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2018
DOI: 10.1002/cnm.3165
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A computational model for microcirculation including Fahraeus‐Lindqvist effect, plasma skimming and fluid exchange with the tissue interstitium

Abstract: We present a two phase model for microcirculation that describes the interaction of plasma with red blood cells. The model takes into account of typical effects characterizing the microcirculation, such as the Fahraeus-Lindqvist effect and plasma skimming. Besides these features, the model describes the interaction of capillaries with the surrounding tissue. More precisely, the model accounts for the interaction of capillary transmural flow with the surrounding interstitial pressure. Furthermore, the capillari… Show more

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Cited by 34 publications
(67 citation statements)
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References 62 publications
(87 reference statements)
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“…The model described the flow within the gel by means of Darcy's equation, and the flow in the MVNs with the Poiseuille equation for laminar, fully developed flow, taking into account network junctions, and filtration through the capillary membrane, which was described by Equation . The model was solved by means of the finite element method using the GetFem++ software, as previously shown . The MVNs (1/4 of the length of the device, repeated spatially) were reconstructed from confocal images using the FIJI “skeletonize” function to compute the skeleton of the network.…”
Section: Methodsmentioning
confidence: 99%
“…The model described the flow within the gel by means of Darcy's equation, and the flow in the MVNs with the Poiseuille equation for laminar, fully developed flow, taking into account network junctions, and filtration through the capillary membrane, which was described by Equation . The model was solved by means of the finite element method using the GetFem++ software, as previously shown . The MVNs (1/4 of the length of the device, repeated spatially) were reconstructed from confocal images using the FIJI “skeletonize” function to compute the skeleton of the network.…”
Section: Methodsmentioning
confidence: 99%
“…Despite this fact, in many publications that are concerned with modelling of blood flow in microvascular networks, blood is considered as an incompressible fluid. 8,25,32,40,41 (A3) The non-Newtonian flow behaviour is accounted for by an algebraic relationship.…”
Section: Basic Modelling Assumptionsmentioning
confidence: 99%
“…In order to model flow within the tissue, we do not use pore network models 43 that attempt to resolve each pore and pore throat, but we apply homogenised or REV-based flow models such as Darcy's law. 8,44,45 In this context, it is assumed that the parameters characterising the porous structure like porosity and permeability are constant. Since we do not have any information on the tissue surrounding the given network, we assume that the porosity is constant and that the permeability tensor is diagonal and isotropic with constant values.…”
Section: Basic Modelling Assumptionsmentioning
confidence: 99%
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“…A recent study describes contrast agent perfusion based on diffusive transport with a mixed‐dimension model. The herein presented fluid‐mechanical model is similar to the drug proliferation model described in Cattaneo and Zunino and introduced in Possenti et al It is derived here for the specific application of contrast agent perfusion in brain tissue. The mathematical background of such models is analyzed in several works …”
Section: Introductionmentioning
confidence: 99%