Parameters and the process of setting them play a major role in the world of computer based visualisation, no matter whether it is a visualisation of information or of volume data. Finding suitable parameter values can take up most of the time in the visualisation process and users have to sensibly adjust a large number of parameters. Finding a useful parameter value distribution for achieving the desired visualisation result can be a cumbersome process which also depends on the user's speed and experience. The purpose of this master's thesis is to find a new and faster way to reach an appropriate parameter value distribution resulting in the desired visualisation. For this master's thesis a prototype is developed which guides the user through a semi-automatic process of adjusting parameter values, which finally results in the desired visualisation of a scientific volume. Using this prototype enables the users to explore a large number of different parameter values within only a few iterations steps and a short amount of time. In order to do so we move away from the classic approach of setting parameters by adjusting sliders or combo boxes.