Your browser doesn't support javascript.
loading
A fractal continuum model of the pulmonary arterial tree.
Krenz, G S; Linehan, J H; Dawson, C A.
Afiliación
  • Krenz GS; Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee 53233.
J Appl Physiol (1985) ; 72(6): 2225-37, 1992 Jun.
Article en En | MEDLINE | ID: mdl-1629077
ABSTRACT
The extant morphometric data from the intrapulmonary arteries of dog, human, and cat lungs produce graphs of the log of the vessel number, (N) or length (l) in each level vs. the log of the mean diameter (D) in each level that are sufficiently linear to suggest that a scale-independent self-similar or fractal structure may underlie the observed relationships. These data can be correlated by the following formulas Nj = a1Dj-beta 1, and lj = a2Dj beta 2, where j denotes the level (order or generation) number measured from the largest vessel at the entrance to the arterial tree to the smallest vessel at the entrance to the capillary bed. With the hemodynamic resistance (R) represented by Rj = 128 microliterj/(Nj pi Dj4) and the vascular volume (Q) by Qj = Nj pi Dj2lj/4, the continuous cumulative distribution of vascular resistance (Rcum) vs. cumulative vascular volume (Qcum) (where Rcum and Qcum represent the total resistance or volume, respectively, upstream from the jth level) can be calculated from [formula see text] where r = Dj/Dj+1 is a constant independent of j. Analogous equations are developed for the inertance and compliance distributions, providing simple formulas to represent the hemodynamic consequences of the pulmonary arterial tree structure.
Asunto(s)
Buscar en Google
Base de datos: MEDLINE Asunto principal: Arteria Pulmonar / Modelos Biológicos Idioma: En Revista: J Appl Physiol (1985) Asunto de la revista: FISIOLOGIA Año: 1992 Tipo del documento: Article
Buscar en Google
Base de datos: MEDLINE Asunto principal: Arteria Pulmonar / Modelos Biológicos Idioma: En Revista: J Appl Physiol (1985) Asunto de la revista: FISIOLOGIA Año: 1992 Tipo del documento: Article