Your browser doesn't support javascript.
loading
A pragmatic approach to understand peripheral artery lumen surface stiffness due to plaque heterogeneity.
Neumann, Erica E; Young, Melissa; Erdemir, Ahmet.
  • Neumann EE; a Department of Biomedical Engineering , Lerner Research Institute, Cleveland Clinic , Cleveland , OH , USA.
  • Young M; b Computational Biomodeling (CoBi) Core, Lerner Research Institute , Cleveland Clinic , Cleveland , OH , USA.
  • Erdemir A; c Division of Cardiovascular Diseases , Mayo Clinic , Rochester , MN , USA.
Comput Methods Biomech Biomed Engin ; 22(4): 396-408, 2019 Mar.
Article en En | MEDLINE | ID: mdl-30712373
ABSTRACT
The goal of this study was to develop a pragmatic approach to build patient-specific models of the peripheral artery that are aware of plaque inhomogeneity. Patient-specific models using element-specific material definition (to understand the role of plaque composition) and homogeneous material definition (to understand the role of artery diameter and thickness) were automatically built from intravascular ultrasound images of three artery segments classified with low, average, and high calcification. The element-specific material models had average surface stiffness values of 0.0735, 0.0826, and 0.0973 MPa/mm, whereas the homogeneous material models had average surface stiffness values of 0.1392, 0.1276, and 0.1922 MPa/mm for low, average, and high calcification, respectively. Localization of peak lumen stiffness and differences in patient-specific average surface stiffness for homogeneous and element-specific models suggest the role of plaque composition on surface stiffness in addition to local arterial diameter and thickness.
Asunto(s)
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arterias / Placa Aterosclerótica Tipo de estudio: Diagnostic_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Año: 2019 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Arterias / Placa Aterosclerótica Tipo de estudio: Diagnostic_studies Límite: Aged / Female / Humans / Middle aged Idioma: En Año: 2019 Tipo del documento: Article