Viscoelasticity and shear wave velocity of liver tissue evaluated by dynamic mechanical analysis

Murakami, Kenichi; Tsukune, Mariko; Kobayashi, Yo; Fujie, Masakatsu G.; Kishimoto, Riwa; Obata, Takayuki; Kawamura, Kiyoko; Yoshida, Kenji; Yamaguchi, Tadashi

doi:10.1109/ultsym.2015.0289

Cited by 2 publications

(5 citation statements)

References 8 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%

“…However, the differences found between the estimated parameters in the time and frequency domains can be explained by the dependency of the stress-relaxation tests. The results of these tests depend on the initial indentation rate and are sensitive to the loading process (Murakami et al 2015, Negishi et al 2020. Therefore, future mechanical tests that better replicate soft tissue deformation during weight-bearing activities of daily living may be more useful (Naemi and Chockalingam 2013, Behforootan et al 2017.…”

Section: Discussionmentioning

confidence: 99%

“…While the elastic properties represent the resistance of tissue to deformation, the viscous component represents its resistance dependent on the deformation rate. Hence, the Young's modulus of a tissue can be changed by varying combination of viscous and elastic characteristics or just by changes in one of them (Murakami et al 2015.…”

Section: Introductionmentioning

confidence: 99%

“…A more detailed overview of the estimation of viscoelastic properties can provide further understanding of the mechanical behaviour of tissues, with implications in the diagnosis and evaluation of treatments on the mechanical properties of soft tissues. It has been previously established that the characterization of viscoelasticity could be helpful for pathologies such as cancer (Zhang et al 2008, Ormachea et al 2019, fibrosis associated with liver cirrhosis (Murakami et al 2015, Miyake et al 2019, Ormachea et al 2019, Ormachea and Parker 2020, fatty liver (Murakami et al 2015), diabetes (Hsu et al 2007, Chao et al 2011, Negishi et al 2020, and atheroma (Ormachea and Parker 2020). Furthermore, characterisation of viscoelastic parameters can aid computational modelling, which provides further insight into the biomechanics of the tissue (Negishi et al 2020).…”

Section: Introductionmentioning

confidence: 99%

See 3 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: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

show abstract

“…In this study, sample effects represented random effects while species and log-transformed frequency were the fixed effects. The statistical models presented in this study can also be adopted to analyze the rheological data of phonosurgical biomaterials or other viscoelastic soft tissues such as liver (Kiss et al, 2004; Murakami et al, 2015; Nightingale et al, 2015), bladder (Barnes et al, 2015) and brain (Clayton et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

A mixed-effects model approach for the statistical analysis of vocal fold viscoelastic shear properties

Chan

Sun

et al. 2017

Journal of the Mechanical Behavior of Biomedical Materials

View full text Add to dashboard Cite

A mixed-effects model approach was introduced in this study for the statistical analysis of rheological data of vocal fold tissues, in order to account for the data correlation caused by multiple measurements of each tissue sample across the test frequency range. Such data correlation had often been overlooked in previous studies in the past decades. The viscoelastic shear properties of the vocal fold lamina propria of two commonly used laryngeal research animal species (i.e. rabbit, porcine) were measured by a linear, controlled-strain simple-shear rheometer. Along with published canine and human rheological data, the vocal fold viscoelastic shear moduli of these animal species were compared to those of human over a frequency range of 1-250Hz using the mixed-effects models. Our results indicated that tissues of the rabbit, canine and porcine vocal fold lamina propria were significantly stiffer and more viscous than those of human. Mixed-effects models were shown to be able to more accurately analyze rheological data generated from repeated measurements.

show abstract

Viscoelasticity and shear wave velocity of liver tissue evaluated by dynamic mechanical analysis

Cited by 2 publications

References 8 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

A mixed-effects model approach for the statistical analysis of vocal fold viscoelastic shear properties

Contact Info

Product

Resources

About