by 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 Nordahl, Yildirim Bora Suzen, Muhammad Owais Khan, Kristian Valen-Sendstad, Kenichi Kono, Prahlad G. Menon, Priti G. Albal, Otto Mierka, Raphael Munster, Hernan G. Morales, Odile Bonnefous, Jan Osman, Leonid Goubergrits, Jordi Pallares, Salvatore Cito, Alberto Passalacqua, Senol Piskin, Kerem Pekkan, Susana Ramalho, Nelson Marques, Stephane Sanchi, Kristopher R. Schumacher, Jess Sturgeon, Helena Svihlova, Jaroslav Hron, Gabriel Usera, Mariana Mendina, Jianping Xiang, Hui Meng, David A. Steinman, Gabor Janiga
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.
Reference:
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 Nordahl, Yildirim Bora Suzen, Muhammad Owais Khan, Kristian Valen-Sendstad, Kenichi Kono, Prahlad G. Menon, Priti G. Albal, Otto Mierka, Raphael Munster, Hernan G. Morales, Odile Bonnefous, Jan Osman, Leonid Goubergrits, Jordi Pallares, Salvatore Cito, Alberto Passalacqua, Senol Piskin, Kerem Pekkan, Susana Ramalho, Nelson Marques, Stephane Sanchi, Kristopher R. Schumacher, Jess Sturgeon, Helena Svihlova, Jaroslav Hron, Gabriel Usera, Mariana Mendina, Jianping Xiang, Hui Meng, David A. Steinman, Gabor Janiga), In Journal of biomechanical engineering, volume 137, 2015.
Bibtex Entry:
@article{berg_computational_2015,
	title = {The {Computational} {Fluid} {Dynamics} {Rupture} {Challenge} 2013–{Phase} {II}: {Variability} of {Hemodynamic} {Simulations} in {Two} {Intracranial} {Aneurysms}.},
	volume = {137},
	issn = {1528-8951 0148-0731},
	doi = {10.1115/1.4031794},
	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.},
	language = {eng},
	number = {12},
	journal = {Journal of biomechanical engineering},
	author = {Berg, Philipp and Roloff, Christoph and Beuing, Oliver and Voß, Samuel and Sugiyama, Shin-Ichiro and Aristokleous, Nicolas and Anayiotos, Andreas S. and Ashton, Neil and Revell, Alistair and Bressloff, Neil W. and Brown, Alistair G. and Chung, Bong Jae and Cebral, Juan R. and Copelli, Gabriele and Fu, Wenyu and Qiao, Aike and Geers, Arjan J. and Hodis, Simona and Dragomir-Daescu, Dan and Nordahl, Emily and Bora Suzen, Yildirim and Owais Khan, Muhammad and Valen-Sendstad, Kristian and Kono, Kenichi and Menon, Prahlad G. and Albal, Priti G. and Mierka, Otto and Munster, Raphael and Morales, Hernan G. and Bonnefous, Odile and Osman, Jan and Goubergrits, Leonid and Pallares, Jordi and Cito, Salvatore and Passalacqua, Alberto and Piskin, Senol and Pekkan, Kerem and Ramalho, Susana and Marques, Nelson and Sanchi, Stephane and Schumacher, Kristopher R. and Sturgeon, Jess and Svihlova, Helena and Hron, Jaroslav and Usera, Gabriel and Mendina, Mariana and Xiang, Jianping and Meng, Hui and Steinman, David A. and Janiga, Gabor},
	month = dec,
	year = {2015},
	pmid = {26473395},
	keywords = {*Blood Flow Velocity, *Blood Pressure, *Cerebrovascular Circulation, *Models, aneurysm, Cardiovascular, Computer Simulation, Humans, Intracranial Aneurysm/*physiopathology, Ruptured/*physiopathology, Shear Strength},
	pages = {121008}
}