[Processing medical image data for head surgery]

Three-dimensional models of the patient's anatomy are the basis for modern applications in computer-assisted surgery or radiology. To create these models the data is processed in a series of steps that transforms the initial raw data (generally CT/MRT volume images) into the three-dimensional models (e.g. triangle meshes). In doing so, a multitude of parameters adjustments, interactions and decisions are necessary to be made by the physician in order to create the models adapted to the specific needs of the patient and to the surgery. The quality of the models therefore strongly depends on that process chain. As a result of the high requirements on the quality and security of a clinical application the quality of the models itself and the capability to use them flexibly are essential. This work present a method to adjust and optimise the creation of the models and to asses their quality afterwards.