Modeling tissue perfusion in terms of 1d-3d embedded mixed-dimension coupled problems with distributed sources
Abstract
We present a new method for modeling tissue perfusion on the capillary scale. The microvasculature is represented by a network of one-dimensional vessel segments embedded in the extra-vascular space. Vascular and extra-vascular space exchange fluid over the vessel walls. This exchange is modeled by distributed sources using smooth kernel functions for the extra-vascular domain. It is shown that the proposed method may significantly improve the approximation of the exchange flux, in comparison with existing methods for mixed-dimension embedded problems. Furthermore, the method exhibits better convergence rates of the relevant quantities due to the increased regularity of the extra-vascular pressure solution. Numerical experiments with a vascular network from the rat cortex show that the error in the approximation of the exchange flux for coarse grid resolution may be decreased by a factor of . This may open the way for computing on larger network domains, where a fine grid resolution cannot be achieved in practical simulations due to constraints in computational resources, for example in the context of uncertainty quantification.
Cite
@article{arxiv.1905.03346,
title = {Modeling tissue perfusion in terms of 1d-3d embedded mixed-dimension coupled problems with distributed sources},
author = {Timo Koch and Martin Schneider and Rainer Helmig and Patrick Jenny},
journal= {arXiv preprint arXiv:1905.03346},
year = {2020}
}