Treatment planning optimization is a critical step in radiotherapy, which involves the use of algorithms to design a treatment plan that maximizes the dose delivered to the tumor while minimizing the dose to surrounding healthy tissues. The optimization group's main focus is on developing novel optimization algorithms for emerging treatment modalities such as flash therapy, adaptive proton therapy, and proton arc therapy, as well as for enabling more efficient computing through beamlet-free optimization.
The group focuses on:
- Development of in-house treatment optimizers to solve critical issues in radiotherapy and proton therapy treatment planning, including robust optimisation, and probabilistic planning
- Exploration of treatment planning for emerging techniques, particularly in proton therapy, such as arc proton therapy or FLASH
- Implementation of fully probabilistic workflow with probabilistic definition of targets and organs-at-risk