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Transit time kinetics in ordered and disordered vascular trees.

Raffi Karshafian1, Peter N Burns, Mark R Henkelman

  • 1Department of Medical Biophysics, University of Toronto, Sunnybrook & Women's College, Health Sciences Centre, Toronto, Ontario, Canada.

Physics in Medicine and Biology
|October 29, 2003
PubMed
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Tracer kinetics in imaging can reveal microvascular morphology beyond bulk flow and volume. Different vascular structures, like kidney versus tumor, produce distinct tracer curves, offering insights into network organization.

Area of Science:

  • Biomedical imaging
  • Medical physics
  • Computational biology

Background:

  • Imaging modalities use tracer-dilution to assess microcirculation hemodynamics.
  • Current methods primarily measure bulk blood flow and volume.
  • The potential for tracer kinetics to reveal vascular morphology remains underexplored.

Purpose of the Study:

  • To investigate if tracer kinetics can provide morphological information about microvascular networks.
  • To correlate time-intensity characteristics with sub-resolution vascular structure.
  • To differentiate between organized and disorganized vascular architectures using tracer dynamics.

Main Methods:

  • Development of two-dimensional fractal vascular models representing kidney-like and tumor-like structures.

Related Experiment Videos

  • Simulation of blood flow and tracer kinetics using fundamental hemodynamic laws.
  • Analysis of fractal box dimensions and tracer kinetic curves.

    • Main Results:

    • Fractal box dimensions for kidney (1.67±0.01) and tumor (1.80±0.01) vasculatures align with literature values.
    • Tracer kinetic curves exhibited identical initial slopes and final asymptotes, indicating matched flow rate and vascular volume.
    • Distinct forms of kinetic curves were observed, correlating with differences in vascular transit time distributions due to vessel diameter and length variations.

    Conclusions:

    • Tracer kinetic curve shape provides information beyond bulk hemodynamic parameters.
    • The form of the curve is influenced by the underlying microvascular network's organization and randomness.
    • Contrast imaging studies may offer insights into microvascular network architecture, not just flow and volume.