Please use this identifier to cite or link to this item:
Title: The Computational Fluid Dynamics Rupture Challenge 2013 - Phase II: Variability of Hemodynamic Simulations in Two Intracranial Aneurysms
Authors: Berg, Philipp 
Roloff, Christoph 
Beuing, Oliver 
Voss, Samuel 
Sugiyama, Shin-Ichiro 
Aristokleous, Nicolas 
Anayiotos, Andreas 
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, Gábor 
Major Field of Science: Natural Sciences
Field Category: Physical Sciences
Keywords: Challenge;Computational fluid dynamics;Intracranial aneurysm;Variability
Issue Date: 5-Nov-2015
Source: Journal of Biomechanical Engineering, 2015, vol. 137, no. 12.
Volume: 137
Issue: 12
DOI: 10.1115/1.4031794
Journal: Journal of Biomechanical Engineering 
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.
ISSN: 0148-0731
DOI: 10.1115/1.4031794
Rights: © ASME.
Type: Article
Affiliation : University of Magdeburg 
University Hospital of Magdeburg 
Tohoku University 
Cyprus University of Technology 
University of Manchester 
University of Southampton 
George Mason University 
University of Parma 
Beijing University of Technology 
Universitat Pompeu Fabra 
Texas A and M University 
Mayo Clinic 
North Dakota State University 
University of Toronto 
Wakayama Rosai Hospital 
Carnegie Mellon University 
University of Dortmund 
Medisys—Philips Research 
Charité-Universitätsmedizin Berlin 
Universitat Rovira i Virgili 
Iowa State University 
Koc University 
BlueCAPE Lda—CAE Solutions 
Charles University 
Universidad de la República 
University at Buffalo, The State University of New York 
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

Citations 5

checked on Aug 31, 2020

Citations 10

Last Week
Last month
checked on Oct 18, 2020

Page view(s) 50

Last Week
Last month
checked on Oct 24, 2020

Google ScholarTM



This item is licensed under a Creative Commons License Creative Commons