Multi-fluid Poro-Elastic Modelling of the CSF Infusion Test

  • I. Sobey
  • A. Eisenträger
  • B. Wirth
  • M. Czosnyka
Conference paper

DOI: 10.1007/978-3-642-14515-5_93

Part of the IFMBE Proceedings book series (IFMBE, volume 31)
Cite this paper as:
Sobey I., Eisenträger A., Wirth B., Czosnyka M. (2010) Multi-fluid Poro-Elastic Modelling of the CSF Infusion Test. In: Lim C.T., Goh J.C.H. (eds) 6th World Congress of Biomechanics (WCB 2010). August 1-6, 2010 Singapore. IFMBE Proceedings, vol 31. Springer, Berlin, Heidelberg

Abstract

We have developed a multi-fluid model for flow of cerebro-spinal fluid (CSF) in the brain which incorporates both CSF and blood pressure variations and has general application for study of hydrocephalus, and particularly here, for simulation of a CSF infusion test. Existing poro-elastic models for CSF flow treat the parenchyma and CSF as a continuum where very slow fluid flow interacts with and can affect the deformation of the underlying elastic substructure. A spherical model with CSF production at the centre of the brain, which allows flow through the aqueduct and very slow flow through the parenchyma before absorption at the outer periphery of the brain, has provided plausible results for hydrocephalus. However, while that model provides new predictions about the interior state of the parenchyma, it is only applicable for long time scales that neglect blood pulsations on the cardiac cycle time scale. Here we describe a model which, by adding a blood compartment to the usual poro-elastic framework, allows blood pulsations to be included and so to attempt a time accurate simulation of CSF pressure fluctuations during an infusion test.

Keywords

Poro-elasticity CSF infusion test multi-compartment CSF simulation 

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Copyright information

© International Federation for Medical and Biological Engineering 2010

Authors and Affiliations

  • I. Sobey
    • 1
  • A. Eisenträger
    • 1
  • B. Wirth
    • 2
  • M. Czosnyka
    • 3
  1. 1.Mathematical InstituteOxfordUnited Kingdom
  2. 2.Institute for Numerical SimulationBonnGermany
  3. 3.Department of Clinical NeurosciencesCambridgeUnited Kingdom

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