Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization

dc.contributor.authorBurns, Michaelen_US
dc.contributor.authorHaidacher, Martinen_US
dc.contributor.authorWein, Wolfgangen_US
dc.contributor.authorViola, Ivanen_US
dc.contributor.authorGroeller, Eduarden_US
dc.contributor.editorK. Museth and T. Moeller and A. Ynnermanen_US
dc.date.accessioned2014-01-31T07:11:09Z
dc.date.available2014-01-31T07:11:09Z
dc.date.issued2007en_US
dc.description.abstractDense clinical data like 3D Computed Tomography (CT) scans can be visualized together with real-time imaging for a number of medical intervention applications. However, it is difficult to provide a fused visualization that allows sufficient spatial perception of the anatomy of interest, as derived from the rich pre-operative scan, while not occluding the real-time image displayed embedded within the volume. We propose an importance-driven approach that presents the embedded data such that it is clearly visible along with its spatial relation to the surrounding volumetric material. To support this, we present and integrate novel techniques for importance specification, feature emphasis, and contextual cutaway generation. We show results in a clinical context where a pre-operative CT scan is visualized alongside a tracked ultrasound image, such that the important vasculature is depicted between the viewpoint and the ultrasound image, while a more opaque representation of the anatomy is exposed in the surrounding area.en_US
dc.description.seriesinformationEurographics/ IEEE-VGTC Symposium on Visualizationen_US
dc.identifier.isbn978-3-905673-45-6en_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttps://doi.org/10.2312/VisSym/EuroVis07/275-282en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/Image Generation - Display algorithmsen_US
dc.titleFeature Emphasis and Contextual Cutaways for Multimodal Medical Visualizationen_US
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