A mathematical analysis of the influence of perfusion heterogeneity on indicator extraction

Thomas A. Bronikowski, John H. Linehan, Christopher A. Dawson*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The permeability–surface-area product (PS) of an organ having heterogeneous capillary transit times can be determined by the sudden-injection, multiple-indicator dilution method from the relationship 1n[CD(t)/CP(t)]=(PSc/Qc)τ(t), where CP and CD are the venous concentrations of the permeating and nonpermeating indicators, respectively, and Sc/Qc is the capillary surface-area-to-volume ratio, if the capillary transit-time function τ(t) is known. Rose and Goresky [12] analyzed the properties of τ(t) assuming that capillary and conducting-vessel transit times were coupled so that conducting vessels with short transit times serve capillaries with short transit times and conducting vessels with long transit times serve capillaries with long transit times (flow coupling). In this study, we examine the properties of τ(t) assuming random coupling of conducting vessels and capillaries by representing the organ as a convolution of the capillary transit-time distribution h(t) and the conducting-vessel transit-time distribution C(t). The results indicate that in such an organ τ(t) will be an increasing function bounded by the minimum and maximum capillary transit times and the duration of C(t). The analysis and simulations using typical h(t) and C(t) functions indicate that τ(t) can have similar properties regardless of whether flow coupling or random coupling of conducting and capillary vessels exists.

Original languageEnglish (US)
Pages (from-to)27-51
Number of pages25
JournalMathematical Biosciences
Volume52
Issue number1-2
DOIs
StatePublished - Jan 1 1980

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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