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

    Source: Journal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 012::page 121008
    Author:
    Berg, Philipp
    ,
    Roloff, Christoph
    ,
    Beuing, Oliver
    ,
    Voss, Samuel
    ,
    Sugiyama, Shin
    ,
    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
    ,
    Nordahl, Emily
    ,
    Bora Suzen, Yildirim
    ,
    Owais Khan, Muhammad
    ,
    Valen
    ,
    Kono, Kenichi
    ,
    Menon, Prahlad G.
    ,
    Albal, Priti G.
    ,
    Mierka, Otto
    ,
    Mأ¼nster, Raphael
    ,
    Morales, Hernأ،n G.
    ,
    Bonnefous, Odile
    ,
    Osman, Jan
    ,
    Goubergrits, Leonid
    ,
    Pallares, Jordi
    ,
    Cito, Salvatore
    ,
    Passalacqua, Alberto
    ,
    Piskin, Senol
    ,
    Pekkan, Kerem
    ,
    Ramalho, Susana
    ,
    Marques, Nelson
    ,
    Sanchi, Stأ©phane
    ,
    Schumacher, Kristopher R.
    ,
    Sturgeon, Jess
    ,
     vihlovأ،, Helena
    ,
    Hron, Jaroslav
    ,
    Usera, Gabriel
    ,
    Mendina, Mariana
    ,
    Xiang, Jianping
    ,
    Meng, Hui
    ,
    Steinman, David A.
    ,
    Janiga, Gأ،bor
    DOI: 10.1115/1.4031794
    Publisher: The American Society of Mechanical Engineers (ASME)
    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 bloodflow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twentysix 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, steadyflow 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 cycleaveraged and peaksystolic predictions. Most apparent “outliersâ€‌ (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 timedependent 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.
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      The Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms

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    http://yetl.yabesh.ir/yetl1/handle/yetl/157219
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    • Journal of Biomechanical Engineering

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    contributor authorBerg, Philipp
    contributor authorRoloff, Christoph
    contributor authorBeuing, Oliver
    contributor authorVoss, Samuel
    contributor authorSugiyama, Shin
    contributor authorAristokleous, Nicolas
    contributor authorAnayiotos, Andreas S.
    contributor authorAshton, Neil
    contributor authorRevell, Alistair
    contributor authorBressloff, Neil W.
    contributor authorBrown, Alistair G.
    contributor authorJae Chung, Bong
    contributor authorCebral, Juan R.
    contributor authorCopelli, Gabriele
    contributor authorFu, Wenyu
    contributor authorQiao, Aike
    contributor authorGeers, Arjan J.
    contributor authorHodis, Simona
    contributor authorDragomir
    contributor authorNordahl, Emily
    contributor authorBora Suzen, Yildirim
    contributor authorOwais Khan, Muhammad
    contributor authorValen
    contributor authorKono, Kenichi
    contributor authorMenon, Prahlad G.
    contributor authorAlbal, Priti G.
    contributor authorMierka, Otto
    contributor authorMأ¼nster, Raphael
    contributor authorMorales, Hernأ،n G.
    contributor authorBonnefous, Odile
    contributor authorOsman, Jan
    contributor authorGoubergrits, Leonid
    contributor authorPallares, Jordi
    contributor authorCito, Salvatore
    contributor authorPassalacqua, Alberto
    contributor authorPiskin, Senol
    contributor authorPekkan, Kerem
    contributor authorRamalho, Susana
    contributor authorMarques, Nelson
    contributor authorSanchi, Stأ©phane
    contributor authorSchumacher, Kristopher R.
    contributor authorSturgeon, Jess
    contributor author vihlovأ،, Helena
    contributor authorHron, Jaroslav
    contributor authorUsera, Gabriel
    contributor authorMendina, Mariana
    contributor authorXiang, Jianping
    contributor authorMeng, Hui
    contributor authorSteinman, David A.
    contributor authorJaniga, Gأ،bor
    date accessioned2017-05-09T01:15:31Z
    date available2017-05-09T01:15:31Z
    date issued2015
    identifier issn0148-0731
    identifier otherbio_137_12_121008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157219
    description abstractWith 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 bloodflow predictions from a wide range of independent participants utilizing a range of CFD approaches. Twentysix 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, steadyflow 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 cycleaveraged and peaksystolic predictions. Most apparent “outliersâ€‌ (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 timedependent 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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleThe Computational Fluid Dynamics Rupture Challenge 2013—Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms
    typeJournal Paper
    journal volume137
    journal issue12
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4031794
    journal fristpage121008
    journal lastpage121008
    identifier eissn1528-8951
    treeJournal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 012
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian