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dc.contributor.authorMeuschke, Moniqueen_US
dc.contributor.authorWickenhöfer, Ralphen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.editorKozlíková, Barbora and Krone, Michael and Smit, Noeska and Nieselt, Kay and Raidou, Renata Georgiaen_US
dc.date.accessioned2020-09-28T06:12:01Z
dc.date.available2020-09-28T06:12:01Z
dc.date.issued2020
dc.identifier.isbn978-3-03868-109-0
dc.identifier.issn2070-5786
dc.identifier.urihttps://doi.org/10.2312/vcbm.20201179
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20201179
dc.description.abstractWe present ANEULYSIS, a system to improve risk assessment and treatment planning of cerebral aneurysms. Aneurysm treatment must be carefully examined as there is a risk of fatal outcome during surgery. Aneurysm growth, rupture, and treatment success depend on the interplay of vascular morphology and hemodynamics. Blood flow simulations can obtain the patient-specific hemodynamics. However, analyzing the time-dependent, multi-attribute data is time-consuming and error-prone. ANEULYSIS supports the analysis and visual exploration of aneurysm data including morphological and hemodynamic attributes. Since this is an interdisciplinary process involving both physicians and fluid mechanics experts, we provide a redundancy-free management of aneurysm data sets according to a consistent structure. Major contributions are an improved analysis of morphological aspects, simultaneous evaluation of wall- and flow-related characteristics as well as multiple attributes on the vessel wall, the assessment of mechanical wall processes as well as an automatic classification of the internal flow behavior. It was designed and evaluated in collaboration with domain experts who confirmed its usefulness and clinical necessity.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectComputer Graphics
dc.subjectComputer Applications
dc.subjectLife and Medical Sciences
dc.titleAneulysis - A System for Aneurysm Data Analysisen_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.description.sectionheadersVascular and Flow
dc.identifier.doi10.2312/vcbm.20201179
dc.identifier.pages127-138


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