Abstract
For the rupture risk assessment of cerebral aneurysms, the blood flow is approximated using computational fluid dynamics (CFD). Unsteady CFD inflow conditions yield time-dependent vector fields, from which the wall shear stress (WSS), an important indicator for rupture risk in clinical research, is extracted. For WSS evaluation, its magnitude is usually color-coded on the aneurysm surface mesh. Hence, time-dependent results would require an animated depiction of all WSS values. Instead, mostly a static 3D representation is employed by choosing a single point in time, e.g., peak-systole. Our developed framework comprises such a static WSS visualization, an animated visualization, as well as a new technique including statistic information. We compare them in a user study and match them against a ground truth extracted by a clinical expert. The new technique with statistical information turned out to be superior compared to the ground truth for the depiction of time-dependent WSS.
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Glaßer, S. et al. (2016). Evaluation of Time-Dependent Wall Shear Stress Visualizations for Cerebral Aneurysms. In: Tolxdorff, T., Deserno, T., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2016. Informatik aktuell. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49465-3_42
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DOI: https://doi.org/10.1007/978-3-662-49465-3_42
Publisher Name: Springer Vieweg, Berlin, Heidelberg
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