Parameterisation of multi-scale continuum perfusion models from discrete vascular networks.
Parameterisation of multi-scale continuum perfusion models from discrete vascular networks.
复制标题
来自离散血管网络的多尺度连续灌注模型的参数化。
DOI:
10.1007/s11517-012-1025-2
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发表时间:
2013-05
影响因子:
3.2
通讯作者:
Smith, Nicolas P.
中科院分区:
文献类型:
--
作者:
Hyde, Eoin R.;Michler, Christian;Lee, Jack;Cookson, Andrew N.;Chabiniok, Radek;Nordsletten, David A.;Smith, Nicolas P.
Experimental data and advanced imaging techniques are increasingly enabling the extraction of detailed vascular anatomy from biological tissues. Incorporation of anatomical data within perfusion models is non-trivial, due to heterogeneous vessel density and disparate radii scales. Furthermore, previous idealised networks have assumed a spatially repeating motif or periodic canonical cell, thereby allowing for a flow solution via homogenisation. However, such periodicity is not observed throughout anatomical networks. In this study, we apply various spatial averaging methods to discrete vascular geometries in order to parameterise a continuum model of perfusion. Specifically, a multi-compartment Darcy model was used to provide vascular scale separation for the fluid flow. Permeability tensor fields were derived from both synthetic and anatomically realistic networks using (1) porosity-scaled isotropic, (2) Huyghe and Van Campen, and (3) projected-PCA methods. The Darcy pressure fields were compared via a root-mean-square error metric to an averaged Poiseuille pressure solution over the same domain. The method of Huyghe and Van Campen performed better than the other two methods in all simulations, even for relatively coarse networks. Furthermore, inter-compartment volumetric flux fields, determined using the spatially averaged discrete flux per unit pressure difference, were shown to be accurate across a range of pressure boundary conditions. This work justifies the application of continuum flow models to characterise perfusion resulting from flow in an underlying vascular network.
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影响因子:
2.4
作者:
Cookson AN;Lee J;Michler C;Chabiniok R;Hyde E;Nordsletten DA;Sinclair M;Siebes M;Smith NP
通讯作者:
Smith NP
DOI:
10.1098/rsta.2008.0311
发表时间:
2009-06-13
影响因子:
5
作者:
Lee, Jack;Niederer, Steven;Smith, Nicolas
通讯作者:
Smith, Nicolas
影响因子:
--
作者:
HUYGHE, JM;ARTS, T;RENEMAN, RS
通讯作者:
RENEMAN, RS
影响因子:
2.1
作者:
Liao, Rui;Luc, Duong;Kirchberg, Klaus
通讯作者:
Kirchberg, Klaus
影响因子:
2.5
作者:
Sands, GB;Gerneke, DA;Legrice, IJ
通讯作者:
Legrice, IJ