Computer-assisted surgery makes a patient-individual treatment feasible, aiming at decreased surgical risk and reduced recovery time of patients. At present, in areas of application, e.g., heart surgery as well as craniofacial surgery, its use is still limited to complex cases due to the high effort. In surgical planning, it is caused by extensive medical image analysis, including tissue classification. Especially, the classification (or segmentation) requires a lot of manual intervention. For a long time research has been devoted solely to computational aspects of segmentation, where usability aspects has been out of scope. This article focuses on the major problems of interactive segmentation and provides consequences on the segmentation process towards a solution.