Tissue Classification Based on 3D Local Intensity Structures for Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Viewpoint Selection using Viewpoint Entropy
VMV '01 Proceedings of the Vision Modeling and Visualization Conference 2001
Essential Mathematics for Games and Interactive Applications: A Programmer's Guide
Essential Mathematics for Games and Interactive Applications: A Programmer's Guide
Proceedings of the 2005 symposium on Interactive 3D graphics and games
ACM SIGGRAPH 2005 Papers
Importance-Driven Focus of Attention
IEEE Transactions on Visualization and Computer Graphics
Viewpoint selection for angiographic volume
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
Viewpoint quality: measures and applications
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Viewpoint selection for intervention planning
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
LiveSync++: enhancements of an interaction metaphor
GI '08 Proceedings of graphics interface 2008
Visual support for interactive post-interventional assessment of radiofrequency ablation therapy
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
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Although real-time interactive volume rendering is available even for very large data sets, this visualization method is used quite rarely in the clinical practice. We suspect this is because it is very complicated and time consuming to adjust the parameters to achieve meaningful results. The clinician has to take care of the appropriate viewpoint, zooming, transfer function setup, clipping planes and other parameters. Because of this, most often only 2D slices of the data set are examined. Our work introduces LiveSync, a new concept to synchronize 2D slice views and volumetric views of medical data sets. Through intuitive picking actions on the slice, the users define the anatomical structures they are interested in. The 3D volumetric view is updated automatically with the goal that the users are provided with expressive result images. To achieve this live synchronization we use a minimal set of derived information without the need for segmented data sets or data-specific pre-computations. The components we consider are the picked point, slice view zoom, patient orientation, viewpoint history, local object shape and visibility. We introduce deformed viewing spheres which encode the viewpoint quality for the components. A combination of these deformed viewing spheres is used to estimate a good viewpoint. Our system provides the physician with synchronized views which help to gain deeper insight into the medical data with minimal user interaction.