Reduced-order modeling of hemodynamics across macroscopic through mesoscopic circulation scales.

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ID: 91520
2019
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Ranked #3 of 6 articles by views in international journal for numerical methods in biomedical engineering

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Abstract
We propose a hemodynamic reduced-order model bridging macroscopic and mesoscopic blood flow circulation scales from arteries to capillaries. In silico tree-like vascular geometries, mathematically described by graphs, are synthetically generated by means of stochastic growth algorithms constrained by statistical morphological and topological principles. Scale-specific pruning gradation of the tree is then proposed in order to fit computational budget requirement. Different compliant structural models with respect to pressure loads are used depending on vessel walls thicknesses and structures, which vary considerably from macroscopic to mesoscopic circulation scales. Nonlinear rheological properties of blood are also included, and microcirculation network responses are computed for different rheologies. Numerical results are in very good agreement with available experimental measurements. The computational model captures the dynamic transition between large- to small-scale flow pulsatility speeds and magnitudes and wall shear stresses, which have wide-ranging physiological influences.
Reference Key
adjoua2019reducedorderinternational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Adjoua, Olivier;Pitre-Champagnat, Stéphanie;Lucor, Didier;
Journal international journal for numerical methods in biomedical engineering
Year 2019
DOI
10.1002/cnm.3274
URL
Keywords
hemodynamics multiscale microcirculation fårhaeus-lindqvist effect pulsatility reduced-order modeling

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