TOPAS
TOPAS simulates proton transport using Monte Carlo methods to enable accurate dose calculation and modeling of proton therapy treatment heads and CT-based patient geometries.
Key Features:
- Comprehensive modeling capabilities: Models passive scattering and scanning beam treatment heads and supports CT-based patient geometries for simulation.
- Dose scoring and fluence calculations: Performs dose scoring and fluence calculation for treatment head and patient geometry simulations.
- Four-dimensional simulation: Supports 4D simulations that accommodate temporal variations in beam delivery and patient geometry.
- Phase-space management: Supports saving and restarting phase spaces for particle transport analysis and workflow continuity.
Scientific Applications:
- UCSF eye treatment head modeling: Has been used to model the UCSF eye treatment head for proton therapy simulations.
- MGH stereotactic radiosurgery treatment head: Has been applied to model MGH stereotactic alignment in a radiosurgery treatment head.
- MGH gantry treatment heads: Has been used to model MGH gantry treatment heads in both passive scattering and scanning modes.
- Validation against measurements: Initial validation demonstrated excellent agreement with measured data for beam delivery in 3D and 4D simulations.
Methodology:
TOPAS wraps and extends an established general-purpose Monte Carlo code to implement proton transport, CT-based geometry modeling, dose scoring, fluence calculation, phase-space handling, and four-dimensional simulation.
Topics
Details
- License:
- Proprietary
- Maturity:
- Mature
- Cost:
- Free of charge (with restrictions)
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++
- Added:
- 5/27/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Perl J, Shin J, Schümann J, Faddegon B, Paganetti H. TOPAS: An innovative proton Monte Carlo platform for research and clinical applications. Medical Physics. 2012;39(11):6818-6837. doi:10.1118/1.4758060. PMID:23127075. PMCID:PMC3493036.
DOI: 10.1118/1.4758060
PMID: 23127075
PMCID: PMC3493036
Funding: - National Institutes of Health: R01 CA 140735‐01