Scholte wave generation during single tracking location shear wave elasticity imaging of engineered tissues

Mercado, Karla P.; Langdon, Jonathan; Helguera, María; McAleavey, Stephen A.; Hocking, Denise C.; Dalecki, Diane

doi:10.1121/1.4927633

Cited by 24 publications

(16 citation statements)

References 16 publications

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“…87 Another study employed single tracking location shear wave elasticity imaging for estimating shear moduli of cell-embedded collagen hydrogels. 88 Of note, this study also demonstrated that the generation of Scholte surface waves can confound the estimation of moduli near fluid-solid interfaces, as may occur when imaging engineered constructs within standard tissue culture plates. 88 Acoustic radiation force techniques were also used to image tissue displacements in thin tissue constructs.…”

Section: Elastographymentioning

confidence: 71%

Quantitative Ultrasound for Nondestructive Characterization of Engineered Tissues and Biomaterials

2015

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Non-invasive, non-destructive technologies for imaging and quantitatively monitoring the development of artificial tissues are critical for the advancement of tissue engineering. Current standard techniques for evaluating engineered tissues, including histology, biochemical assays and mechanical testing, are destructive approaches. Ultrasound is emerging as a valuable tool for imaging and quantitatively monitoring the properties of engineered tissues and biomaterials longitudinally during fabrication and post-implantation. Ultrasound techniques are rapid, non-invasive, non-destructive and can be easily integrated into sterile environments necessary for tissue engineering. Furthermore, high-frequency quantitative ultrasound techniques can enable volumetric characterization of the structural, biological, and mechanical properties of engineered tissues during fabrication and post-implantation. This review provides an overview of ultrasound imaging, quantitative ultrasound techniques, and elastography, with representative examples of applications of these ultrasound-based techniques to the field of tissue engineering.

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Section: Elastographymentioning

confidence: 71%

Quantitative Ultrasound for Nondestructive Characterization of Engineered Tissues and Biomaterials

2015

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“…Most important among these differences are the sample temperature and the boundary conditions. We previously showed that placement of target materials in a water media leads to generation of Scholte waves (Mercado et al, 2015). These surface waves travel at a fraction of the shear wave speed and corrupt stiffness measurements.…”

Section: Discussionmentioning

confidence: 99%

“…Scholte waves, described originally in Scholte (1949), are a source of measurement error in SWEI imaging (Mercado et al, 2015). The formulae in Vinh (2013) can be used to predict a surface wave speed at 84% of the shear wave speed for incompressible media at a solid-fluid interface.…”

Section: Methodsmentioning

confidence: 99%

“…Unlike in previous studies, we do not use a solid-solid boundary condition for our measurements as the time required to set samples in gelatin increases the coagulation following excision and typically requires the sample to cool to room temperature. However, this can lead to the production of a type of surface wave known as a Scholte wave that we previously examined in the setting of engineered tissue characterization (Mercado et al, 2015). Therefore, the effect of these surface waves on SWEI measurements of ex-vivo rat livers is also explored below.…”

Section: Introductionmentioning

confidence: 99%

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Measurement of Liver Stiffness Using Shear Wave Elastography in a Rat Model: Factors Impacting Stiffness Measurement with Multiple- and Single-Tracking-Location Techniques

Langdon

Elegbe

González

et al. 2017

Ultrasound in Medicine & Biology

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The clinical use of elastography for monitoring fibrosis progression is challenged by the subtle changes in liver stiffness associated with early stage fibrosis, and the comparatively large variance of stiffness estimates provided by elastography. Single Tracking Location Shear Wave Elasticity Imaging (STL-SWEI) is an ultrasound elastography technique that was previously demonstrated to provide improved estimate precision compared to Multiple Tracking Location (MTL) SWEI. As a result of improved precision, it is reasonable to expect that STL-SWEI would provide improved ability to differentiate liver fibrosis stage compared to MTL-SWEI. However, this expectation has not been previously challenged rigorously. In this work, the performance of STL- and MTL-SWEI in the setting of a rat model of liver fibrosis is characterized and the advantages of STL-SWEI in staging fibrosis are explored. The purpose of this study is to determine what advantages, if any, arise from utilizing STL-SWEI instead of MTL-SWEI in the characterization of fibrotic liver. Thus, the ability of STL-SWEI to differentiate livers at various METAVIR fibrosis scores, for ex vivo, post-mortem measurements, is explored. In addition, we examine the effect of the common confounding factor of fluid versus solid boundary conditions in SWEI experiments. Sprague-Dawley rats are treated with carbon tetrachloride over several weeks to produce liver disease of varying severity. STL and MTL stiffness measurements were performed ex vivo and compared to the METAVIR score from histological analysis and the duration of treatment. A strong association was observed between liver stiffness and weeks of treatment with the liver toxin carbon tetrachloride. Direct comparison of STL- and MTL-SWEI measurements show no significant difference in ability to differentiate fibrosis stages based on SWEI image mean values. However, image interquartile range is greatly improved in the case of STL-SWEI imaging compared to MTL-SWEI at small beam spacings.

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“…For the group velocity analysis (discarding 5 data points), this is mainly due to the difference in the shear wave propagation pattern at the upper and lower boundaries of the phantom (±0-25% and ±75-100% depth) compared to the middle segment of the phantom (±25-75% depth), as visible in Figure S1. This group speed-derived stiffness difference between the boundaries and center of a tissue-mimicking medium was experimentally studied by Mercado et al [44], in which they identified the presence of Scholte surface waves at the fluid-solid interface as the primary reason for this discrepancy. For the phase velocity analysis, the cause of the depth-dependency of the stiffness estimates is less straightforward, as the extracted frequency characteristics of the primary mode across depth were very similar (see Figure 5).…”

Section: Effect Of Ultrafast Imaging On Swe In the Studied Left Ventrmentioning

confidence: 99%

Effect of Ultrafast Imaging on Shear Wave Visualization and Characterization: An Experimental and Computational Study in a Pediatric Ventricular Model

et al. 2017

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Plane wave imaging in Shear Wave Elastography (SWE) captures shear wave propagation in real-time at ultrafast frame rates. To assess the capability of this technique in accurately visualizing the underlying shear wave mechanics, this work presents a multiphysics modeling approach providing access to the true biomechanical wave propagation behind the virtual image. This methodology was applied to a pediatric ventricular model, a setting shown to induce complex shear wave propagation due to geometry. Phantom experiments are conducted in support of the simulations. The model revealed that plane wave imaging altered the visualization of the shear wave pattern in the time (broadened front and negatively biased velocity estimates) and frequency domain (shifted and/or decreased signal frequency content). Furthermore, coherent plane wave compounding (effective frame rate of 2.3 kHz) altered the visual appearance of shear wave dispersion in both the experiment and model. This mainly affected stiffness characterization based on group speed, whereas phase velocity analysis provided a more accurate and robust stiffness estimate independent of the use of the compounding technique. This paper thus presents a versatile and flexible simulation environment to identify potential pitfalls in accurately capturing shear wave propagation in dispersive settings.

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Scholte wave generation during single tracking location shear wave elasticity imaging of engineered tissues

Cited by 24 publications

References 16 publications

Quantitative Ultrasound for Nondestructive Characterization of Engineered Tissues and Biomaterials

Quantitative Ultrasound for Nondestructive Characterization of Engineered Tissues and Biomaterials

Measurement of Liver Stiffness Using Shear Wave Elastography in a Rat Model: Factors Impacting Stiffness Measurement with Multiple- and Single-Tracking-Location Techniques

Effect of Ultrafast Imaging on Shear Wave Visualization and Characterization: An Experimental and Computational Study in a Pediatric Ventricular Model

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