Using current, beamlet-based treatment planning methods in proton therapy, computation time and memory requirements increase with rising numbers of beamlets, which poses a problem for the efficient implementation of workflows involving new treatment modalities such as robust optimization and arc proton therapy which require large numbers of beamlets.
This project concerns the development of a beamlet-free algorithm for treatment plan optimization that avoids the computation of the dose influence matrix by combining Monte Carlo dose calculation and spot weight optimization. The goal is to reduce computation time and memory requirements during treatment planning by omitting the calculation of the large scale matrix as well as the matrix multiplications with it performed during optimization.
Responsible(s)
- Danah Pross MIRO/IREC/UCLouvain (danah.pross@uclouvain.be)
- Kevin Souris Ion Beam Applications SA (kevin.souris@iba-group.com)
- John Lee MIRO/IREC/UCLouvain (john.lee@uclouvain.be)
Related publication(s)
- Beamlet-free optimization for Monte Carlo based treatment planning in proton therapy D. Pross, S. Wuyckens, S. Deffet, E. Sterpin, J. A. Lee and K. Souris. Submited.
