title: Input impedance and reflection coefficient in fractal-like models of asymmetrically branching compliant tubes.
abstract: A mathematical model is described, based on linear transmission line theory, for the computation of hydraulic input impedance spectra in complex, dichotomously branching networks similar to mammalian arterial systems. Conceptually, the networks are constructed from a discretized set of self-similar compliant tubes whose dimensions are described by an integer power law. The model allows specification of the branching geometry, i.e., the daughter-parent branch area ratio and the daughter-daughter area asymmetry ratio, as functions of vessel size. Characteristic impedances of individual vessels are described by linear theory for a fully constrained thick-walled elastic tube. Besides termination impedances and fluid density and viscosity, other model parameters included relative vessel length and phase velocity, each as a function of vessel size (elastic nonuniformity). The primary goal of the study was to examine systematically the effect of fractal branching asymmetry, both degree and location within the network, on the complex input impedance spectrum and reflection coefficient. With progressive branching asymmetry, fractal model spectra exhibit some of the features inherent in natural arterial systems such as the loss of prominent, regularly-occurring maxima and minima; the effect is most apparent at higher frequencies. Marked reduction of the reflection coefficient occurs, due to disparities in wave path length, when branching is asymmetric. Because of path length differences, branching asymmetry near the system input has a far greater effect on minimizing spectrum oscillations and reflections than downstream asymmetry. Fractal-like constructs suggest a means by which arterial trees of realistic complexity might be described, both structurally and functionally.
authors.affiliation: Department of Medicine, Tufts University School of Veterinary Medicine, North Grafton, MA 01536, USA. dbrown@infonet.tufts.edu
authors.forename: D J
authors.initials: DJ
authors.lastname: Brown
mesh_terms: D001158:Arteries / Q000033:anatomy & histology / Q000502:physiology*; D003187:Compliance; D003198:Computer Simulation; D017097:Electric Impedance; D017709:Fractals; D008955:Models, Cardiovascular