A clustering-based approach for the visual analysis of vortical flow in simulated cerebral aneurysm hemodynamics enables detailed visualization of embedded vortices and flow patterns.
A novel clustering-based approach improves the visualization and analysis of complex vortical flows, such as embedded vortices, in computational simulations of cerebral aneurysms.
Computational fluid dynamic (CFD) simulations of blood flow provide new insights into the hemodynamics of vascular pathologies such as cerebral aneurysms. Understanding the relations between hemodynamics and aneurysm initiation, progression, and risk of rupture is crucial in diagnosis and treatment. Recent studies link the existence of vortices in the blood flow pattern to aneurysm rupture and report observations of embedded vortices -a larger vortex encloses a smaller one flowing in the opposite direction -whose implications are unclear. We present a clustering-based approach for the visual analysis of vortical flow in simulated cerebral aneurysm hemodynamics. We show how embedded vortices develop at saddle-node bifurcations on vortex core lines and convey the participating flow at full manifestation of the vortex by a fast and smart grouping of streamlines and the visualization of group representatives. The grouping result may be refined based on spectral clustering generating a more detailed visualization of the flow pattern, especially further off the core lines. We aim at supporting CFD engineers researching the biological implications of embedded vortices.
Oeltze‐Jafra et al. (Thu,) conducted a other in Cerebral aneurysm. Clustering-based approach for visual analysis was evaluated. A clustering-based approach for the visual analysis of vortical flow in simulated cerebral aneurysm hemodynamics enables detailed visualization of embedded vortices and flow patterns.