A Multiscale Computational Modeling for Cerebral Blood Flow With Aneurysms and/or Stenoses
Document Type
Article
Publication Date
10-1-2018
Identifier/URL
42935822 (Pure); 29968364 (PubMed)
Abstract
A 1-dimensional (1D)-3-dimensional (3D) multiscale model for the human vascular network was proposed by combining a low-fidelity 1D modeling of blood circulation to account for the global hemodynamics with a detailed 3D simulation of a zonal vascular segment. The coupling approach involves a direct exchange of flow and pressure information at interfaces between the 1D and 3D models and thus enables patient-specific morphological models to be inserted into flow network with minimum computational efforts. The proposed method was validated with good agreements against 3 simplified test cases where experimental data and/or full 3D numerical solution were available. The application of the method in aneurysm and stenosis studies indicated that the deformation of the geometry caused by the diseases may change local pressure loss and as a consequence lead to an alteration of flow rate to the vessel segment.
Repository Citation
Yu, H.,
Huang, G.,
Yang, Z.,
& Ludwig, B.
(2018). A Multiscale Computational Modeling for Cerebral Blood Flow With Aneurysms and/or Stenoses. International Journal for Numerical Methods in Biomedical Engineering, 34 (10).
https://corescholar.libraries.wright.edu/mme/587
DOI
10.1002/cnm.3127
