@inproceedings{glaser_evaluation_2016,
	address = {Berlin},
	title = {Evaluation of {Time}-{Dependent} {Wall} {Shear} {Stress} {Visualizations} for {Cerebral} {Aneurysms}},
	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 magni- tude 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 sin- gle 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 oftime-dependent WSS.},
	booktitle = {Proc. {Bildverarbeitung} für die {Medizin} ({BVM})},
	author = {Glaßer, Sylvia and Hirsch, Jan and Berg, Philipp and Saalfeld, Patrick and Beuing, Oliver and Janiga, Gabor and Preim, Bernhard},
	year = {2016}
}