Image-based computational fluid dynamics modeling for cardiovascular applications.

  • Kodea:14271
  • Izen osoa: Carnegie Mellon University / Image-based computational fluid dynamics modeling for cardiovascular applications. / ESTADOS UNIDOS DE AMERICA / PITTSBURGH
  • Herrialdea: ESTADOS UNIDOS DE AMERICA
  • Udala: PITTSBURGH
  • Erakundea: Carnegie Mellon University
  • Kontratu mota: Beca
  • Iraupena: 6 MESES
  • Hileko soldata: 1635
  • Oharrak: PROJECT 1: Computational modeling of coronary artery blood flow: Comparison between simulation-based fractional flow reserve and instantaneous wave-free ratio. Coronary artery disease is caused by cholesterol plaque buildup in the wall of the arteries that supply blood to the heart, the coronary arteries. In this project, the student will employ computational fluid dynamics (CFD) to simulate blood flow in diseased coronary arteries. Fractional flow reserve and instantaneous wave-free ratio are two hemodynamic metrics that can be employed to evaluate the significance of the stenosis (vessel narrowing due to plaque buildup). These metrics are based on invasive pressure measurements but can also be estimated from computational fluid dynamics (CFD) simulation results. The student working on this project will perform CFD simulations on a set of coronary artery models. They will build the three-dimensional models representative of healthy and diseased vascular segments, generate the computational mesh, and define physiological boundary conditions using specialized software. The simulations will be performed using high-performance computing hardware. The results will be post-processed to estimate fractional flow reserve and instantaneous wave-free ratio. The goals of this project are a) to compare the two metrics and determine if they provide a similar risk classification on various coronary anatomies and b) to identify cases where these metrics may significantly differ.
    PROJECT 2: Optimization of boundary condition selection for cardiovascular blood flow simulations.
    The student working on this project will perform a series of three-dimensional CFD simulations on three vascular structures (the aorta, coronary arteries, and the circle of Willis) to support the development of an optimization algorithm for efficient and accurate boundary condition selection in cardiovascular simulations. They will also contribute to the design of reduced-order flow models that can speed up the optimization process. The student will test the optimization algorithm on patient-specific vasculatures and analyze its efficiency and accuracy.
  • Maila akademikoa: Licenciatura o Grado (C5-8)
  • Data altua: 2024-05-23
  • Hasierako data: 2024-06-17
  • Titulazioa: Ingeniería Mecánica, Ingeniería Biomédica, Ingenieria Aeroespacial
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