Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit.
Authors
McNamara, ARamos-Méndez, J
Perl, J
Held, K
Dominguez, N
Moreno, E
Henthorn, N
Kirkby, Karen J
Meylan, S
Villagrasa, C
Incerti, S
Faddegon, B
Paganetti, H
Schuemann, J
Affiliation
Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, 30 Fruit St, Boston, MA 02114Issue Date
2018-09-06
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Computational simulations, such as Monte Carlo track structure simulations, offer a powerful tool for quantitatively investigating radiation interactions within cells. The modelling of the spatial distribution of energy deposition events as well as diffusion of chemical free radical species, within realistic biological geometries, can help provide a comprehensive understanding of the effects of radiation on cells. Track structure simulations, however, generally require advanced computing skills to implement. The TOPAS-nBio toolkit, an extension to TOPAS (TOol for PArticle Simulation), aims to provide users with a comprehensive framework for radiobiology simulations, without the need for advanced computing skills. This includes providing users with an extensive library of advanced, realistic, biological geometries ranging from the micrometer scale (e.g. cells and organelles) down to the nanometer scale (e.g. DNA molecules and proteins). Here we present the geometries available in TOPAS-nBio.Citation
Geometrical structures for radiation biology research as implemented in the TOPAS-nBio toolkit. 2018, 63(17): 175018 Phys Med BiolJournal
Physics in Medicine and BiologyDOI
10.1088/1361-6560/aad8ebPubMed ID
30088810Type
ArticleLanguage
enISSN
1361-6560ae974a485f413a2113503eed53cd6c53
10.1088/1361-6560/aad8eb
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