Uncertainty Visualization of Stenotic Regions in Vascular Structures

dc.contributor.authorRistovski, Gordanen_US
dc.contributor.authorHahn, Horst K.en_US
dc.contributor.authorLinsen, Larsen_US
dc.contributor.editorAnna Puig Puig and Tobias Isenbergen_US
dc.date.accessioned2017-06-12T05:17:58Z
dc.date.available2017-06-12T05:17:58Z
dc.date.issued2017
dc.description.abstractStenosis refers to the thinning of the inner surface (lumen) of vascular structures. Detecting stenoses and correctly estimating their degree is crucial in clinical settings for proper treatment planning. Such a planning involves a visual assessment, which in case of vascular structures is frequently based on 3D visual representations of the vessels. However, since vessel segmentation is affected by various sources of errors and noise in the imaging and image processing pipeline, it is crucial to capture and visually convey the uncertainty in a 3D visual representation. We propose a novel approach for visualizing the shape deviation of different probability levels in vascular data, where the probability levels are computed from a probabilistic segmentation approach.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2017 - Posters
dc.identifier.doi10.2312/eurp.20171171
dc.identifier.isbn978-3-03868-044-4
dc.identifier.pages69-71
dc.identifier.urihttps://doi.org/10.2312/eurp.20171171
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20171171
dc.publisherThe Eurographics Associationen_US
dc.titleUncertainty Visualization of Stenotic Regions in Vascular Structuresen_US
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