Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness

Computational Fluid Dynamics studies try to support physicians during therapy planning of intracranial aneurysms. However, multiple assumptions (e.g. rigid vessel walls) are required leading to a sparse acceptance of numerical approaches within the medical community. This study incorporates multiple...

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Main Authors: Voß Samuel, Saalfeld Sylvia, Hoffmann Thomas, Beuing Oliver, Janiga Gábor, Berg Philipp
Format: Article
Language:English
Published: De Gruyter 2018-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2018-0141
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author Voß Samuel
Saalfeld Sylvia
Hoffmann Thomas
Beuing Oliver
Janiga Gábor
Berg Philipp
author_facet Voß Samuel
Saalfeld Sylvia
Hoffmann Thomas
Beuing Oliver
Janiga Gábor
Berg Philipp
author_sort Voß Samuel
collection DOAJ
description Computational Fluid Dynamics studies try to support physicians during therapy planning of intracranial aneurysms. However, multiple assumptions (e.g. rigid vessel walls) are required leading to a sparse acceptance of numerical approaches within the medical community. This study incorporates multiple fluid-structural simulations for an intracranial basilar artery bifurcation. Based on a patient-specific dataset, which was acquired using optical coherence tomography, minimum, mean, maximum, and diameter-dependent thicknesses were generated and compared w.r.t. hemodynamic and wall stress parameters. The comparison of different wall thickness models revealed a strong variability among the analyzed parameters depending on the corresponding assumption. Using the patient-specific configuration as a reference, constant thicknesses lead to differences of up to 100 % in the mean wall stresses. Even the diameter-dependent thickness results in deviations of 32 %, demonstrating the wide variability of computational predictions due to inaccurate assumptions. The findings of this study highlight the importance of geometry reconstruction including accurate wall thickness reproduction for fluid-structure simulations. Patient-specific wall thickness seems to be out of alternatives regarding the realistic prediction of wall stress distributions.
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spelling doaj.art-a1a1169432cf4faca72897ab7fafae1d2023-08-21T06:42:02ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042018-09-014158759010.1515/cdbme-2018-0141cdbme-2018-0141Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thicknessVoß Samuel0Saalfeld Sylvia1Hoffmann Thomas2Beuing Oliver3Janiga Gábor4Berg Philipp5Forschungscampus STIMULATE; Department of Fluid Dynamics and Technical Flows, University of Magdeburg,Magdeburg, GermanyForschungscampus STIMULATE, University of Magdeburg,Magdeburg, GermanyForschungscampus STIMULATE, University of Magdeburg,Magdeburg, GermanyInstitute of Neuroradiology, University Hospital Magdeburg,Magdeburg, GermanyDepartment of Fluid Dynamics and Technical Flows, University of Magdeburg,Magdeburg, GermanyDepartment of Fluid Dynamics and Technical Flows, University of Magdeburg,Magdeburg, GermanyComputational Fluid Dynamics studies try to support physicians during therapy planning of intracranial aneurysms. However, multiple assumptions (e.g. rigid vessel walls) are required leading to a sparse acceptance of numerical approaches within the medical community. This study incorporates multiple fluid-structural simulations for an intracranial basilar artery bifurcation. Based on a patient-specific dataset, which was acquired using optical coherence tomography, minimum, mean, maximum, and diameter-dependent thicknesses were generated and compared w.r.t. hemodynamic and wall stress parameters. The comparison of different wall thickness models revealed a strong variability among the analyzed parameters depending on the corresponding assumption. Using the patient-specific configuration as a reference, constant thicknesses lead to differences of up to 100 % in the mean wall stresses. Even the diameter-dependent thickness results in deviations of 32 %, demonstrating the wide variability of computational predictions due to inaccurate assumptions. The findings of this study highlight the importance of geometry reconstruction including accurate wall thickness reproduction for fluid-structure simulations. Patient-specific wall thickness seems to be out of alternatives regarding the realistic prediction of wall stress distributions.https://doi.org/10.1515/cdbme-2018-0141fluid-structure interactioncomputational fluid dynamicsintracranial aneurysmwall thickness
spellingShingle Voß Samuel
Saalfeld Sylvia
Hoffmann Thomas
Beuing Oliver
Janiga Gábor
Berg Philipp
Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness
Current Directions in Biomedical Engineering
fluid-structure interaction
computational fluid dynamics
intracranial aneurysm
wall thickness
title Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness
title_full Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness
title_fullStr Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness
title_full_unstemmed Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness
title_short Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness
title_sort fluid structure interaction in intracranial vessel walls the role of patient specific wall thickness
topic fluid-structure interaction
computational fluid dynamics
intracranial aneurysm
wall thickness
url https://doi.org/10.1515/cdbme-2018-0141
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AT beuingoliver fluidstructureinteractioninintracranialvesselwallstheroleofpatientspecificwallthickness
AT janigagabor fluidstructureinteractioninintracranialvesselwallstheroleofpatientspecificwallthickness
AT bergphilipp fluidstructureinteractioninintracranialvesselwallstheroleofpatientspecificwallthickness