The technological development of radiotherapeutic devices relies on understanding how ionizing radiation (X-rays, electrons, protons, heavier ions, etc.) scatters and loses energy while interacting with treatment devices. The Monte Carlo (MC) method has demonstrated high accuracy in modeling beam-modifying devices, imaging devices, radionuclide sources, and quantifying absorbed doses in patients and radiation detectors, among many other applications.
The TOPAS Collaboration, integrated by the University of California San Francisco and Massachusetts General Hospital, has developed the NIH/NCI-funded OpenTOPAS code for several years. OpenTOPAS brings the TOPAS project (project was first led by Dr. Paganetti (MGH) and then by Dr. Faddegon (UCSF) as Principal Investigators) to a new, open release stage software to facilitate the use of MC for Medical Physics applications.
Relevant publications
- Ortiz R, Sawkey D, Faddegon B, D-Kondo N and Ramos-Méndez J 2024 An interface tool to parametrize treatment plans for the TrueBeam radiotherapy system into TOPAS parameter control files for Monte Carlo simulation, Physica Medica 124 104485
- Ramos-Mendez J 2023 Dosimetric characterization of single- and dual-port temporary tissue expanders for postmastectomy radiotherapy using Monte Carlo methods, Frontiers in Oncology
- Faddegon B, Ramos-Méndez J, Schuemann J, McNamara A, Shin J, Perl J and Paganetti H 2020 The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research Physica Medica 72 114–21 doi:10.1016/j.ejmp.2020.03.019
- Perl J, Shin J, Schümann J, Faddegon B and Paganetti H 2012 TOPAS: An innovative proton Monte Carlo platform for research and clinical applications Medical Physics 39 6818–37 doi:10.1118/1.4758060
- Ramos-Mendez J, Ortiz R, Schuemann J, Paganetti H and Faddegon B 2024 TOPAS simulation of photoneutrons in radiotherapy: accuracy and speed with variance reduction Physics in Medicine and Biology doi:10.1088/1361-6560/ad4303