Evaluation of TOPAS MC tool performance in optical photon transport and radioluminescence-based dosimetry

Citation

Khodaei, Amin and Moradi, Farhad and Oresegun, Adebiyi and Zubair, H. T. and Bradley, D. A. and Ibrahim@Ghazali, Siti Azlida and Abdul Rashid, Hairul Azhar (2024) Evaluation of TOPAS MC tool performance in optical photon transport and radioluminescence-based dosimetry. Biomedical Physics & Engineering Express, 10 (5). 055034. ISSN 2057-1976

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Abstract

Radiation therapy plays a pivotal role in modern cancer treatment, demanding precise and accurate dose delivery to tumor sites while minimizing harm to surrounding healthy tissues. Monte Carlo simulations have emerged as indispensable tools for achieving this precision, offering detailed insights into radiation transport and interaction at the subatomic level. As the use of scintillation and luminescence dosimetry becomes increasingly prevalent in radiation therapy, there arises a need for validated Monte Carlo tools tailored to optical photon transport applications. In this paper, an evaluation process of the TOPAS (TOol for PArticle Simulation) Monte Carlo tool for Cerenkov light generation, optical photon transport and radioluminescence based dosimetry is presented. Three distinct sources of validation data are utilized: one from a published set of experimental results and two others from simulations performed with the Geant4 code. The methodology employed for evaluation includes the selection of benchmark experiments, making use of opt3 and opt4 Geant4 physics models and simulation setup, with observed slight discrepancies within the calculation uncertainties. Additionally, the complexities and challenges associated with modeling optical photons generation through luminescence or Cerenkov radiation and their transport are discussed. The results of our evaluation suggests that TOPAS can be used to reliably predict Cerenkov generation, luminescence phenomenon and the behavior of optical photons in common dosimetry scenarios

Item Type: Article
Uncontrolled Keywords: cancer treatment
Subjects: R Medicine > RC Internal medicine > RC0254 Neoplasms. Tumors. Oncology (including Cancer)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 01 Oct 2024 01:24
Last Modified: 01 Oct 2024 01:24
URII: http://shdl.mmu.edu.my/id/eprint/13000

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