One of the applications of visual computing is to assist clinicians in the best possible way when it comes to selecting, planning, and implementing any therapy. Based on patient-specific image data and statistical models, the individual anatomy of the patient is automatically captured and conveyed to a geometric model. With this model, highly precise access paths may then be planned, for instance.
In order to select the ideal therapy alternative on an individual basis, the search for similar patients in a great number of different courses of the disease and their visualization is supported. In this way, potential forms of therapy may already be assessed in advance with regard to their likely success. Additionally, during surgical interventions, image data can be used effectively for navigation and thus greater patient safety.
Algorithms by Fraunhofer IGD allow for various image information to be automatically overlaid by taking into account inevitable tissue deformations.