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dc.contributor.authorKöhler, Benjaminen_US
dc.contributor.authorGrothoff, Matthiasen_US
dc.contributor.authorGutberlet, Matthiasen_US
dc.contributor.authorPreim, Bernharden_US
dc.contributor.editorJeffrey Heer and Heike Leitte and Timo Ropinskien_US
dc.description.abstractFlow in the great arteries (aorta, pulmonary artery) is normally laminar with a parabolic velocity profile. Eccentric flow jets are linked to various diseases like aneurysms. Cardiac 4D PC-MRI data provide spatio-temporally resolved blood flow information for the whole cardiac cycle. In this work, we establish a time-dependent visualization and quantification of flow jets. For this purpose, equidistant measuring planes are automatically placed along the vessel's centerline. The flow jet position and region with highest velocities are extracted for every plane in each time step. This is done during pre-processing and without user-defined parameters. We visualize the main flow jet as geometric tube. High-velocity areas are depicted as a net around this tube. Both geometries are time-dependent and can be animated. Quantitative values are provided during cross-sectional measuring plane-based evaluation. Moreover, we offer a plot visualization as summary of flow jet characteristics for the selected plane. Our physiologically plausible results are in accordance with medical findings. Our clinical collaborators appreciate the possibility to view the flow jet in the whole vessel at once, which normally requires repeated pathline filtering due to varying velocities along the vessel course. The overview plots are considered as valuable for documentation purposes.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing Methodologies [I.4.9]
dc.subjectImage Processing and Computer Vision
dc.subjectComputer Applications [J.3]
dc.subjectLife and Medical Sciences
dc.titleVisual and Quantitative Analysis of Great Arteries' Blood Flow Jets in Cardiac 4D PC-MRI Dataen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersMedical Visualization

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  • 37-Issue 3
    EuroVis 2018 - Conference Proceedings

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