Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test

<p>Cerebrospinal fluid (CSF) fills a system of cavities at the centre of the brain, known as ventricles, and the subarachnoid space surrounding the brain and the spinal cord. In addition, CSF is in free communication with the interstitial fluid of the brain tissue. Disturbances in CSF dynamics...

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Main Authors: Eisenträger, A, Almut Eisentraeger
Other Authors: Sobey, I
Format: Thesis
Language:English
Published: 2012
Subjects:
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author Eisenträger, A
Almut Eisentraeger
author2 Sobey, I
author_facet Sobey, I
Eisenträger, A
Almut Eisentraeger
author_sort Eisenträger, A
collection OXFORD
description <p>Cerebrospinal fluid (CSF) fills a system of cavities at the centre of the brain, known as ventricles, and the subarachnoid space surrounding the brain and the spinal cord. In addition, CSF is in free communication with the interstitial fluid of the brain tissue. Disturbances in CSF dynamics can lead to diseases that cause severe brain damage or even death. So-called infusion tests are frequently performed in the diagnosis of such diseases. In this type of test, changes in average CSF pressure are related to changes in CSF volume through infusion of known volumes of additional fluid.</p> <p>Traditionally, infusion tests are analysed with single compartment models, which treat all CSF as part of one compartment and balance fluid inflow, outflow and storage through a single ordinary differential equation. Poroelastic models of the brain, on the other hand, have been used to simulate spatial changes with disease, particularly of the ventricle size, on larger time scales of days, weeks or months. Wirth and Sobey (2008) developed a two-fluid poroelastic model of the brain in which CSF pressure pulsations are linked to arterial blood pressure pulsations. In this thesis, this model is developed further and simulation results are compared to clinical data.</p> <p>At first, the functional form of the compliance, which governs the storage of CSF in single compartment models, is examined by comparison of two different compliance models with clinical data. The derivations of a single-fluid and a two-fluid poroelastic model of the brain in spherical symmetry are laid out in detail and some of the parameters are related to the compliance functions considered earlier. The finite element implementation of the two-fluid model is described and finally simulation results of the average CSF pressure response and the pressure pulsations are compared to clinical data.</p>
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spelling oxford-uuid:372f291f-cf36-48ef-8ce8-d4c102bce9e32024-12-07T13:40:41ZFinite element simulation of a poroelastic model of the CSF system in the human brain during an infusion testThesishttp://purl.org/coar/resource_type/c_db06uuid:372f291f-cf36-48ef-8ce8-d4c102bce9e3Biology and other natural sciences (mathematics)Computer science (mathematics)Mathematical biologyMechanics of deformable solids (mathematics)Fluid mechanics (mathematics)EnglishOxford University Research Archive - Valet2012Eisenträger, AAlmut EisentraegerSobey, I<p>Cerebrospinal fluid (CSF) fills a system of cavities at the centre of the brain, known as ventricles, and the subarachnoid space surrounding the brain and the spinal cord. In addition, CSF is in free communication with the interstitial fluid of the brain tissue. Disturbances in CSF dynamics can lead to diseases that cause severe brain damage or even death. So-called infusion tests are frequently performed in the diagnosis of such diseases. In this type of test, changes in average CSF pressure are related to changes in CSF volume through infusion of known volumes of additional fluid.</p> <p>Traditionally, infusion tests are analysed with single compartment models, which treat all CSF as part of one compartment and balance fluid inflow, outflow and storage through a single ordinary differential equation. Poroelastic models of the brain, on the other hand, have been used to simulate spatial changes with disease, particularly of the ventricle size, on larger time scales of days, weeks or months. Wirth and Sobey (2008) developed a two-fluid poroelastic model of the brain in which CSF pressure pulsations are linked to arterial blood pressure pulsations. In this thesis, this model is developed further and simulation results are compared to clinical data.</p> <p>At first, the functional form of the compliance, which governs the storage of CSF in single compartment models, is examined by comparison of two different compliance models with clinical data. The derivations of a single-fluid and a two-fluid poroelastic model of the brain in spherical symmetry are laid out in detail and some of the parameters are related to the compliance functions considered earlier. The finite element implementation of the two-fluid model is described and finally simulation results of the average CSF pressure response and the pressure pulsations are compared to clinical data.</p>
spellingShingle Biology and other natural sciences (mathematics)
Computer science (mathematics)
Mathematical biology
Mechanics of deformable solids (mathematics)
Fluid mechanics (mathematics)
Eisenträger, A
Almut Eisentraeger
Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test
title Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test
title_full Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test
title_fullStr Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test
title_full_unstemmed Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test
title_short Finite element simulation of a poroelastic model of the CSF system in the human brain during an infusion test
title_sort finite element simulation of a poroelastic model of the csf system in the human brain during an infusion test
topic Biology and other natural sciences (mathematics)
Computer science (mathematics)
Mathematical biology
Mechanics of deformable solids (mathematics)
Fluid mechanics (mathematics)
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