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Poroelastic Modelling of CSF circulation via the incorporation of experimentally derived microscale water transport properties

Vardakis, IC; Guo, L; Chou, D; Tully, BJ; Vindedal, GF; Jensen, V; Thoren, AE; ... Ventikos, Y; + view all (2017) Poroelastic Modelling of CSF circulation via the incorporation of experimentally derived microscale water transport properties. In: Nithiarasu, P and Robertson, AM, (eds.) Proceedings of the 5th International Conference on Computational & Mathematical Biomedical Engineering (CMBE 2017), Volume 2. (pp. pp. 773-776). Zeta Computational Resources Ltd: Swansea, UK. Green open access

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Abstract

We outline how multicompartmental poroelasticity is applied to the study of dementia. We utilize a 3D version of our poroelastic code to investigate the effects within parenchymal tissue. This system is coupled with multiple pipelines within the VPH-DARE@IT project which account for patient/subject-specific boundary conditions in the arterial compartment, in addition to both an image segmentation-mesh and integrated cardiovascular system model pipeline respectively. This consolidated template allows for the extraction of boundary conditions to run CFD simulations for the ventricles. Finally, we outline some experimental results that will help inform the MPET system.

Type: Proceedings paper
Title: Poroelastic Modelling of CSF circulation via the incorporation of experimentally derived microscale water transport properties
Event: CMBE17: 5th International Conference on Computational & Mathematical Biomedical Engineering, 10 - 12 April 2017, Pittsburgh, USA
Location: Pittsburgh, USA
Dates: 10 April 2017 - 12 April 2017
ISBN-13: 9780956291448
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.compbiomed.net/2017/cmbe-proceedings.ht...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Dementia, Poroelasticity, Cerebrospinal Fluid, Glymphatic system, CFD, FEM
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/1573538
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