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    <completedYear/>
    <publishedYear>2019</publishedYear>
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    <language>eng</language>
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    <completedDate>2023-02-13</completedDate>
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    <title language="eng">Influence of CFD Strategy on WSS and OSI Determination for Intracranial Aneurysm Rupture Assessment</title>
    <parentTitle language="eng">25th Congress of the European Society of Biomechanics, July 7-10, 2019, Vienna, Austria</parentTitle>
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    <author>Thomas Wagner</author>
    <author>Lars Krenkel</author>
    <author>Christian Dönitz</author>
    <author>Alexander Brawanski</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="persons" number="krenkellbfmconf">Krenkel, Lars (Prof. Dr.), Präsentationen - Labor Biofluidmechanik</collection>
    <collection role="othforschungsschwerpunkt" number="16314">Lebenswissenschaften und Ethik</collection>
    <collection role="institutes" number="">Labor Biofluidmechanik</collection>
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  <doc>
    <id>8155</id>
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    <publishedYear>2025</publishedYear>
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    <language>eng</language>
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    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue/>
    <volume>167</volume>
    <type>article</type>
    <publisherName>Springer</publisherName>
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    <publishedDate>2025-03-03</publishedDate>
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    <title language="eng">Fast simulation of hemodynamics in intracranial aneurysms for clinical use</title>
    <abstract language="eng">BACKGROUND: A widely accepted tool to assess hemodynamics, one of the most important factors in aneurysm pathophysiology, is Computational Fluid Dynamics (CFD). As current workflows are still time consuming and difficult to operate, CFD is not yet a standard tool in the clinical setting. There it could provide valuable information on aneurysm treatment, especially regarding local risks of rupture, which might help to optimize the individualized strategy of neurosurgical dissection during microsurgical aneurysm clipping.&#13;
METHOD: We established and validated a semi-automated workflow using 3D rotational angiographies of 24 intracranial aneurysms from patients having received aneurysm treatment at our centre. Reconstruction of vessel geometry and generation of volume meshes was performed using AMIRA 6.2.0 and ICEM 17.1. For solving ANSYS CFX was used. For validational checks, tests regarding the volumetric impact of smoothing operations, the impact of mesh sizes on the results (grid convergence), geometric mesh quality and time tests for the time needed to perform the workflow were conducted in subgroups.&#13;
RESULTS: Most of the steps of the workflow were performed directly on the 3D images requiring no programming experience. The workflow led to final CFD results in a mean time of 22 min 51.4 s (95%-CI 20 min 51.562 s-24 min 51.238 s, n = 5). Volume of the geometries after pre-processing was in mean 4.46% higher than before in the analysed subgroup (95%-CI 3.43-5.50%). Regarding mesh sizes, mean relative aberrations of 2.30% (95%-CI 1.51-3.09%) were found for surface meshes and between 1.40% (95%-CI 1.07-1.72%) and 2.61% (95%-CI 1.93-3.29%) for volume meshes. Acceptable geometric mesh quality of volume meshes was found.&#13;
CONCLUSIONS: We developed a semi-automated workflow for aneurysm CFD to benefit from hemodynamic data in the clinical setting. The ease of handling opens the workflow to clinicians untrained in programming. As previous studies have found that the distribution of hemodynamic parameters correlates with thin-walled aneurysm areas susceptible to rupture, these data might be beneficial for the operating neurosurgeon during aneurysm surgery, even in acute cases.</abstract>
    <parentTitle language="eng">Acta Neurochirurgica</parentTitle>
    <identifier type="doi">10.1007/s00701-025-06469-9</identifier>
    <identifier type="pmid">40029490</identifier>
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    <enrichment key="BegutachtungStatus">peer-reviewed</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Daniel Deuter</author>
    <author>Amer Haj</author>
    <author>Alexander Brawanski</author>
    <author>Lars Krenkel</author>
    <author>Nils Ole Schmidt</author>
    <author>Christian Doenitz</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="RCBE">Regensburg Center of Biomedical Engineering - RCBE</collection>
    <collection role="institutes" number="RCHST">Regensburg Center of Health Sciences and Technology - RCHST</collection>
    <collection role="othforschungsschwerpunkt" number="16314">Lebenswissenschaften und Ethik</collection>
    <collection role="oaweg" number="">Hybrid Open Access - OA-Veröffentlichung in einer Subskriptionszeitschrift/-medium</collection>
    <collection role="institutes" number="">Labor Biofluidmechanik</collection>
    <collection role="persons" number="krenkellbfmpub">Krenkel, Lars (Prof. Dr.), Publikationen - Labor Biofluidmechanik</collection>
    <collection role="DFGFachsystematik" number="1">Ingenieurwissenschaften</collection>
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