Literature DB >> 28517483

SU-E-T-475: Nano-Dosimetric Track Structure Scoring including Biological Modeling with TOPAS-NBio.

J Schuemann1.   

Abstract

PURPOSE: To develop a nano-dosimetric Monte Carlo simulation package, TOPAS-nBio, based on the TOPAS (TOol for PArticle Simulations) framework that is being developed in a collaboration between the Massachusetts General Hospital (MGH), the SLAC National Accelerator Laboratory and the University of California, San Francisco. The goal is to incorporate biological processes on a sub-cell level that will provide the basis for a wide range of research in the field of radiobiology, such as bystander effects, biological dose calculations and effects of nano-particles on radiation therapy.
METHODS: The TOPAS framework has been utilized to extend the functionality of this tool for particle transport to include nano- dosimetry. The physics lists of TOPAS have been extended to include efforts by the Geant4-DNA group to model physics on nanometer scales, including chemical processes of the first millisecond after irradiation. TOPAS-nBio uses the functionality of TOPAS to score energy depositions on nanometer scales. A simulation of the setup of a cell culture irradiation experiment has been used as to test the feasibility of the project.
RESULTS: Track structures for an irradiation of a cell culture experiment were successfully obtained. Delta-electron distributions have been produced and single track delta electrons and their energy depositions were observed.
CONCLUSIONS: This study is a first step in the development of TOPAS-nBio, a tool that aims at bringing nanometer scale radiation physics and biology together and make Monte Carlo simulations accessible for all radiobiology researchers. The results presented here show a first proof of concept for the development of TOPAS-nBio.
© 2012 American Association of Physicists in Medicine.

Keywords:  Cell cultures; Dosimetry; Electrodeposition; Monte Carlo methods; Nanostructures; Radiation therapy; Researchers

Year:  2012        PMID: 28517483     DOI: 10.1118/1.4735564

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  1 in total

1.  Accelerated Monte Carlo simulation on the chemical stage in water radiolysis using GPU.

Authors:  Zhen Tian; Steve B Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2017-03-21       Impact factor: 3.609

  1 in total

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