The Computed Tomography (CT) is one main imaging technique in the field of non-destructive testing. Depending on the parameter configuration for a CT scan, a high-quality volume of an object can be achieved. Since the dependency between an adequate definition of the parameters and the resulting volume quality is very strong, a scan requires certain amount of CT knowledge for parameter optimization.
In this paper, an approach of a system-based user-support will be regarded. Possible automatic parameter optimization steps will be presented and discussed. Since CT spreads into industry, more users are beginners; but also for experts these initial parameter settings, estimated by the system, are a valuable support for the final CT acquisition as well as a starting point for the manual parameter definition. This automatism will lead to less workload for the operator and to a good balance between the individual CT knowledge of the user and the system measured information.