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M. Haidacher:
"Importance-Driven Rendering in Interventional Imaging";
Supervisor: E. Gröller, I. Viola; Institut für Computergraphik und Algorithmen, TU Wien, 2007; final examination: 2007-08.

In this thesis a combined visualization of dense clinical data like 3D CTA (Computed Tomography Angiography) combined with co-registered real-time images of medical intervention applications is presented. The main challenge here is to provide a merged visualization that allows su cient spatial perception of the important parts, as derived from the pre-operative data, while not occluding the information in the real-time image embedded within the volume. This work presents a new approach of importance de nition for volumetric data and how this importance can be used to create a feature-emphasized visualization. Furthermore the viewpoint and the position of the intervention image is used to generate a contextual cutaway which in uences the density of the visualization to avoid an occlusion of the real-time image by less important parts of the volumetric data.