TOPAS: An innovative proton Monte Carlo platform for research and clinical applications
SLAC National Accelerator Laboratory · University of California, San Francisco · +3 more institutions
Abstract
Our approach was to take one of the already-established general purpose Monte Carlo codes and wrap and extend it to create a specialized user-friendly tool for proton therapy. The resulting tool, TOol for PArticle Simulation (TOPAS), should make Monte Carlo simulation more readily available for research and clinical physicists. TOPAS can model a passive scattering or scanning beam treatment head, model a patient geometry based on computed tomography (CT) images, score dose, fluence, etc., save and restart a phase space, provides advanced graphics, and is fully four-dimensional (4D) to handle variations in beam delivery and patient geometry during treatment. A custom-designed TOPAS parameter control system was placed at the heart of the code to meet requirements for ease of use, reliability, and repeatability without sacrificing flexibility.
We built and tested the TOPAS code. We have shown that the TOPAS parameter system provides easy yet flexible control over all key simulation areas such as geometry setup, particle source setup, scoring setup, etc. Through design consistency, we have insured that user experience gained in configuring one component, scorer or filter applies equally well to configuring any other component, scorer or filter. We have incorporated key lessons from safety management, proactively removing possible sources of user error such as line-ordering mistakes. We have modeled proton therapy treatment examples including the UCSF eye treatment head, the MGH stereotactic alignment in radiosurgery treatment head and the MGH gantry treatment heads in passive scattering and scanning modes, and we have demonstrated dose calculation based on patient-specific CT data. Initial validation results show agreement with measured data and demonstrate the capabilities of TOPAS in simulating beam delivery in 3D and 4D.
Citation impact
- FWCI
- 20.32
- Percentile
- 100%
- References
- 49
Authors
5- JPJoseph PerlCorresponding
SLAC National Accelerator Laboratory
- JSJae‐Gook Shin
University of California, San Francisco, UCSF Helen Diller Family Comprehensive Cancer Center
- JSJ. Schümann
Harvard University, Massachusetts General Hospital
- BFBruce Faddegon
University of California, San Francisco, UCSF Helen Diller Family Comprehensive Cancer Center
- HPHarald Paganetti
Harvard University, Massachusetts General Hospital
Topics & keywords
- Monte Carlo method
- Medical physics
- Proton therapy
- Proton
- Computer science
- Statistical physics
- Physics
- Nuclear physics