Comprehensive experimental assessments of rheological models’ performance in elastography of soft tissues

Poul, Sedigheh S.; Ormachea, Juvenal; Ge, Gary R.; Parker, Kevin J.

doi:10.1016/j.actbio.2022.04.047

Cited by 23 publications

(27 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the classical models did not provide an adequate fit to the stress relaxation data and were not able to represent the behaviour of the phantom during mechanical tests. The results of this study are in line with previous research that indicated that the simplicity of classical models does not adequately represent stressrelaxation behaviours (Murakami et al 2015, Poul et al 2022. Our results on the superiority of fractional derivative models for mechanical validation are in line with several studies using the stress-relaxation test utilising FD models (Zvietcovichet al 2017, Parker et al 2018.…”

Section: Discussionsupporting

confidence: 91%

“…This figure demonstrates that both the FD-KV and FD-Maxwell models maintained a median adjusted R V 2 value above 0.5. In particular, the FD-KV model had a value above 0.6 which is in agreement with previous study (Poul et al 2022). As such, FD-KV and FD-Maxwell models are better suited for characterizing the viscoelastic properties of plantar soft tissue while reducing the number of parameters or the degrees of freedom required by the model.…”

Section: Discussionsupporting

confidence: 90%

“…Hence, the values of h and m a from classical models and their fractional derivative versions, respectively, are not equal (Poul et al 2022). Furthermore, there are parameters that reach extreme values which seem to fall outside the physiological range.…”

Section: Discussionmentioning

confidence: 96%

See 2 more Smart Citations

Characterisation of the soft tissue viscous and elastic properties using ultrasound elastography and rheological models: validation and applications in plantar soft tissue assessment

et al. 2023

View full text Add to dashboard Cite

Objective: The mechanical behaviour of soft tissue is influenced by its elastic and viscous characteristics. Therefore, the aim of this study was to develop a protocol to characterise the viscoelastic properties of soft tissues based on ultrasound elastography data. Approach: Plantar soft tissue was chosen as the tissue of interest, and gelatine-phantoms replicating its mechanical properties were manufactured for validation of the protocol. Both plantar soft tissue and the phantom were scanned using Reverberant shear wave elastography at 400-600 Hz. Shear wave speed (SWS) was estimated using the US particle velocity data. The viscoelastic parameters were extracted by fitting the shear wave dispersion data to the Young’s modulus as a function of frequency derived from the constitutive equations of the eight rheological models (four classic and their fractional-derivative versions). Furthermore, stress-time functions derived from the eight rheological models were fitted to the phantom stress-relaxation data. Main results: The viscoelastic parameters estimated using elastography data based on the fractional-derivative (FD) models were closer to those quantified using the mechanical test. In addition, the FD-Maxwell and FD-Kelvin-Voigt models can more effectively replicate the viscoelastic behaviour of the plantar soft tissue with minimum number of model parameters (R^2 = 0.72 for both models) . Hence the FD-KV and FD-Maxwell models can more effectively quantify the viscoelastic characteristics of the soft tissue compared to other models. Significance: In this study, a method for mechanical characterisation of the viscoelastic properties of soft tissue in ultrasound elastography was developed and validated. An investigation into the most valid rheological model and its applications in plantar soft tissue assessment were also presented. This approach for the characterisation of viscous and elastic mechanical properties of soft tissue has implications in assessing the soft tissue function where those can be used as markers for diagnosis or prognosis of tissue status.

show abstract

Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 90%

See 1 more Smart Citation

Characterisation of the soft tissue viscous and elastic properties using ultrasound elastography and rheological models: validation and applications in plantar soft tissue assessment

et al. 2023

View full text Add to dashboard Cite

show abstract

“…A Butterworth bandpass filter (10–800 Hz) and a median filter (3λ × 3λ kernel) were applied to smoothen the particle velocity data. ,, Next, a 2D fast Fourier transform (FFT) of the shear wavefronts was performed, and the phase velocity (dispersion) curve was generated. To estimate the shear modulus and viscosity of each phantom, the phase velocity curve was fit to the Kelvin–Voigt (KV) model using least-squares nonlinear curve fitting based on the trust-region reflective algorithm. ,, Assuming a homogeneous, isotropic medium and the planar nature of shear waves within the ROI, the phase velocity ( c s ) based on the KV model is expressed as follows: c s ( f ) = 2 false( G 2 + false( 2 π f false) 2 η 2 false) ρ true( G + ( G 2 + ( 2 π f ) 2 η 2 ) true) where G is the shear modulus, ρ is the density, f is the frequency, and η is the viscosity. Shear modulus and viscosity estimates were obtained for five independent imaging planes of each phantom sample and five samples of each phantom type.…”

Section: Methodsmentioning

confidence: 99%

“…To estimate the shear modulus and viscosity of each phantom, the phase velocity curve was fit to the Kelvin−Voigt (KV) model using leastsquares nonlinear curve fitting based on the trust-region reflective algorithm. 15,25,26 Assuming a homogeneous, isotropic medium and the planar nature of shear waves within the ROI, the phase velocity (c s ) based on the KV model is expressed as follows: 27…”

Section: Cryoprotectant-based Pva Phantom Fabricationmentioning

confidence: 99%

Viscoelastic Characterization of Phantoms for Ultrasound Elastography Created Using Low- and High-Viscosity Poly(vinyl alcohol) with Ethylene Glycol as the Cryoprotectant

Bisht,

Marri,

Karmakar

et al. 2024

ACS Omega

View full text Add to dashboard Cite

Ultrasound elastography enables noninvasive characterization of the tissue mechanical properties. Phantoms are widely used in ultrasound elastography for developing, testing, and validating imaging techniques. Creating phantoms with a range of viscoelastic properties relevant to human organs and pathological conditions remains an active area of research. Poly(vinyl alcohol) (PVA) cryogel phantoms offer a long shelf life, robustness, and convenient handling and storage. The goal of this study was to develop tunable phantoms using PVA with a clinically relevant range of viscoelastic properties. We combined low-and high-viscosity PVA to tune the viscoelastic properties of the phantom. Further, phantoms were created with an ethylene glycol-based cryoprotectant to determine whether it reduces the variability in the viscoelastic properties. Scanning electron microscopy (SEM) was performed to evaluate the differences in microstructure between phantoms. The density, longitudinal sound speed, and acoustic attenuation spectra (5−20 MHz) of the phantoms were measured. The phantoms were characterized using a shear wave viscoelastography approach assuming the Kelvin−Voigt model. Microstructural differences were revealed by SEM between phantoms with and without a cryoprotectant and with different PVA mixtures. The longitudinal sound speed and attenuation power-law fit exponent of the phantoms were within the clinical range (1510−1571 m/s and 1.23−1.38, respectively). The measured shear modulus (G) ranged from 3.3 to 17.7 kPa, and the viscosity (η) ranged from 2.6 to 7.3 Pa•s. The phantoms with the cryoprotectant were more homogeneous and had lower shear modulus and viscosity (G = 2.17 ± 0.2 kPa; η = 2.0 ± 0.05 Pa•s) than those without a cryoprotectant (G = 3.93 ± 0.7 kPa; η = 2.6 ± 0.14 Pa•s). Notably, phantoms with relatively constant viscosities and varying shear moduli were achieved by this method. These findings advance the development of well-characterized viscoelastic phantoms for use in elastography.

show abstract

Mechanical properties of human hepatic tissues to develop liver-mimicking phantoms for medical applications

Lemine,

Ahmad,

Al-Thani

et al. 2023

Biomech Model Mechanobiol

View full text Add to dashboard Cite

Using liver phantoms for mimicking human tissue in clinical training, disease diagnosis, and treatment planning is a common practice. The fabrication material of the liver phantom should exhibit mechanical properties similar to those of the real liver organ in the human body. This tissue-equivalent material is essential for qualitative and quantitative investigation of the liver mechanisms in producing nutrients, excretion of waste metabolites, and tissue deformity at mechanical stimulus. This paper reviews the mechanical properties of human hepatic tissues to develop liver-mimicking phantoms. These properties include viscosity, elasticity, acoustic impedance, sound speed, and attenuation. The advantages and disadvantages of the most common fabrication materials for developing liver tissue-mimicking phantoms are also highlighted. Such phantoms will give a better insight into the real tissue damage during the disease progression and preservation for transplantation. The liver tissue-mimicking phantom will raise the quality assurance of patient diagnostic and treatment precision and offer a definitive clinical trial data collection.

show abstract

Comprehensive experimental assessments of rheological models’ performance in elastography of soft tissues

Cited by 23 publications

References 55 publications

Characterisation of the soft tissue viscous and elastic properties using ultrasound elastography and rheological models: validation and applications in plantar soft tissue assessment

Characterisation of the soft tissue viscous and elastic properties using ultrasound elastography and rheological models: validation and applications in plantar soft tissue assessment

Viscoelastic Characterization of Phantoms for Ultrasound Elastography Created Using Low- and High-Viscosity Poly(vinyl alcohol) with Ethylene Glycol as the Cryoprotectant

Mechanical properties of human hepatic tissues to develop liver-mimicking phantoms for medical applications

Contact Info

Product

Resources

About