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Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization
Eurographics / IEEE VGTC Symposium on Visualization 2007, May 2007

Michael Burns, Martin Haidacher, Wolfgang Wein,
Ivan Viola, Eduard Groeller


Traditional cutaway (left) vs. contextual cutaway (right).
Contextual cutaways allow one to better perceive the position and surrounding materials of embedded features of interest.

Abstract

Dense 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.

Citation (BibTeX)

Michael Burns, Martin Haidacher, Wolfgang Wein, Ivan Viola, and Eduard Groeller. Feature Emphasis and Contextual Cutaways for Multimodal Medical Visualization. Eurographics / IEEE VGTC Symposium on Visualization 2007, pp. 275-282, May 2007.

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