the 30 MHz element considered the existence of the 6.5 MHz element at Side B (back side) as backing according to the structure of the design in Fig. 5.1e (Ma et al. 2014b).
Acoustic Filter for Stack Layer Transducers
Function of Acoustic Filter
If the dual-frequency transducer is designed with stacked layers as illustrated in Fig. 5.1b, then one major concern would be the acoustic interference between the two elements. Such interference might cause advantages or disadvantages. Unfortu­nately, the direct bonding of the two active layers leads to interferences between the two layers which are disadvantages for the dual-frequency intravascular ultrasound transducer.
Isolation of High-Frequency Ultrasound Wave
For high-frequency ultrasound, the direct bonding of piezoelectric layers causes an additional receiving signal, which is named as aliasing signal (Fig. 5.3). After the receiving signal is detected by the high-frequency element, the acoustic wave further propagates from the high-frequency piezoelectric layer to the low-frequency piezoelectric layer (red solid arrow in Fig. 5.3a). After reflected from the back side of the low-frequency piezoelectric layer, the echo signal (green dash arrow in Fig. 5.3a) excites the high-frequency receiving element again and generates extra pulses, i.e., aliasing signal (Fig. 5.3b). The aliasing signal is indistinguishable from the real target, leading to imaging artifacts. Hence, the aliasing signal must be removed or suppressed to a level which is significantly lower than the real target signal.
Fig. 5.3 Aliasing echo generation. a Schematic diagram of dual-frequency ultrasonic transducer with high- and low-frequency piezoelectric layers directly bonded; b signal detected by the receiver
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The traditional method of removing the aliasing signal was to use high absorptive material to attenuate the signal transmitted backward, which does not work well in intravascular dual-frequency transducer application except that the two frequencies are significantly different ( f
> 14 fL). First, there are barely any high absorptive
H
materials that can eliminate the signal within a couple of wavelengths according to the space allowed in the intravascular ultrasound transducer. Second, high absorptive material with large thickness attenuates the low-frequency transmission ultrasound as well. High attenuation on the low-frequency transmission is not acceptable for the non-focused small-aperture transducer, which needs to generate high enough pressure for microbubble nonlinear excitations. Taking these concerns into account, the aliasing echo should not be removed using the absorption method if the two frequencies are not significantly (>10 times) different.
Reflection can be used to suppress the backward wave by changing the acous­tic impedance matching conditions at the boundary. With two active l ayers bonded together (Fig. 5.3a), the impedance of them are well matched (PZT, PMN-PT …) or perfectly matched (for the same material of the two layers). Most ultrasound energy is transmitted backward and hence, causing the aliasing echo (Fig. 5.3b). If an interme- diate layer is inserted between the two active layers, then the boundary condition can be changed, which could possibly reflect most of the energy directly without propa­gating to the low-frequency element. Impedance of the intermediate layer should be different from the active layers as much as possible. Low impedance material, with impedance much lower than piezoelectric materials, was chosen in this application because such materials are much more easily available. With a thickness of a quarter wavelength, the resultant impedance at the interface can be much lower than that of piezoelectric materials, so that most energy is reflected and little energy propagates. The suppression further happens when the tiny back-reflected wave interface with the boundary again. As a result, there is very little aliasing echo from the back side of the transducer. Such an intermediate layer changes the equivalent impedance at the boundary from well matched to mismatched. As a result, this particular intermediate layer is denominated as anti-matching layer.
Promotion of Low-Frequency Ultrasound Wave Propagation
For low-frequency ultrasonic wave, the direct bonding of the piezoelectric layers usually causes low wave t ransmission efficiency. In super-harmonic imaging, the fre­quency of receiving ultrasonic waves is at least three times of the transmitting wave. Therefore, the frequency-specific matching mechanism (like quarter-wavelength matching layer) does not match both f requencies. Matching layer in front of the high-frequency piezoelectric layer is usually designed to match the high-frequency wave because of its short wavelength and it is more sensitive to the thickness. In this case, the transmission efficiency is low without proper matching layer. Actually, both layers in front of the low-frequency piezoelectric layer, the high-frequency piezo­electric layer and the high-frequency matching layer, are thin and almost negligible for the low-frequency wave propagation. Consequently, the low-frequency ultrasonic wave suffers from low transmission efficiency.
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A properly designed low impedance layer sandwiched between the high impedance piezoelectric layers promotes the low-frequency ultrasonic wave trans­mission. This low impedance layer can be the same physical layer as the anti­matching layer for high-frequency ultrasonic wave. It functions oppositely for high–low ultrasonic waves, and is denominated as acoustic filter.
Microwave Analysis of Piezoelectric Transducers
Both microwave and mechanical wave (ultrasound) share the same wave propagation properties although they are in different field. General wave equation u(x , t) =
j (ωt −kx)
Ae
and refraction properties are also the same for both types of waves. The two waves could be studied together with shared theories and methods (Mason 1930).
Mass-spring-damper model in mechanical vibration is equivalent to the lumped element resistor–inductor–capacitor (RLC) circuit in electrical vibration (Fig. 5.4). Equivalences of the parameters are shown in Table 5.1. Lumped element analysis is usually used for conceptual design of transducers, but is not widely used for detailed parameters of the transducers.
+Be
j (ωt +kx)
applies for the propagating wave in both domains. Reflection
Fig. 5.4 a Lumped element equivalence of the dynamic behavior of the piezoelectric material, b the electrical equivalent circuit, and c impedance response of the vibrating system
Table 5.1 Equivalence
matching table
Mechanical properties Electromagnetic properties
Force Vo l t a g e
Velocity Current
Mass Inductance
Spring constant Inversion of capacitance (1/C)
Damping factor Resistance
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Fig. 5.5 Schematic diagram of transmission and reflection in a a three-layer structure and b its equivalent microwave transmission line
Continuous variations of strain and stress are the principal features of piezoelectric transducers, which is typically equivalent to a distributed circuit like transmission line for electromechanical wave. Electromechanical wave equations are defined as
2
∇
−
2
∇
−
2
∂
1
c
1
c
E = 0, (5.1)
2
2
∂t
2
∂
B = 0, (5.2)
2
2
∂t
where E and B are the electric field and magnetic field, respectively, and c is the wave speed in the medium defined as c = 1/ and dielectric constant in the medium.). Such wave equations are mathematically identical to a mechanical wave
where u is the particle displacement from still state and c is the sound speed defined as c =
√
E/ρ. Electromagnetic wave reflection coefficient is also identical as that for mechanical wave. The cascade transmission line theories could be applied to the ultrasound wave propagation in multiple layers.
A typical multi-layer wave propagation problem is a thin intermediate layer placed between two infinitely large media (Fig. 5.5a), and the equivalent circuit is a short section of transmission line connecting two infinitely long lines (Fig. 5.5b). If Z and Z03are long, then Z1= Z01and Z3= Z03. Neglecting the loss, the input impedance Z
is calculated as
in
∂
∂x
√
με (μ and ε are the magnetic permeability
2
u
2
∂2u
1
−
c
= 0, (5.3)
2
2
∂t
01