When planning a therapy, different competing quality criteria like prospects of treatment success, risk of side effects and costs have to be considered. Thereby, chances and risks must be individually balanced for every patient.
For that purpose the therapy planning is modeled as a multi-criteria optimization problem. Different, best possible compromises - so-called Pareto-optimal solutions - are then calculated. Using a real-time decision support tool the most appropriate treatment for a patient can be interactively selected.
In the project cluster »Physical Therapy« we develop innovative planning modules for ionizing-radiation therapy, ultrasonic therapy, and radio frequency ablation, which provides medical doctors and the attending physicians with a simple way to balance the chances and risks of the treatment.