Real Time Visualization

Methods for achieving real time response
even with huge data sets and complex visualization techniques

 
We want to make interactive a visualization, to ensure interactive frame rates while manipulating objects or changing other parameters. For example, the physician will be able to turn the view of a human head, to display a surgical knife and to mark the correct cut position; at that the frame rate has to be between 10 and 20 pictures per second, independent of data complexity.

For displaying a frame, the whole visualization pipeline must be traversed.

An additional time control unit decreases the computation time of each pipeline-step by reducing levels of detail.

Interactive visualization is a trade-off between quality and speed, but the visualization process can be optimized to get higher frame rates.

An existing software solution is InVis, which has been developed at the University of Kaiserslautern to visualize hybrid medical datasets.