Premium
SU‐E‐T‐697: Online Monte‐Carlo‐Accurate Real‐Time Proton Dose Calculator
Author(s) -
yepes P,
Mirkovic D
Publication year - 2011
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1118/1.3612659
Subject(s) - monte carlo method , proton therapy , calculator , computer science , proton , interface (matter) , upload , computational science , field (mathematics) , computational physics , physics , mathematics , nuclear physics , statistics , operating system , bubble , maximum bubble pressure method , pure mathematics
Purpose: Demonstrate the feasibility of a online tool to provide Monte‐Carlo accurate therapeutic proton dose distributions. Methods: The Fast Dose Calculator (FDC), a fast track‐repeating algorithm for proton therapy, has been deployed on the High Performance Research Blue BioU IBM computer cluster at Rice University. FDC utilizes a database of discretized proton trajectories in water generated with GEANT4. Information about the energy deposited, length and direction is stored for each trajectory step. Proton trajectories and dose distributions in any other material are extrapolated from the database by scaling step lengths and angles. A web interface to upload anonymized patient and field data to be processed by the Blue BioU implementation of FDC has been developed. Once the data is uploaded, the website user can request a calculation of the dose distribution for a particular field configuration. The results can be displayed on the website and compared with dose distributions calculated with alternative methods. Results: Doses calculated with FDC reproduced the results obtained with traditional Monte Carlos, i.e. GEANT4, within 2%. The web interface with the Blue BioU back‐end can deliver Monte‐Carlo accurate dose distributions for proton treatment plans within a few seconds. Conclusions: An online real‐time tool for proton dose calculations has been developed. The tool could be utilized for treatment plan validation and radiation treatment research.