A Framework for Fast Initial Exploration of PC-MRI Cardiac Flow

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dc.contributor.authorBroos, Arjan J. M.en_US
dc.contributor.authorHoon, Niels H. L. C. deen_US
dc.contributor.authorKoning, Patrick J. H. deen_US
dc.contributor.authorGeest, Rob J. van deren_US
dc.contributor.authorVilanova, Annaen_US
dc.contributor.authorJalba, Andrei C.en_US
dc.contributor.editorStefan Bruckner and Bernhard Preim and Anna Vilanova and Helwig Hauser and Anja Hennemuth and Arvid Lundervolden_US
dc.date.accessioned2016-09-07T05:37:37Z
dc.date.available2016-09-07T05:37:37Z
dc.date.issued2016
dc.description.abstractCardiac flow is still not fully understood, and is currently an active research topic. Using phase-contrast magnetic resonance imaging (PC-MRI) blood flow can be measured. For the inspection of such flow, researchers often rely on methods that require additional scans produced by different imaging modalities to provide context. This requires labor-intensive registration and often manual segmentation before any exploration of the data is performed. This work provides a framework that allows for a quick exploration of cardiac flow without the need of additional imaging and time-consuming segmentation. To achieve this, only the 4D data from one PC-MRI scan is used. A context visualization is derived automatically from the data, and provides context for the flow. Instead of relying on segmentation to deliver an accurate context, the heart's ventricles are approximated by half-ellipsoids that can be placed with minimal user interaction. Furthermore, seeding positions for flow visualization can be placed automatically in areas of interest defined by the user and based on derived flow features. The framework enables a user to do a fast initial exploration of cardiac flow, as is demonstrated by a use case and a user study involving cardiac blood flow researchers.en_US
dc.description.sectionheadersVisual Computing for Blood Flow Analysis and Motion Analysis
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20161273
dc.identifier.isbn978-3-03868-010-9
dc.identifier.issn2070-5786
dc.identifier.pages69-78
dc.identifier.urihttps://doi.org/10.2312/vcbm.20161273
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20161273
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACMCCS)
dc.subject
dc.subjectI.3.8 [Computer Graphics]
dc.subjectApplications
dc.subject4D PC
dc.subjectMRI Blood
dc.subjectFlow
dc.subjectI.4.9 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectImage Processing and Computer Vision
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and Curve Generation
dc.titleA Framework for Fast Initial Exploration of PC-MRI Cardiac Flowen_US
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VCBM 16: Eurographics Workshop on Visual Computing for Biology and Medicine