Speaker: Ragnar Bade (Universität Magdeburg, Deutschland)
In this talk we will first discuss a case-based educational system for treatment decision-making and intervention planning of liver tumors. We will focus on the appropriateness and development of visualization techniques for exploring patient specific data in a problem-oriented learning environment. In this framework, NPR-techniques such as silhouettes and hatching lines are discussed. In the second part, we outline a method for visualization of anatomic tree structures, such as vascular and bronchial trees by means of convolution surfaces. We will go into detail of the filter design to achieve a correct visualization of the vessel diameter and avoid irritating bulges and unwanted blending. Afterwards examples and validation details are presented and discussed.
