4.6 Article

Measured Hyperelastic Properties of Cervical Tissue with Shear-Wave Elastography

Journal

SENSORS
Volume 22, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/s22010302

Keywords

shear-wave elastography; hyperelastic materials; cervical tissue

Funding

  1. Dr Albert S McKern Research Scholarship

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This study proposes a simulation-based method to resolve the challenges in measuring the nonlinear properties of cervical tissue. The study describes the nonlinear behavior using hyperelastic material models and compares the performance of different models in fitting the elastograms. The use of hyperelastic material models improves the consistency of measurements and has potential applications in clinical settings, but further refinements are needed.
The nonlinear mechanical behaviour of cervical tissue causes unpredictable changes in measured elastograms when pressure is applied. These uncontrolled variables prevent the reliable measurement of tissue elasticity in a clinical setting. Measuring the nonlinear properties of tissue is difficult due to the need for both shear modulus and strain to be taken simultaneously. A simulation-based method is proposed in this paper to resolve this. This study describes the nonlinear behaviour of cervical tissue using the hyperelastic material models of Demiray-Fung and Veronda-Westmann. Elastograms from 33 low-risk patients between 18 and 22 weeks gestation were obtained. The average measured properties of the hyperelastic material models are: Demiray-Fung-A(1)alpha = 2.07 (1.65-2.58) kPa, alpha = 6.74 (4.07-19.55); Veronda-Westmann-C1C2 = 4.12 (3.24-5.04) kPa, C-2 = 4.86 (2.86-14.28). The Demiray-Fung and Veronda-Westmann models performed similarly in fitting to the elastograms with an average root mean square deviation of 0.41 and 0.47 ms-1, respectively. The use of hyperelastic material models to calibrate shear-wave speed measurements improved the consistency of measurements. This method could be applied in a large-scale clinical setting but requires updated models and higher data resolution.

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