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

Philipp Berg, Christoph Roloff, Oliver Beuing, Samuel Voss, Shin Ichiro Sugiyama, Nicolas Aristokleous, Andreas S. Anayiotos, Neil Ashton, Alistair Revell, Neil W. Bressloff, Alistair G. Brown, Bong Jae Chung, Juan R. Cebral, Gabriele Copelli, Wenyu Fu, Aike Qiao, Arjan J. Geers, Simona Hodis, Dan Dragomir-Daescu, Emily NordahlYildirim Bora Suzen, Muhammad Owais Khan, Kristian Valen-Sendstad, Kenichi Kono, Prahlad G. Menon, Priti G. Albal, Otto Mierka, Raphael Münster, Hernán G. Morales, Odile Bonnefous, Jan Osman, Leonid Goubergrits, Jordi Pallares, Salvatore Cito, Alberto Passalacqua, Senol Piskin, Kerem Pekkan, Susana Ramalho, Nelson Marques, Stéphane Sanchi, Kristopher R. Schumacher, Jess Sturgeon, Helena Švihlová, Jaroslav Hron, Gabriel Usera, Mariana Mendina, Jianping Xiang, Hui Meng, David A. Steinman, Gabor Janiga

Research output: Contribution to journalArticle

45 Citations (Scopus)

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 peaksystolic 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.

Original languageEnglish
Article number121008
JournalJournal of Biomechanical Engineering
Volume137
Issue number12
DOIs
StatePublished - 1 Dec 2015

Fingerprint

Hemodynamics
Intracranial Aneurysm
Hydrodynamics
Rupture
Computational fluid dynamics
Aneurysm
Rheology
Velocity measurement
Pressure
Medical applications
Silicones
Flow measurement
Steady flow
Flow structure
Blood
Availability
Boundary conditions
Physicians
Computer simulation

Keywords

  • challenge
  • computational fluid dynamics
  • intracranial aneurysm
  • variability

Cite this

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. ; Chung, Bong Jae ; Cebral, Juan R. ; Copelli, Gabriele ; Fu, Wenyu ; Qiao, Aike ; Geers, Arjan J. ; Hodis, Simona ; Dragomir-Daescu, Dan ; Nordahl, Emily ; Suzen, Yildirim Bora ; Khan, Muhammad Owais ; 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, Gabor. / The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II : Variability of Hemodynamic Simulations in Two Intracranial Aneurysms. In: Journal of Biomechanical Engineering. 2015 ; Vol. 137, No. 12.
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title = "The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms",
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 peaksystolic 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.",
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author = "Philipp Berg and Christoph Roloff and Oliver Beuing and Samuel Voss and Sugiyama, {Shin Ichiro} and Nicolas Aristokleous and Anayiotos, {Andreas S.} and Neil Ashton and Alistair Revell and Bressloff, {Neil W.} and Brown, {Alistair G.} and Chung, {Bong Jae} and Cebral, {Juan R.} and Gabriele Copelli and Wenyu Fu and Aike Qiao and Geers, {Arjan J.} and Simona Hodis and Dan Dragomir-Daescu and Emily Nordahl and Suzen, {Yildirim Bora} and Khan, {Muhammad Owais} and Kristian Valen-Sendstad and Kenichi Kono and Menon, {Prahlad G.} and Albal, {Priti G.} and Otto Mierka and Raphael M{\"u}nster and Morales, {Hern{\'a}n G.} and Odile Bonnefous and Jan Osman and Leonid Goubergrits and Jordi Pallares and Salvatore Cito and Alberto Passalacqua and Senol Piskin and Kerem Pekkan and Susana Ramalho and Nelson Marques and St{\'e}phane Sanchi and Schumacher, {Kristopher R.} and Jess Sturgeon and Helena Švihlov{\'a} and Jaroslav Hron and Gabriel Usera and Mariana Mendina and Jianping Xiang and Hui Meng and Steinman, {David A.} and Gabor Janiga",
year = "2015",
month = "12",
day = "1",
doi = "10.1115/1.4031794",
language = "English",
volume = "137",
journal = "Journal of Biomechanical Engineering",
issn = "0148-0731",
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Berg, P, Roloff, C, Beuing, O, Voss, S, Sugiyama, SI, Aristokleous, N, Anayiotos, AS, Ashton, N, Revell, A, Bressloff, NW, Brown, AG, Chung, BJ, Cebral, JR, Copelli, G, Fu, W, Qiao, A, Geers, AJ, Hodis, S, Dragomir-Daescu, D, Nordahl, E, Suzen, YB, Khan, MO, Valen-Sendstad, K, Kono, K, Menon, PG, Albal, PG, Mierka, O, Münster, R, Morales, HG, Bonnefous, O, Osman, J, Goubergrits, L, Pallares, J, Cito, S, Passalacqua, A, Piskin, S, Pekkan, K, Ramalho, S, Marques, N, Sanchi, S, Schumacher, KR, Sturgeon, J, Švihlová, H, Hron, J, Usera, G, Mendina, M, Xiang, J, Meng, H, Steinman, DA & Janiga, G 2015, 'The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms', Journal of Biomechanical Engineering, vol. 137, no. 12, 121008. https://doi.org/10.1115/1.4031794

The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II : Variability of Hemodynamic Simulations in Two Intracranial Aneurysms. / 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.; Chung, Bong Jae; Cebral, Juan R.; Copelli, Gabriele; Fu, Wenyu; Qiao, Aike; Geers, Arjan J.; Hodis, Simona; Dragomir-Daescu, Dan; Nordahl, Emily; Suzen, Yildirim Bora; Khan, Muhammad Owais; 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, Gabor.

In: Journal of Biomechanical Engineering, Vol. 137, No. 12, 121008, 01.12.2015.

Research output: Contribution to journalArticle

TY - JOUR

T1 - The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II

T2 - Variability of Hemodynamic Simulations in Two Intracranial Aneurysms

AU - Berg, Philipp

AU - Roloff, Christoph

AU - Beuing, Oliver

AU - Voss, Samuel

AU - Sugiyama, Shin Ichiro

AU - Aristokleous, Nicolas

AU - Anayiotos, Andreas S.

AU - Ashton, Neil

AU - Revell, Alistair

AU - Bressloff, Neil W.

AU - Brown, Alistair G.

AU - Chung, Bong Jae

AU - Cebral, Juan R.

AU - Copelli, Gabriele

AU - Fu, Wenyu

AU - Qiao, Aike

AU - Geers, Arjan J.

AU - Hodis, Simona

AU - Dragomir-Daescu, Dan

AU - Nordahl, Emily

AU - Suzen, Yildirim Bora

AU - Khan, Muhammad Owais

AU - Valen-Sendstad, Kristian

AU - Kono, Kenichi

AU - Menon, Prahlad G.

AU - Albal, Priti G.

AU - Mierka, Otto

AU - Münster, Raphael

AU - Morales, Hernán G.

AU - Bonnefous, Odile

AU - Osman, Jan

AU - Goubergrits, Leonid

AU - Pallares, Jordi

AU - Cito, Salvatore

AU - Passalacqua, Alberto

AU - Piskin, Senol

AU - Pekkan, Kerem

AU - Ramalho, Susana

AU - Marques, Nelson

AU - Sanchi, Stéphane

AU - Schumacher, Kristopher R.

AU - Sturgeon, Jess

AU - Švihlová, Helena

AU - Hron, Jaroslav

AU - Usera, Gabriel

AU - Mendina, Mariana

AU - Xiang, Jianping

AU - Meng, Hui

AU - Steinman, David A.

AU - Janiga, Gabor

PY - 2015/12/1

Y1 - 2015/12/1

N2 - 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 peaksystolic 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.

AB - 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 peaksystolic 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.

KW - challenge

KW - computational fluid dynamics

KW - intracranial aneurysm

KW - variability

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