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Importance-Driven Rendering in Interventional Imaging

In this work a combined visualization of dense clinical data like 3D CT (Computed Tomography) together with real-time images of medical intervention applications is presented. The main challenge here is to provide a fused visualization that allows sufficient 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 paper presents a new approach of importance definition 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 influences the density of the visualization to avoid an occlusion of the real-time image by less important parts of the volumetric data. Finally this new approach is used to 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.