Show simple item record

dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.authorSchmidt, Johannaen_US
dc.contributor.authorSailer, Anna-Margarethaen_US
dc.contributor.authorBäumler, Kathrinen_US
dc.contributor.authorWalters, Shannonen_US
dc.contributor.authorFleischmann, Dominiken_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:56Z
dc.date.available2016-09-07T05:37:56Z
dc.date.issued2016
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.urihttp://dx.doi.org/10.2312/vcbm.20161282
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161282
dc.description.abstractAortic dissection is a life threatening condition of the aorta, characterized by separation of its wall layers into a true and false lumen. A subset of patients require immediate surgical or endovascular repair. All survivors of the acute phase need long-term surveillance with imaging to monitor chronic degeneration and dilatation of the false lumen and prevent late adverse events such as rupture, or malperfusion. We introduce four novel plots displaying features of aortic dissections known or presumed to be associated with risk of future adverse events: Aortic diameter, the blood supply (outflow) to the aortic branches from the true and false lumen, the previous treatment, and an estimate of adverse event-free probabilities in one, two and 5 years. Aortic dissection maps, the composite visualization of these plots, provide a baseline for visual comparison of the complex features and associated risk of aortic dissection. These maps may lead to more individualized monitoring and improved, patient-centric treatment planning in the future.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectDisplay algorithms
dc.subjectI.4.6 [Image Processing and Computer Vision]
dc.subjectSegmentation
dc.subjectEdge and feature detection
dc.subjectI.4.7 [Image Processing and Computer Vision]
dc.subjectFeature Measurement
dc.subjectSize and shape
dc.titleAortic Dissection Maps: Comprehensive Visualization of Aortic Dissections for Risk Assessmenten_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersIllustrative and Comparative Medical Visualization
dc.identifier.doi10.2312/vcbm.20161282
dc.identifier.pages143-152


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record