Incorporating heterogeneity and anisotropy for surgical applications in breast deformation modeling

Ringel, Morgan J.; Richey, Winona L.; Heiselman, Jon S.; Meszoely, Ingrid M.; Miga, Michael I.

doi:10.1016/j.clinbiomech.2023.105927

Cited by 2 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Biomechanical modelling can also lead to designing tools that minimise the loading and tissue damage [ 13 , 14 ]. Biomechanical models are also employed in automotive safety research to understand damage to organs in impact [ 15 , 16 , 17 ], sports injuries [ 18 ] and elastography methods [ 19 , 20 , 21 ]. The key parameters considered in the biomechanical modelling of porcine kidney in our study were mechanical properties and tissue deformation.…”

Section: Introductionmentioning

confidence: 99%

Biomechanical Modelling of Porcine Kidney

Mishra,

Cleveland

2024

Bioengineering

View full text Add to dashboard Cite

In this study, the viscoelastic properties of porcine kidney in the upper, middle and lower poles were investigated using oscillatory shear tests. The viscoelastic properties were extracted in the form of the storage modulus and loss modulus in the frequency and time domain. Measurements were taken as a function of frequency from 0.1 Hz to 6.5 Hz at a shear strain amplitude of 0.01 and as function of strain amplitude from 0.001 to 0.1 at a frequency of 1 Hz. Measurements were also taken in the time domain in response to a step shear strain. Both the frequency and time domain data were fitted to a conventional Standard Linear Solid (SLS) model and a semi-fractional Kelvin–Voigt (SFKV) model with a comparable number of parameters. The SFKV model fitted the frequency and time domain data with a correlation coefficient of 0.99. Although the SLS model well fitted the time domain data and the storage modulus data in the frequency domain, it was not able to capture the variation in loss modulus with frequency with a correlation coefficient of 0.53. A five parameter Maxwell–Wiechert model was able to capture the frequency dependence in storage modulus and loss modulus better than the SLS model with a correlation of 0.85.

show abstract