Automatic Animations to Analyze Blood Flow Data

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dc.contributor.authorApilla, Vikramen_US
dc.contributor.authorBehrendt, Benjaminen_US
dc.contributor.authorLawonn, Kaien_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.authorMeuschke, Moniqueen_US
dc.contributor.editorOeltze-Jafra, Steffen and Smit, Noeska N. and Sommer, Björn and Nieselt, Kay and Schultz, Thomasen_US
dc.date.accessioned2021-09-21T08:09:44Z
dc.date.available2021-09-21T08:09:44Z
dc.date.issued2021
dc.description.abstractWe present an approach for computing camera animations composed of optimal views to support the visual exploration of blood flow data using cerebral aneurysms as major example. Medical researchers are interested in hemodynamic parameters and vessel wall characteristics. The time-dependent character of blood flow data complicates the visual analysis. Our approach is modeled as an optimization problem to automatically determine camera paths during the cardiac cycle. These consist of optimal viewpoints showing regions with suspicious characteristics of wall- and flow-related parameters. This provides medical researchers with an efficient method of obtaining a fast overview of patient-specific blood flow data.en_US
dc.description.sectionheadersThe path that blood takes
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20211349
dc.identifier.isbn978-3-03868-140-3
dc.identifier.issn2070-5786
dc.identifier.pages101-105
dc.identifier.urihttps://doi.org/10.2312/vcbm.20211349
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20211349
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.subjectHuman centered computing
dc.subjectVisualization
dc.titleAutomatic Animations to Analyze Blood Flow Dataen_US
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VCBM 2021: Eurographics Workshop on Visual Computing for Biology and Medicine