Research ArticleInterventional
Narrowing the Expertise Gap for Predicting Intracranial Aneurysm Hemodynamics: Impact of Solver Numerics versus Mesh and Time-Step Resolution
M.O. Khan, K. Valen-Sendstad and D.A. Steinman
American Journal of Neuroradiology July 2015, 36 (7) 1310-1316; DOI: https://doi.org/10.3174/ajnr.A4263
M.O. Khan
aFrom the Biomedical Simulation Laboratory (M.O.K., K.V.-S., D.A.S.), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
bCenter for Biomedical Computing (M.O.K., K.V.-S.), Simula Research Laboratory, Lysaker, Norway.
K. Valen-Sendstad
aFrom the Biomedical Simulation Laboratory (M.O.K., K.V.-S., D.A.S.), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
bCenter for Biomedical Computing (M.O.K., K.V.-S.), Simula Research Laboratory, Lysaker, Norway.
D.A. Steinman
aFrom the Biomedical Simulation Laboratory (M.O.K., K.V.-S., D.A.S.), Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
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In this issue
American Journal of Neuroradiology
Vol. 36, Issue 7
1 Jul 2015
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Narrowing the Expertise Gap for Predicting Intracranial Aneurysm Hemodynamics: Impact of Solver Numerics versus Mesh and Time-Step Resolution
M.O. Khan, K. Valen-Sendstad, D.A. Steinman
American Journal of Neuroradiology Jul 2015, 36 (7) 1310-1316; DOI: 10.3174/ajnr.A4263
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