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A pragmatic approach to understand peripheral artery lumen surface stiffness due to plaque heterogeneity.

Erica E NeumannMelissa YoungAhmet Erdemir
Published in: Computer methods in biomechanics and biomedical engineering (2019)
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.
Keyphrases
  • coronary artery disease
  • optical coherence tomography
  • chronic kidney disease
  • magnetic resonance imaging
  • study protocol
  • clinical trial
  • machine learning
  • optic nerve