The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms

With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many...

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Veröffentlicht in:Journal of biomechanical engineering 2015-12, Vol.137 (12), p.121008-121008
Hauptverfasser: Berg, Philipp, Roloff, Christoph, Beuing, Oliver, Voss, Samuel, Sugiyama, Shin-Ichiro, Aristokleous, Nicolas, Anayiotos, Andreas S, Ashton, Neil, Revell, Alistair, Bressloff, Neil W, Brown, Alistair G, Jae Chung, Bong, Cebral, Juan R, Copelli, Gabriele, Fu, Wenyu, Qiao, Aike, Geers, Arjan J, Hodis, Simona, Dragomir-Daescu, Dan, Nordahl, Emily, Bora Suzen, Yildirim, Owais Khan, Muhammad, Valen-Sendstad, Kristian, Kono, Kenichi, Menon, Prahlad G, Albal, Priti G, Mierka, Otto, Münster, Raphael, Morales, Hernán G, Bonnefous, Odile, Osman, Jan, Goubergrits, Leonid, Pallares, Jordi, Cito, Salvatore, Passalacqua, Alberto, Piskin, Senol, Pekkan, Kerem, Ramalho, Susana, Marques, Nelson, Sanchi, Stéphane, Schumacher, Kristopher R, Sturgeon, Jess, Švihlová, Helena, Hron, Jaroslav, Usera, Gabriel, Mendina, Mariana, Xiang, Jianping, Meng, Hui, Steinman, David A, Janiga, Gábor
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container_issue 12
container_start_page 121008
container_title Journal of biomechanical engineering
container_volume 137
creator Berg, Philipp
Roloff, Christoph
Beuing, Oliver
Voss, Samuel
Sugiyama, Shin-Ichiro
Aristokleous, Nicolas
Anayiotos, Andreas S
Ashton, Neil
Revell, Alistair
Bressloff, Neil W
Brown, Alistair G
Jae Chung, Bong
Cebral, Juan R
Copelli, Gabriele
Fu, Wenyu
Qiao, Aike
Geers, Arjan J
Hodis, Simona
Dragomir-Daescu, Dan
Nordahl, Emily
Bora Suzen, Yildirim
Owais Khan, Muhammad
Valen-Sendstad, Kristian
Kono, Kenichi
Menon, Prahlad G
Albal, Priti G
Mierka, Otto
Münster, Raphael
Morales, Hernán G
Bonnefous, Odile
Osman, Jan
Goubergrits, Leonid
Pallares, Jordi
Cito, Salvatore
Passalacqua, Alberto
Piskin, Senol
Pekkan, Kerem
Ramalho, Susana
Marques, Nelson
Sanchi, Stéphane
Schumacher, Kristopher R
Sturgeon, Jess
Švihlová, Helena
Hron, Jaroslav
Usera, Gabriel
Mendina, Mariana
Xiang, Jianping
Meng, Hui
Steinman, David A
Janiga, Gábor
description With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many hemodynamic parameters can be obtained from these computations, to date, no consistent methodology for the prediction of the rupture has been identified. One particular challenge to CFD is that many factors contribute to its accuracy; the mesh resolution and spatial/temporal discretization can alone contribute to a variation in accuracy. This failure to identify the importance of these factors and identify a methodology for the prediction of ruptures has limited the acceptance of CFD among physicians for rupture prediction. The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twenty-six groups from 15 countries took part in the challenge. Participants were provided with surface models of two intracranial aneurysms and asked to carry out the corresponding hemodynamics simulations, free to choose their own mesh, solver, and temporal discretization. They were requested to submit velocity and pressure predictions along the centerline and on specified planes. The first phase of the challenge, described in a separate paper, was aimed at predicting which of the two aneurysms had previously ruptured and where the rupture site was located. The second phase, described in this paper, aims to assess the variability of the solutions and the sensitivity to the modeling assumptions. Participants were free to choose boundary conditions in the first phase, whereas they were prescribed in the second phase but all other CFD modeling parameters were not prescribed. In order to compare the computational results of one representative group with experimental results, steady-flow measurements using particle image velocimetry (PIV) were carried out in a silicone model of one of the provided aneurysms. Approximately 80% of the participating groups generated similar results. Both velocity and pressure computations were in good agreement with each other for cycle-averaged and peak-systolic predictions. Most apparent “outliers” (results that stand out of th
doi_str_mv 10.1115/1.4031794
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There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many hemodynamic parameters can be obtained from these computations, to date, no consistent methodology for the prediction of the rupture has been identified. One particular challenge to CFD is that many factors contribute to its accuracy; the mesh resolution and spatial/temporal discretization can alone contribute to a variation in accuracy. This failure to identify the importance of these factors and identify a methodology for the prediction of ruptures has limited the acceptance of CFD among physicians for rupture prediction. The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twenty-six groups from 15 countries took part in the challenge. Participants were provided with surface models of two intracranial aneurysms and asked to carry out the corresponding hemodynamics simulations, free to choose their own mesh, solver, and temporal discretization. They were requested to submit velocity and pressure predictions along the centerline and on specified planes. The first phase of the challenge, described in a separate paper, was aimed at predicting which of the two aneurysms had previously ruptured and where the rupture site was located. The second phase, described in this paper, aims to assess the variability of the solutions and the sensitivity to the modeling assumptions. Participants were free to choose boundary conditions in the first phase, whereas they were prescribed in the second phase but all other CFD modeling parameters were not prescribed. In order to compare the computational results of one representative group with experimental results, steady-flow measurements using particle image velocimetry (PIV) were carried out in a silicone model of one of the provided aneurysms. Approximately 80% of the participating groups generated similar results. Both velocity and pressure computations were in good agreement with each other for cycle-averaged and peak-systolic predictions. Most apparent “outliers” (results that stand out of the collective) were observed to have underestimated velocity levels compared to the majority of solutions, but nevertheless identified comparable flow structures. In only two cases, the results deviate by over 35% from the mean solution of all the participants. Results of steady CFD simulations of the representative group and PIV experiments were in good agreement. The study demonstrated that while a range of numerical schemes, mesh resolution, and solvers was used, similar flow predictions were observed in the majority of cases. To further validate the computational results, it is suggested that time-dependent measurements should be conducted in the future. However, it is recognized that this study does not include the biological aspects of the aneurysm, which needs to be considered to be able to more precisely identify the specific rupture risk of an intracranial aneurysm.</description><identifier>ISSN: 0148-0731</identifier><identifier>EISSN: 1528-8951</identifier><identifier>DOI: 10.1115/1.4031794</identifier><identifier>PMID: 26473395</identifier><language>eng</language><publisher>United States: ASME</publisher><subject>Accuracy ; Aneurysm, Ruptured - physiopathology ; Blood Flow Velocity ; Blood Pressure ; Cerebrovascular Circulation ; Computation ; Computational fluid dynamics ; Computer Simulation ; Finite element method ; Hemodynamics ; Humans ; Intracranial Aneurysm - physiopathology ; Mathematical models ; Models, Cardiovascular ; Rupture ; Shear Strength</subject><ispartof>Journal of biomechanical engineering, 2015-12, Vol.137 (12), p.121008-121008</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a437t-27d32d4316e16380e3172b65b321f00ce896941f8da8c99fdf74121e0956a7c33</citedby><cites>FETCH-LOGICAL-a437t-27d32d4316e16380e3172b65b321f00ce896941f8da8c99fdf74121e0956a7c33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902,38497</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26473395$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Berg, Philipp</creatorcontrib><creatorcontrib>Roloff, Christoph</creatorcontrib><creatorcontrib>Beuing, Oliver</creatorcontrib><creatorcontrib>Voss, Samuel</creatorcontrib><creatorcontrib>Sugiyama, Shin-Ichiro</creatorcontrib><creatorcontrib>Aristokleous, Nicolas</creatorcontrib><creatorcontrib>Anayiotos, Andreas S</creatorcontrib><creatorcontrib>Ashton, Neil</creatorcontrib><creatorcontrib>Revell, Alistair</creatorcontrib><creatorcontrib>Bressloff, Neil W</creatorcontrib><creatorcontrib>Brown, Alistair G</creatorcontrib><creatorcontrib>Jae Chung, Bong</creatorcontrib><creatorcontrib>Cebral, Juan R</creatorcontrib><creatorcontrib>Copelli, Gabriele</creatorcontrib><creatorcontrib>Fu, Wenyu</creatorcontrib><creatorcontrib>Qiao, Aike</creatorcontrib><creatorcontrib>Geers, Arjan J</creatorcontrib><creatorcontrib>Hodis, Simona</creatorcontrib><creatorcontrib>Dragomir-Daescu, Dan</creatorcontrib><creatorcontrib>Nordahl, Emily</creatorcontrib><creatorcontrib>Bora Suzen, Yildirim</creatorcontrib><creatorcontrib>Owais Khan, Muhammad</creatorcontrib><creatorcontrib>Valen-Sendstad, Kristian</creatorcontrib><creatorcontrib>Kono, Kenichi</creatorcontrib><creatorcontrib>Menon, Prahlad G</creatorcontrib><creatorcontrib>Albal, Priti G</creatorcontrib><creatorcontrib>Mierka, Otto</creatorcontrib><creatorcontrib>Münster, Raphael</creatorcontrib><creatorcontrib>Morales, Hernán G</creatorcontrib><creatorcontrib>Bonnefous, Odile</creatorcontrib><creatorcontrib>Osman, Jan</creatorcontrib><creatorcontrib>Goubergrits, Leonid</creatorcontrib><creatorcontrib>Pallares, Jordi</creatorcontrib><creatorcontrib>Cito, Salvatore</creatorcontrib><creatorcontrib>Passalacqua, Alberto</creatorcontrib><creatorcontrib>Piskin, Senol</creatorcontrib><creatorcontrib>Pekkan, Kerem</creatorcontrib><creatorcontrib>Ramalho, Susana</creatorcontrib><creatorcontrib>Marques, Nelson</creatorcontrib><creatorcontrib>Sanchi, Stéphane</creatorcontrib><creatorcontrib>Schumacher, Kristopher R</creatorcontrib><creatorcontrib>Sturgeon, Jess</creatorcontrib><creatorcontrib>Švihlová, Helena</creatorcontrib><creatorcontrib>Hron, Jaroslav</creatorcontrib><creatorcontrib>Usera, Gabriel</creatorcontrib><creatorcontrib>Mendina, Mariana</creatorcontrib><creatorcontrib>Xiang, Jianping</creatorcontrib><creatorcontrib>Meng, Hui</creatorcontrib><creatorcontrib>Steinman, David A</creatorcontrib><creatorcontrib>Janiga, Gábor</creatorcontrib><title>The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms</title><title>Journal of biomechanical engineering</title><addtitle>J Biomech Eng</addtitle><addtitle>J Biomech Eng</addtitle><description>With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many hemodynamic parameters can be obtained from these computations, to date, no consistent methodology for the prediction of the rupture has been identified. One particular challenge to CFD is that many factors contribute to its accuracy; the mesh resolution and spatial/temporal discretization can alone contribute to a variation in accuracy. This failure to identify the importance of these factors and identify a methodology for the prediction of ruptures has limited the acceptance of CFD among physicians for rupture prediction. The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twenty-six groups from 15 countries took part in the challenge. Participants were provided with surface models of two intracranial aneurysms and asked to carry out the corresponding hemodynamics simulations, free to choose their own mesh, solver, and temporal discretization. They were requested to submit velocity and pressure predictions along the centerline and on specified planes. The first phase of the challenge, described in a separate paper, was aimed at predicting which of the two aneurysms had previously ruptured and where the rupture site was located. The second phase, described in this paper, aims to assess the variability of the solutions and the sensitivity to the modeling assumptions. Participants were free to choose boundary conditions in the first phase, whereas they were prescribed in the second phase but all other CFD modeling parameters were not prescribed. In order to compare the computational results of one representative group with experimental results, steady-flow measurements using particle image velocimetry (PIV) were carried out in a silicone model of one of the provided aneurysms. Approximately 80% of the participating groups generated similar results. Both velocity and pressure computations were in good agreement with each other for cycle-averaged and peak-systolic predictions. Most apparent “outliers” (results that stand out of the collective) were observed to have underestimated velocity levels compared to the majority of solutions, but nevertheless identified comparable flow structures. In only two cases, the results deviate by over 35% from the mean solution of all the participants. Results of steady CFD simulations of the representative group and PIV experiments were in good agreement. The study demonstrated that while a range of numerical schemes, mesh resolution, and solvers was used, similar flow predictions were observed in the majority of cases. To further validate the computational results, it is suggested that time-dependent measurements should be conducted in the future. However, it is recognized that this study does not include the biological aspects of the aneurysm, which needs to be considered to be able to more precisely identify the specific rupture risk of an intracranial aneurysm.</description><subject>Accuracy</subject><subject>Aneurysm, Ruptured - physiopathology</subject><subject>Blood Flow Velocity</subject><subject>Blood Pressure</subject><subject>Cerebrovascular Circulation</subject><subject>Computation</subject><subject>Computational fluid dynamics</subject><subject>Computer Simulation</subject><subject>Finite element method</subject><subject>Hemodynamics</subject><subject>Humans</subject><subject>Intracranial Aneurysm - physiopathology</subject><subject>Mathematical models</subject><subject>Models, Cardiovascular</subject><subject>Rupture</subject><subject>Shear Strength</subject><issn>0148-0731</issn><issn>1528-8951</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqN0b1uFDEUBWALgcgmUFAjIZekmODrn7GHLloIWSkSCBZayzvjYR3Z4409FtqOkgfgCXkSDLvQQuXm87m69yD0BMgFAIgXcMEJA9nxe2gBgqpGdQLuowUBrhoiGZyg05xvCQFQnDxEJ7TlkrFOLNC39dbiZQy7MpvZxcl4fOWLG_Cr_WSC6zN-X3ZzSRVtjfd2-mwxJcB-fP3-bmuyxavVS_zJJGc2zrt5j-OIr22Iw-E7_uBC8b-TM3YTXn-JeDXNyfTJTK4Ou5xsSfsc8iP0YDQ-28fH9wx9vHq9Xl43N2_frJaXN43hTM4NlQOjA2fQWmiZIrbuTTet2DAKIyG9VV3bcRjVYFTfdeMwSg4ULOlEa2TP2Bl6fsjdpXhXbJ51cLm33pvJxpI1KCZEq0DA_1BKuZRS_ZvWEqSSjPBKzw-0TzHnZEe9Sy6YtNdA9K86NehjndU-O8aWTbDDX_mnvwqeHoDJwerbWFJtMGsmoV6H_QQ_VKKB</recordid><startdate>20151201</startdate><enddate>20151201</enddate><creator>Berg, Philipp</creator><creator>Roloff, Christoph</creator><creator>Beuing, Oliver</creator><creator>Voss, Samuel</creator><creator>Sugiyama, Shin-Ichiro</creator><creator>Aristokleous, Nicolas</creator><creator>Anayiotos, Andreas S</creator><creator>Ashton, Neil</creator><creator>Revell, Alistair</creator><creator>Bressloff, Neil W</creator><creator>Brown, Alistair G</creator><creator>Jae Chung, Bong</creator><creator>Cebral, Juan R</creator><creator>Copelli, Gabriele</creator><creator>Fu, Wenyu</creator><creator>Qiao, Aike</creator><creator>Geers, Arjan J</creator><creator>Hodis, Simona</creator><creator>Dragomir-Daescu, Dan</creator><creator>Nordahl, Emily</creator><creator>Bora Suzen, Yildirim</creator><creator>Owais Khan, Muhammad</creator><creator>Valen-Sendstad, Kristian</creator><creator>Kono, Kenichi</creator><creator>Menon, Prahlad G</creator><creator>Albal, Priti G</creator><creator>Mierka, Otto</creator><creator>Münster, Raphael</creator><creator>Morales, Hernán G</creator><creator>Bonnefous, Odile</creator><creator>Osman, Jan</creator><creator>Goubergrits, Leonid</creator><creator>Pallares, Jordi</creator><creator>Cito, Salvatore</creator><creator>Passalacqua, Alberto</creator><creator>Piskin, Senol</creator><creator>Pekkan, Kerem</creator><creator>Ramalho, Susana</creator><creator>Marques, Nelson</creator><creator>Sanchi, Stéphane</creator><creator>Schumacher, Kristopher R</creator><creator>Sturgeon, Jess</creator><creator>Švihlová, Helena</creator><creator>Hron, Jaroslav</creator><creator>Usera, Gabriel</creator><creator>Mendina, Mariana</creator><creator>Xiang, Jianping</creator><creator>Meng, Hui</creator><creator>Steinman, David A</creator><creator>Janiga, Gábor</creator><general>ASME</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7TB</scope><scope>7U5</scope><scope>F28</scope><scope>L7M</scope></search><sort><creationdate>20151201</creationdate><title>The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms</title><author>Berg, Philipp ; Roloff, Christoph ; Beuing, Oliver ; Voss, Samuel ; Sugiyama, Shin-Ichiro ; Aristokleous, Nicolas ; Anayiotos, Andreas S ; Ashton, Neil ; Revell, Alistair ; Bressloff, Neil W ; Brown, Alistair G ; Jae Chung, Bong ; Cebral, Juan R ; Copelli, Gabriele ; Fu, Wenyu ; Qiao, Aike ; Geers, Arjan J ; Hodis, Simona ; Dragomir-Daescu, Dan ; Nordahl, Emily ; Bora Suzen, Yildirim ; Owais Khan, Muhammad ; Valen-Sendstad, Kristian ; Kono, Kenichi ; Menon, Prahlad G ; Albal, Priti G ; Mierka, Otto ; Münster, Raphael ; Morales, Hernán G ; Bonnefous, Odile ; Osman, Jan ; Goubergrits, Leonid ; Pallares, Jordi ; Cito, Salvatore ; Passalacqua, Alberto ; Piskin, Senol ; Pekkan, Kerem ; Ramalho, Susana ; Marques, Nelson ; Sanchi, Stéphane ; Schumacher, Kristopher R ; Sturgeon, Jess ; Švihlová, Helena ; Hron, Jaroslav ; Usera, Gabriel ; Mendina, Mariana ; Xiang, Jianping ; Meng, Hui ; Steinman, David A ; Janiga, Gábor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a437t-27d32d4316e16380e3172b65b321f00ce896941f8da8c99fdf74121e0956a7c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Accuracy</topic><topic>Aneurysm, Ruptured - physiopathology</topic><topic>Blood Flow Velocity</topic><topic>Blood Pressure</topic><topic>Cerebrovascular Circulation</topic><topic>Computation</topic><topic>Computational fluid dynamics</topic><topic>Computer Simulation</topic><topic>Finite element method</topic><topic>Hemodynamics</topic><topic>Humans</topic><topic>Intracranial Aneurysm - physiopathology</topic><topic>Mathematical models</topic><topic>Models, Cardiovascular</topic><topic>Rupture</topic><topic>Shear Strength</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Berg, Philipp</creatorcontrib><creatorcontrib>Roloff, Christoph</creatorcontrib><creatorcontrib>Beuing, Oliver</creatorcontrib><creatorcontrib>Voss, Samuel</creatorcontrib><creatorcontrib>Sugiyama, Shin-Ichiro</creatorcontrib><creatorcontrib>Aristokleous, Nicolas</creatorcontrib><creatorcontrib>Anayiotos, Andreas S</creatorcontrib><creatorcontrib>Ashton, Neil</creatorcontrib><creatorcontrib>Revell, Alistair</creatorcontrib><creatorcontrib>Bressloff, Neil W</creatorcontrib><creatorcontrib>Brown, Alistair G</creatorcontrib><creatorcontrib>Jae Chung, Bong</creatorcontrib><creatorcontrib>Cebral, Juan R</creatorcontrib><creatorcontrib>Copelli, Gabriele</creatorcontrib><creatorcontrib>Fu, Wenyu</creatorcontrib><creatorcontrib>Qiao, Aike</creatorcontrib><creatorcontrib>Geers, Arjan J</creatorcontrib><creatorcontrib>Hodis, Simona</creatorcontrib><creatorcontrib>Dragomir-Daescu, Dan</creatorcontrib><creatorcontrib>Nordahl, Emily</creatorcontrib><creatorcontrib>Bora Suzen, Yildirim</creatorcontrib><creatorcontrib>Owais Khan, Muhammad</creatorcontrib><creatorcontrib>Valen-Sendstad, Kristian</creatorcontrib><creatorcontrib>Kono, Kenichi</creatorcontrib><creatorcontrib>Menon, Prahlad G</creatorcontrib><creatorcontrib>Albal, Priti G</creatorcontrib><creatorcontrib>Mierka, Otto</creatorcontrib><creatorcontrib>Münster, Raphael</creatorcontrib><creatorcontrib>Morales, Hernán G</creatorcontrib><creatorcontrib>Bonnefous, Odile</creatorcontrib><creatorcontrib>Osman, Jan</creatorcontrib><creatorcontrib>Goubergrits, Leonid</creatorcontrib><creatorcontrib>Pallares, Jordi</creatorcontrib><creatorcontrib>Cito, Salvatore</creatorcontrib><creatorcontrib>Passalacqua, Alberto</creatorcontrib><creatorcontrib>Piskin, Senol</creatorcontrib><creatorcontrib>Pekkan, Kerem</creatorcontrib><creatorcontrib>Ramalho, Susana</creatorcontrib><creatorcontrib>Marques, Nelson</creatorcontrib><creatorcontrib>Sanchi, Stéphane</creatorcontrib><creatorcontrib>Schumacher, Kristopher R</creatorcontrib><creatorcontrib>Sturgeon, Jess</creatorcontrib><creatorcontrib>Švihlová, Helena</creatorcontrib><creatorcontrib>Hron, Jaroslav</creatorcontrib><creatorcontrib>Usera, Gabriel</creatorcontrib><creatorcontrib>Mendina, Mariana</creatorcontrib><creatorcontrib>Xiang, Jianping</creatorcontrib><creatorcontrib>Meng, Hui</creatorcontrib><creatorcontrib>Steinman, David A</creatorcontrib><creatorcontrib>Janiga, Gábor</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Journal of biomechanical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Berg, Philipp</au><au>Roloff, Christoph</au><au>Beuing, Oliver</au><au>Voss, Samuel</au><au>Sugiyama, Shin-Ichiro</au><au>Aristokleous, Nicolas</au><au>Anayiotos, Andreas S</au><au>Ashton, Neil</au><au>Revell, Alistair</au><au>Bressloff, Neil W</au><au>Brown, Alistair G</au><au>Jae Chung, Bong</au><au>Cebral, Juan R</au><au>Copelli, Gabriele</au><au>Fu, Wenyu</au><au>Qiao, Aike</au><au>Geers, Arjan J</au><au>Hodis, Simona</au><au>Dragomir-Daescu, Dan</au><au>Nordahl, Emily</au><au>Bora Suzen, Yildirim</au><au>Owais Khan, Muhammad</au><au>Valen-Sendstad, Kristian</au><au>Kono, Kenichi</au><au>Menon, Prahlad G</au><au>Albal, Priti G</au><au>Mierka, Otto</au><au>Münster, Raphael</au><au>Morales, Hernán G</au><au>Bonnefous, Odile</au><au>Osman, Jan</au><au>Goubergrits, Leonid</au><au>Pallares, Jordi</au><au>Cito, Salvatore</au><au>Passalacqua, Alberto</au><au>Piskin, Senol</au><au>Pekkan, Kerem</au><au>Ramalho, Susana</au><au>Marques, Nelson</au><au>Sanchi, Stéphane</au><au>Schumacher, Kristopher R</au><au>Sturgeon, Jess</au><au>Švihlová, Helena</au><au>Hron, Jaroslav</au><au>Usera, Gabriel</au><au>Mendina, Mariana</au><au>Xiang, Jianping</au><au>Meng, Hui</au><au>Steinman, David A</au><au>Janiga, Gábor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms</atitle><jtitle>Journal of biomechanical engineering</jtitle><stitle>J Biomech Eng</stitle><addtitle>J Biomech Eng</addtitle><date>2015-12-01</date><risdate>2015</risdate><volume>137</volume><issue>12</issue><spage>121008</spage><epage>121008</epage><pages>121008-121008</pages><issn>0148-0731</issn><eissn>1528-8951</eissn><abstract>With the increased availability of computational resources, the past decade has seen a rise in the use of computational fluid dynamics (CFD) for medical applications. There has been an increase in the application of CFD to attempt to predict the rupture of intracranial aneurysms, however, while many hemodynamic parameters can be obtained from these computations, to date, no consistent methodology for the prediction of the rupture has been identified. One particular challenge to CFD is that many factors contribute to its accuracy; the mesh resolution and spatial/temporal discretization can alone contribute to a variation in accuracy. This failure to identify the importance of these factors and identify a methodology for the prediction of ruptures has limited the acceptance of CFD among physicians for rupture prediction. The International CFD Rupture Challenge 2013 seeks to comment on the sensitivity of these various CFD assumptions to predict the rupture by undertaking a comparison of the rupture and blood-flow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twenty-six groups from 15 countries took part in the challenge. Participants were provided with surface models of two intracranial aneurysms and asked to carry out the corresponding hemodynamics simulations, free to choose their own mesh, solver, and temporal discretization. They were requested to submit velocity and pressure predictions along the centerline and on specified planes. The first phase of the challenge, described in a separate paper, was aimed at predicting which of the two aneurysms had previously ruptured and where the rupture site was located. The second phase, described in this paper, aims to assess the variability of the solutions and the sensitivity to the modeling assumptions. Participants were free to choose boundary conditions in the first phase, whereas they were prescribed in the second phase but all other CFD modeling parameters were not prescribed. In order to compare the computational results of one representative group with experimental results, steady-flow measurements using particle image velocimetry (PIV) were carried out in a silicone model of one of the provided aneurysms. Approximately 80% of the participating groups generated similar results. Both velocity and pressure computations were in good agreement with each other for cycle-averaged and peak-systolic predictions. Most apparent “outliers” (results that stand out of the collective) were observed to have underestimated velocity levels compared to the majority of solutions, but nevertheless identified comparable flow structures. In only two cases, the results deviate by over 35% from the mean solution of all the participants. Results of steady CFD simulations of the representative group and PIV experiments were in good agreement. The study demonstrated that while a range of numerical schemes, mesh resolution, and solvers was used, similar flow predictions were observed in the majority of cases. To further validate the computational results, it is suggested that time-dependent measurements should be conducted in the future. However, it is recognized that this study does not include the biological aspects of the aneurysm, which needs to be considered to be able to more precisely identify the specific rupture risk of an intracranial aneurysm.</abstract><cop>United States</cop><pub>ASME</pub><pmid>26473395</pmid><doi>10.1115/1.4031794</doi><tpages>1</tpages></addata></record>
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subjects Accuracy
Aneurysm, Ruptured - physiopathology
Blood Flow Velocity
Blood Pressure
Cerebrovascular Circulation
Computation
Computational fluid dynamics
Computer Simulation
Finite element method
Hemodynamics
Humans
Intracranial Aneurysm - physiopathology
Mathematical models
Models, Cardiovascular
Rupture
Shear Strength
title The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms
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