Physical modelling of proton and heavy ion radiation using Geant4

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Date

2012

Authors

Douglass, M.
Bezak, E.

Editors

Evers, M.
Kluth, P.
Tims, S.
Wallner, A.
Williams, E.

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Conference paper

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EPJ Web of Conferences, 2012 / Evers, M., Kluth, P., Tims, S., Wallner, A., Williams, E. (ed./s), vol.35, pp.04001-1-04001-5

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M. Douglass, E. Bezak

Conference Name

1st Heavy Ion Accelerator Symposium on Fundamental and Applied Science (HIAS) (11 Apr 2012 - 13 Apr 2012 : Canberra, Australia)

Abstract

Protons and heavy ion particles are considered to be ideal particles for use in external beam radiotherapy due to superior properties of the dose distribution that results when these particles are incident externally and due to their relative biological effectiveness. While significant research has been performed into the properties and physical dose characteristics of heavy ions, the nuclear reactions (direct and fragmentation) undergone by He⁴, C¹² and Ne²⁰ nuclei used in radiotherapy in materials other than water is still largely unexplored. In the current project, input code was developed for the Monte Carlo toolkit Geant 4 version 9.3 to simulate the transport of several mono-energetic heavy ions through water. The relative dose contributions from secondary particles and nuclear fragments originating from the primary particles were investigated for each ion in both water and dense bone (ICRU) media. The results indicated that the relative contribution to the total physical dose from nuclear fragments increased with both increasing particle mass and with increasing medium density. In the case of 150 MeV protons, secondary particles were shown to contribute less than 0.5% of the peak dose and as high as 25% when using 10570 MeV neon ions in bone. When water was substituted for a bone medium, the contributions from fragments increased by more than 6% for C¹² and Ne²⁰.

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© Owned by the authors, published by EDP Sciences, 2012. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

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