by Sylvia Saalfeld, Philipp Berg, Jan Hirsch, Bernhard Preim
Abstract:
Computational Fluid Dynamics allows for blood flow simulations of intracranial aneurysms to support the decision making process of a clinical expert. Due to missing information, e.g. the lack of patient-specific boundary conditions, simulations depend on certain approximations, which induce uncertainty into the results. We focus on the influence of varying outflow boundary conditions for a realistic bifurcation aneurysm of the middle cerebral artery. To obtain uncertainty information, an ensemble simulation is carried out where the outflow boundary conditions were systematically altered to account for possible flow scenarios. For an analysis of the simulation results, we develop uncertainty visualizations to identify the aneurysm parts that strongly depend on the boundary conditions.
Reference:
Visualization of Variations due to Ensemble Hemodynamic Simulations for a Cerebral Bifurcation Aneurysm (Sylvia Saalfeld, Philipp Berg, Jan Hirsch, Bernhard Preim), In 16. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie (CURAC), 2017.
Bibtex Entry:
@inproceedings{saalfeld_visualization_2017,
	address = {Hannover, Germany},
	title = {Visualization of {Variations} due to {Ensemble} {Hemodynamic} {Simulations} for a {Cerebral} {Bifurcation} {Aneurysm}},
	abstract = {Computational Fluid Dynamics allows for blood flow simulations of intracranial aneurysms to support the decision making process of a clinical expert. Due to missing information, e.g. the lack of patient-specific boundary conditions, simulations depend on certain approximations, which induce uncertainty into the results. We focus on the influence of varying outflow boundary conditions for a realistic bifurcation aneurysm of the middle cerebral artery. To obtain uncertainty information, an ensemble simulation is carried out where the outflow boundary conditions were systematically altered to account for possible flow scenarios. For an analysis of the simulation results, we develop uncertainty visualizations to identify the aneurysm parts that strongly depend on the boundary conditions.},
	booktitle = {16. {Jahrestagung} der {Deutschen} {Gesellschaft} für {Computer}- und {Roboterassistierte} {Chirurgie} ({CURAC})},
	author = {Saalfeld, Sylvia and Berg, Philipp and Hirsch, Jan and Preim, Bernhard},
	month = oct,
	year = {2017},
	pages = {95--100}
}