Vessel Visualization using Curvicircular Feature Aggregation

dc.contributor.authorMistelbauer, Gabrielen_US
dc.contributor.authorMorar, Ancaen_US
dc.contributor.authorVarchola, Andrejen_US
dc.contributor.authorSchernthaner, Rüdigeren_US
dc.contributor.authorBaclija, Ivanen_US
dc.contributor.authorKöchl, Arnolden_US
dc.contributor.authorKanitsar, Arminen_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.authorGröller, Eduarden_US
dc.contributor.editorB. Preim, P. Rheingans, and H. Theiselen_US
dc.date.accessioned2015-02-28T15:31:01Z
dc.date.available2015-02-28T15:31:01Z
dc.date.issued2013en_US
dc.description.abstractRadiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12110en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectDisplay algorithmsen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectRaytracingen_US
dc.subjectI.4.6 [Image Processing and Computer Vision]en_US
dc.subjectSegmentationen_US
dc.subjectEdge and feature detectionen_US
dc.titleVessel Visualization using Curvicircular Feature Aggregationen_US
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