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Related Experiment Videos

Perfusion effects and hydrodynamics.

Robert A Peattie1, Robert J Fisher

  • 1Department of Chemical Engineering, 102 Gleeson Hall, Oregon State University, Corvallis, OR 97331, USA. peattie@engr.orst.edu

Advances in Biochemical Engineering/Biotechnology
|January 2, 2007
PubMed
Summary
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Understanding fluid dynamics is crucial for tissue engineering. This study summarizes hemodynamic principles and highlights computational fluid dynamics (CFD) and neural networks (NN) for analyzing flow-induced events in biological systems.

Area of Science:

  • Biomedical Engineering
  • Fluid Dynamics
  • Computational Biology

Background:

  • Biological processes are heavily influenced by fluid and gas motion.
  • Tissue engineers require a deep understanding of hydrodynamic phenomena for both in vitro and in vivo applications.
  • Perfusion effects at the organ level and their relation to the cellular microenvironment are key to mimicking tissue behavior.

Purpose of the Study:

  • To summarize major principles of hemodynamic flow and transport.
  • To provide a physical understanding of fluid dynamics in biological systems.
  • To emphasize the utility of computational fluid dynamics (CFD) and neural networking (NN) models.

Main Methods:

  • Review and summarization of hemodynamic flow and transport principles.

Related Experiment Videos

  • Discussion of experimental limitations in quantifying hemodynamic events.
  • Application of computational fluid dynamics (CFD) and neural networking (NN) models.

    • Main Results:

    • Key principles of hemodynamic flow and transport are elucidated.
    • The benefits of CFD and NN models for hemodynamic analysis are highlighted.
    • A case study on aortic aneurysms demonstrates the practical application of these methods.

    Conclusions:

    • A robust understanding of fluid dynamics is essential for advancements in tissue engineering.
    • CFD and NN models offer powerful, cost-effective alternatives to invasive experimental techniques.
    • Analyzing flow-induced events, such as in aortic aneurysms, is critical for understanding tissue responses.