Literature DB >> 8779829

Relationship between structural and hemodynamic heterogeneity in microvascular networks.

A R Pries1, T W Secomb, P Gaehtgens.   

Abstract

The relationship between structural and hemodynamic heterogeneity of microvascular networks is examined by analyzing the effects of topological and geometric irregularities on network hemodynamics. Microscopic observations of a network in the rat mesentery provided data on length, diameter, and interconnection of all 913 segments. Two idealized network structures were derived from the observed network. In one, the topological structure was made symmetric; in another a further idealization was made by assigning equal lengths and diameters to all segments with topologically equivalent positions in the network. Blood flow through these three networks was simulated with a mathematical model based on experimental information on blood rheology. Overall network conductance and pressure distribution within the network were found to depend strongly on topological heterogeneity and less on geometric heterogeneity. In contrast, mean capillary hematocrit was sensitive to geometric heterogeneity but not to topological heterogeneity. Geometric and topological heterogeneity contributed equally to the dispersion of arteriovenous transit time. Hemodynamic characteristics of heterogeneous microvascular networks can only be adequately described if both topological and geometric variability in network structure are taken into account.

Entities:  

Mesh:

Year:  1996        PMID: 8779829     DOI: 10.1152/ajpheart.1996.270.2.H545

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  21 in total

1.  Accuracy of microvascular measurements obtained from micro-CT images.

Authors:  Timothy L Kline; Mair Zamir; Erik L Ritman
Journal:  Ann Biomed Eng       Date:  2010-05-11       Impact factor: 3.934

2.  Theoretical comparison of wall-derived and erythrocyte-derived mechanisms for metabolic flow regulation in heterogeneous microvascular networks.

Authors:  Tuhin K Roy; Axel R Pries; Timothy W Secomb
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-03-09       Impact factor: 4.733

3.  Cerebral blood flow modeling in primate cortex.

Authors:  Romain Guibert; Caroline Fonta; Franck Plouraboué
Journal:  J Cereb Blood Flow Metab       Date:  2010-07-21       Impact factor: 6.200

4.  Topological basis for the robust distribution of blood to rodent neocortex.

Authors:  Pablo Blinder; Andy Y Shih; Christopher Rafie; David Kleinfeld
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

5.  Theoretical model of metabolic blood flow regulation: roles of ATP release by red blood cells and conducted responses.

Authors:  Julia C Arciero; Brian E Carlson; Timothy W Secomb
Journal:  Am J Physiol Heart Circ Physiol       Date:  2008-08-08       Impact factor: 4.733

6.  The effects of transit time heterogeneity on brain oxygenation during rest and functional activation.

Authors:  Peter M Rasmussen; Sune N Jespersen; Leif Østergaard
Journal:  J Cereb Blood Flow Metab       Date:  2014-12-10       Impact factor: 6.200

7.  Myocardial Perfusion: Characteristics of Distal Intramyocardial Arteriolar Trees.

Authors:  Mair Zamir; Andrew J Vercnocke; Phillip K Edwards; Jill L Anderson; Steven M Jorgensen; Erik L Ritman
Journal:  Ann Biomed Eng       Date:  2015-05-08       Impact factor: 3.934

Review 8.  Applications of computational models to better understand microvascular remodelling: a focus on biomechanical integration across scales.

Authors:  Walter L Murfee; Richard S Sweat; Ken-Ichi Tsubota; Feilim Mac Gabhann; Damir Khismatullin; Shayn M Peirce
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

9.  Model-based inference from microvascular measurements: Combining experimental measurements and model predictions using a Bayesian probabilistic approach.

Authors:  Peter M Rasmussen; Amy F Smith; Sava Sakadžić; David A Boas; Axel R Pries; Timothy W Secomb; Leif Østergaard
Journal:  Microcirculation       Date:  2017-05       Impact factor: 2.628

10.  Modeling the hematocrit distribution in microcirculatory networks: A quantitative evaluation of a phase separation model.

Authors:  Peter M Rasmussen; Timothy W Secomb; Axel R Pries
Journal:  Microcirculation       Date:  2018-04       Impact factor: 2.628

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