title: A stochastic framework for spot-scanning particle therapy.
abstract: In spot-scanning particle therapy, inverse treatment planning is usually limited to finding the optimal beam fluences given the beam trajectories and energies. We address the much more challenging problem of jointly optimizing the beam fluences, trajectories and energies. For this purpose, we design a simulated annealing algorithm with an exploration mechanism that balances the conflicting demands of a small mixing time at high temperatures and a reasonable acceptance rate at low temperatures. Numerical experiments substantiate the relevance of our approach and open new horizons to spot-scanning particle therapy.
authors.forename: Marc
authors.initials: M
authors.lastname: Robini
authors.lastname: Yuemin Zhu
authors.lastname: Wanyu Liu
authors.forename: Isabelle
authors.initials: I
authors.lastname: Magnin
mesh_terms: D000465:Algorithms; D002244:Carbon / Q000627:therapeutic use*; D003198:Computer Simulation; D006801:Humans; D007477:Ions / Q000627:therapeutic use*; D015233:Models, Statistical; D019047:Phantoms, Imaging; D011336:Probability; D011877:Radionuclide Imaging; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted; D020266:Radiotherapy, Conformal / Q000379:methods*; D013269:Stochastic Processes; D013696:Temperature
chemical_list: D007477:Ions; D002244:Carbon