Segmentation is an essential step in the analysis of medical images. For segmentation of 3-D data sets in clinical practice segmentation methods are necessary which have a small user interaction time and which are highly flexible. For this purpose we propose a two-step segmentation approach. The first step results in a coarse segmentation using the Image Foresting Transformation. In the second step an active surface creates the final segmentation. Our segmentation method was tested for segmentation on real CT images. The performance was compared with the manual segmentation. We found our method to work reliable.

Create ! is a graphical integrated development environment (IDE) for discrete event simulation.It features a complete modelling and simulation environment for end users working in a dedicated environment as well as an integrated development environment enabling advanced users or simulator developers to create extended or even new simulation environments.This paper presents major aspects of the Create !-environment and some tools built using it.

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