Computer modelling of CSF flow in the subarachnoid space

Erica E. Jacobson; David F. Fletcher; Ian H. Johnston; Michael K. Morgan

Computer modelling of CSF flow in the subarachnoid space

Erica E. Jacobson, David F. Fletcher, Ian H. Johnston, Michael K. Morgan

Research output: Contribution to journal › Article › peer-review

Abstract

Computer modelling has been undertaken to determine the resistance to flow in the subarachnoid space (SAS) and to investigate its contribution to the total pressure drop. A Computational Fluid Dynamics model has been used to determine the pressure drop as a function of both the flow rate and the permeability of the subarachnoid space. The conclusion is that the SAS contributes about 1-5% of the total CSF flow resistance. However, scarring of the arachnoid fibres could increase the flow resistance considerably.

Original language	English
Pages (from-to)	498-500
Number of pages	3
Journal	Journal of Clinical Neuroscience
Volume	6
Issue number	6
Publication status	Published - 1999
Externally published	Yes

Keywords

Computer modelling
CSF flow
Flow resistance
Subarachnoid space

Cite this

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title = "Computer modelling of CSF flow in the subarachnoid space",

abstract = "Computer modelling has been undertaken to determine the resistance to flow in the subarachnoid space (SAS) and to investigate its contribution to the total pressure drop. A Computational Fluid Dynamics model has been used to determine the pressure drop as a function of both the flow rate and the permeability of the subarachnoid space. The conclusion is that the SAS contributes about 1-5\% of the total CSF flow resistance. However, scarring of the arachnoid fibres could increase the flow resistance considerably.",

keywords = "Computer modelling, CSF flow, Flow resistance, Subarachnoid space",

author = "Jacobson, \{Erica E.\} and Fletcher, \{David F.\} and Johnston, \{Ian H.\} and Morgan, \{Michael K.\}",

year = "1999",

language = "English",

volume = "6",

pages = "498--500",

journal = "Journal of Clinical Neuroscience",

issn = "0967-5868",

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T1 - Computer modelling of CSF flow in the subarachnoid space

AU - Jacobson, Erica E.

AU - Fletcher, David F.

AU - Johnston, Ian H.

AU - Morgan, Michael K.

PY - 1999

Y1 - 1999

N2 - Computer modelling has been undertaken to determine the resistance to flow in the subarachnoid space (SAS) and to investigate its contribution to the total pressure drop. A Computational Fluid Dynamics model has been used to determine the pressure drop as a function of both the flow rate and the permeability of the subarachnoid space. The conclusion is that the SAS contributes about 1-5% of the total CSF flow resistance. However, scarring of the arachnoid fibres could increase the flow resistance considerably.

AB - Computer modelling has been undertaken to determine the resistance to flow in the subarachnoid space (SAS) and to investigate its contribution to the total pressure drop. A Computational Fluid Dynamics model has been used to determine the pressure drop as a function of both the flow rate and the permeability of the subarachnoid space. The conclusion is that the SAS contributes about 1-5% of the total CSF flow resistance. However, scarring of the arachnoid fibres could increase the flow resistance considerably.

KW - Computer modelling

KW - CSF flow

KW - Flow resistance

KW - Subarachnoid space

UR - https://www.scopus.com/pages/publications/10644270866

M3 - Article

C2 - 18639189

AN - SCOPUS:10644270866

SN - 0967-5868

VL - 6

SP - 498

EP - 500

JO - Journal of Clinical Neuroscience

JF - Journal of Clinical Neuroscience

IS - 6

ER -

Computer modelling of CSF flow in the subarachnoid space

Abstract

Keywords

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