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Updated: Aug 3, 2026

Mechanical Testing of Mouse Carotid Arteries: from Newborn to Adult
Published on: February 23, 2012
In Vivo Material Properties of Human Common Carotid Arteries: Trends and Sex Differences
Marija Smoljkić1,2, Jos Vander Sloten1, Patrick Segers3
1Biomechanics Section, Mechanical Engineering Department, KU Leuven, Celestijnenlaan 300C, 3001, Heverlee, Leuven, Belgium.
Introduction:
In vivo estimation of material properties of arterial tissue can provide essential insights into the development and progression of cardiovascular diseases. Furthermore, these properties can be used as an input to finite element simulations of potential medical treatments.
Materials And Methods:
This study uses non-invasively measured pressure, diameter and wall thickness of human common carotid arteries (CCAs) acquired in 103 healthy subjects. A non-linear optimization was performed to estimate material parameters of two different constitutive models: a phenomenological, isotropic model and a structural, anisotropic model. The effect of age, sex, body mass index and blood pressure on the parameters was investigated.
Results And Conclusion:
Although both material models were able to model in vivo arterial behaviour, the structural model provided more realistic results in the supra-physiological domain. The phenomenological model predicted very high deformations for pressures above the systolic level. However, the phenomenological model has fewer parameters that were shown to be more robust. This is an advantage when only the physiological domain is of interest. The effect of stiffening with age, BMI and blood pressure was present for women, but not always for men. In general, sex had the biggest effect on the mechanical properties of CCAs. Stiffening trends with age, BMI and blood pressure were present but not very strong. The intersubject variability was high. Therefore, it can be concluded that finding a representative set of parameters for a certain age or BMI group would be very challenging. Instead, for purposes of patient-specific modelling of surgical procedures, we currently advise the use of patient-specific parameters.
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