TY - JOUR
T1 - A multiple-network poroelastic model for biological systems and application to subject-specific modelling of cerebral fluid transport
AU - Guo, Liwei
AU - Vardakis, John C.
AU - Chou, Dean
AU - Ventikos, Yiannis
N1 - Funding Information:
Funding: This work was supported by the European Commission FP7 project VPH-DARE@IT (FP7-ICT-2011-9-601055). We would like to thank our collaborators in the consortium. We want to thank Dr T. Lassila, Dr A. Sarrami-Foroushani, Dr N. Ravikumar, Dr M. Lange, Dr Z. A. Taylor, Dr S. Varma and Prof. A. F. Frangi from the University of Leeds for developing the models to generate subject-specific boundary conditions and meshes with permeability information, and the integrated workflows. We would like to thank Dr M. Mitolo from IRCCS San Camillo Foundation Hospital in Venice and Prof. A. Venneri from the University of Sheffield for providing the clinical data for subject-specific applications. We want to thank Dr K. H. Pettersen and Prof. E. A. Nagelhus from the University of Oslo for providing the experimental data of infusion tests. We also want to thank Dr J. Willems and Dr M. Megahed from the ESI Group for the valuable discussions.
Funding Information:
Funding: This work was supported by the European Commission FP7 project VPH-DARE@IT (FP7-ICT-2011-9-601055). We would like to thank our collaborators in the consortium. We want to thank Dr T. Lassila, Dr A. Sarrami-Foroushani, Dr N. Ravikumar, Dr M. Lange, Dr Z. A. Taylor, Dr S. Varma and Prof. A. F. Frangi from the University of Leeds for developing the models to generate subject-specific boundary conditions and meshes with permeability information, and the integrated workflows. We would like to thank Dr M. Mitolo from IRCCS San Camillo Foundation Hospital in Venice and Prof. A. Venneri from the University of Sheffield for providing the clinical data for subject-specific applications. We want to thank Dr K. H. Pettersen and Prof. E. A. Nagelhus from the University of Oslo for providing the experimental data of infusion tests. We also want to thank Dr J. Willems and Dr M. Megahed from the ESI Group for the valuable discussions.
PY - 2020/2
Y1 - 2020/2
N2 - Biological tissue can be viewed as porous, permeable and deformable media infiltrated by fluids, such as blood and interstitial fluid. A finite element model has been developed based on the multiple-network poroelastic theory to investigate transport phenomenon in such biological systems. The governing equations and boundary conditions are adapted for the cerebral environment as an example. The numerical model is verified against analytical solutions of classical consolidation problems and validated using experimental data of infusion tests. It is then applied to three-dimensional subject-specific modelling of brain, including anatomically realistic geometry, personalised permeability map and arterial blood supply to the brain. Numerical results of smoking and non-smoking subjects show hypoperfusion in the brains of smoking subjects, which also demonstrate that the numerical model is capable of capturing spatio-temporal fluid transport in biological systems across different scales.
AB - Biological tissue can be viewed as porous, permeable and deformable media infiltrated by fluids, such as blood and interstitial fluid. A finite element model has been developed based on the multiple-network poroelastic theory to investigate transport phenomenon in such biological systems. The governing equations and boundary conditions are adapted for the cerebral environment as an example. The numerical model is verified against analytical solutions of classical consolidation problems and validated using experimental data of infusion tests. It is then applied to three-dimensional subject-specific modelling of brain, including anatomically realistic geometry, personalised permeability map and arterial blood supply to the brain. Numerical results of smoking and non-smoking subjects show hypoperfusion in the brains of smoking subjects, which also demonstrate that the numerical model is capable of capturing spatio-temporal fluid transport in biological systems across different scales.
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U2 - 10.1016/j.ijengsci.2019.103204
DO - 10.1016/j.ijengsci.2019.103204
M3 - Article
AN - SCOPUS:85077032196
VL - 147
JO - International Journal of Engineering Science
JF - International Journal of Engineering Science
SN - 0020-7225
M1 - 103204
ER -