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...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
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De Gruyter
2018-09-01
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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. |
first_indexed | 2024-03-12T14:11:51Z |
format | Article |
id | doaj.art-a1a1169432cf4faca72897ab7fafae1d |
institution | Directory Open Access Journal |
issn | 2364-5504 |
language | English |
last_indexed | 2024-03-12T14:11:51Z |
publishDate | 2018-09-01 |
publisher | De Gruyter |
record_format | Article |
series | Current Directions in Biomedical Engineering |
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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