Efficient Optimization for Robotic Radiosurgery
Robotic radiosurgery is characterized by a large number of beams delivered by a robot mounted linear accellerator. While the fexibiity in beam delivery allows for very tumor conformal dose distributions sparing surrounding tissue.
However, the flexibility in generating beams is challenging during treatment planning, where the many degrees of freedom correspond to a large optimization problem.
To speed up treatment planning we are working on methods for efficient selection of candidate treatment beams considering the patient geometry and the planning objectives.