Your browser doesn't support javascript.
loading
Determination of Viscoelastic Properties of human Carotid Atherosclerotic Plaque by Inverse Boundary Value Analysis.
Leng, Xiaochang; Zhou, Boran; Deng, Xiaomin; Davis, Lindsey; Sutton, Michael A; Shazly, Tarek; Lessner, Susan M.
Afiliação
  • Leng X; Institute of Engineering Mechanics, Nanchang University, Jiangxi, 330031, People's Republic of China.
  • Zhou B; Department of Radiology, Mayo Clinic, Rochester, MN 55905.
  • Deng X; College of Engineering and Computing, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208.
  • Davis L; College of Engineering and Computing, Biomedical Engineering Program, University of South Carolina, Columbia, SC 29208.
  • Sutton MA; College of Engineering and Computing, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208.
  • Shazly T; College of Engineering and Computing, Biomedical Engineering Program, University of South Carolina, Columbia, SC 29208.
  • Lessner SM; College of Engineering and Computing, Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208.
Article em En | MEDLINE | ID: mdl-31156719
ABSTRACT
In this study, we assessed the mechanical response of samples from human atherosclerotic diseased media and fibrous cap via uniaxial tensile testing. Results show a pronounced hysteresis phenomenon caused by viscoelasticity during the loading-unloading process. An inverse analysis method with finite element modeling was employed to identify the material parameter values for a viscoelastic anisotropic (VA) constitutive model through matching simulation predictions of load-displacement curves with experimental measurements. The identified material parameter values can be used in simulation studies of diseased human carotid arteries, including investigations of inflation processes associated with stenting or angioplasty.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IOP Conf Ser Mater Sci Eng Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IOP Conf Ser Mater Sci Eng Ano de publicação: 2018 Tipo de documento: Article