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Related Experiment Videos

Modelling pulmonary blood flow.

Merryn H Tawhai1, Kelly S Burrowes

  • 1Auckland Bioengineering Institute, University of Auckland, Private Bag 92019, Auckland 1010, New Zealand. m.tawhai@auckland.ac.nz

Respiratory Physiology & Neurobiology
|April 25, 2008
PubMed
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Computational models help understand complex pulmonary blood flow. This review covers various modeling approaches for lung perfusion, highlighting methods for microcirculation and arterial flows to explain heterogeneity.

Area of Science:

  • Pulmonary physiology
  • Computational biology
  • Biomedical engineering

Background:

  • Pulmonary blood transport is complex, involving multi-scale interactions dependent on vascular structure and function.
  • Understanding regional lung perfusion requires accounting for interactions with lung tissue, hydrostatic pressure, and vascular tree topology.
  • Flow heterogeneity in the lungs is influenced by various physiological mechanisms.

Purpose of the Study:

  • To review computational models used to study mechanisms of regional lung perfusion.
  • To examine different modeling approaches for pulmonary microcirculation and arterial flows.
  • To illustrate complementary methods for addressing pulmonary flow heterogeneity.

Main Methods:

  • Analysis of computational models for pulmonary blood transport.

Related Experiment Videos

  • Consideration of scale-dependent models for microcirculation, arterial, and venous flows.
  • Review of fractal and anatomically-based modeling approaches.

    • Main Results:

    • Computational models offer insights into the complexity of pulmonary blood transport.
    • Different models are required for various scales within the pulmonary system.
    • Various modeling techniques can be applied to study lung perfusion mechanisms.

    Conclusions:

    • Computational modeling is crucial for interpreting pulmonary system interactions.
    • A multi-scale approach is necessary for accurate pulmonary blood transport modeling.
    • Complementary modeling strategies effectively address lung flow heterogeneity.