TY - JOUR
T1 - Investigating cerebral oedema using poroelasticity
AU - Vardakis, John C.
AU - Chou, Dean
AU - Tully, Brett J.
AU - Hung, Chang C.
AU - Lee, Tsong H.
AU - Tsui, Po Hsiang
AU - Ventikos, Yiannis
N1 - Funding Information:
This work is financially supported by the Digital Economy Programme (EP/G036861/1); a Research Councils UK cross-Council initiative led by the Engineering and Physical Sciences Research Council (EPSRC) and contributed to by AHRC, ESRC, and MRC. VPH-DARE@IT (FP7-ICT-2011-9-601055), a collaborative Research Project funded under the Co-operation specific programme of the Seventh Framework Programme of the European Union for research, technological development and demonstration activities, is also kindly acknowledged. The EPSRC is further acknowledged for providing the resources necessary for the High Performance Computing simulations conducted in this study, through Grant EP/F033710/1 . The ESI Group and Dr. M. Megahed are kindly acknowledged for allowing the use of the CFD-ACE+ multiphysics suite.
Publisher Copyright:
© 2015 The Authors.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Cerebral oedema can be classified as the tangible swelling produced by expansion of the interstitial fluid volume. Hydrocephalus can be succinctly described as the abnormal accumulation of cerebrospinal fluid (CSF) within the brain which ultimately leads to oedema within specific sites of parenchymal tissue. Using hydrocephalus as a test bed, one is able to account for the necessary mechanisms involved in the interaction between oedema formation and cerebral fluid production, transport and drainage. The current state of knowledge about integrative cerebral dynamics and transport phenomena indicates that poroelastic theory may provide a suitable framework to better understand various diseases. In this work, Multiple-Network Poroelastic Theory (MPET) is used to develop a novel spatio-temporal model of fluid regulation and tissue displacement within the various scales of the cerebral environment. The model is applied through two formats, a one-dimensional finite difference - Computational Fluid Dynamics (CFD) coupling framework, as well as a two-dimensional Finite Element Method (FEM) formulation. These are used to investigate the role of endoscopic fourth ventriculostomy in alleviating oedema formation due to fourth ventricle outlet obstruction (1D coupled model) in addition to observing the capability of the FEM template in capturing important characteristics allied to oedema formation, like for instance in the periventricular region (2D model).
AB - Cerebral oedema can be classified as the tangible swelling produced by expansion of the interstitial fluid volume. Hydrocephalus can be succinctly described as the abnormal accumulation of cerebrospinal fluid (CSF) within the brain which ultimately leads to oedema within specific sites of parenchymal tissue. Using hydrocephalus as a test bed, one is able to account for the necessary mechanisms involved in the interaction between oedema formation and cerebral fluid production, transport and drainage. The current state of knowledge about integrative cerebral dynamics and transport phenomena indicates that poroelastic theory may provide a suitable framework to better understand various diseases. In this work, Multiple-Network Poroelastic Theory (MPET) is used to develop a novel spatio-temporal model of fluid regulation and tissue displacement within the various scales of the cerebral environment. The model is applied through two formats, a one-dimensional finite difference - Computational Fluid Dynamics (CFD) coupling framework, as well as a two-dimensional Finite Element Method (FEM) formulation. These are used to investigate the role of endoscopic fourth ventriculostomy in alleviating oedema formation due to fourth ventricle outlet obstruction (1D coupled model) in addition to observing the capability of the FEM template in capturing important characteristics allied to oedema formation, like for instance in the periventricular region (2D model).
KW - Aquaporins
KW - Cerebral oedema
KW - Computational Fluid Dynamics
KW - Endoscopic ventriculostomy
KW - Finite Element Method
KW - Fourth Ventricular Outlet Obstruction
KW - Gliosis
KW - Hydrocephalus
KW - Intracranial Pressure
KW - Multiple-Network Poroelastic Theory
KW - Periventricular lucency
UR - https://www.scopus.com/pages/publications/84958917719
U2 - 10.1016/j.medengphy.2015.09.006
DO - 10.1016/j.medengphy.2015.09.006
M3 - Article
C2 - 26749338
AN - SCOPUS:84958917719
SN - 1350-4533
VL - 38
SP - 48
EP - 57
JO - Medical Engineering and Physics
JF - Medical Engineering and Physics
IS - 1
ER -