| Issue |
EPJ Web Conf.
Volume 173, 2018
Mathematical Modeling and Computational Physics 2017 (MMCP 2017)
|
|
|---|---|---|
| Article Number | 05005 | |
| Number of page(s) | 4 | |
| Section | Computing Tools and Software Services | |
| DOI | https://doi.org/10.1051/epjconf/201817305005 | |
| Published online | 14 February 2018 | |
https://doi.org/10.1051/epjconf/201817305005
Simulation of Radiation Damage to Neural Cells with the Geant4-DNA Toolkit
1 Laboratory of Radiation Biology, Joint Institute for Nuclear Research, 141980, Dubna
2 Division of Natural Sciences, National University of Mongolia, 210646, Ulaanbaatar
* e-mail: bayarchimeg@jinr.ru
** e-mail: batmunkh@jinr.ru
*** e-mail: dem@jinr.ru
**** e-mail: dorjtoinol@gmail.com
Published online: 14 February 2018
To help in understanding the physical and biological mechanisms underlying effects of cosmic and therapeutic types of radiation on the central nervous system (CNS), we have developed an original neuron application based on the Geant4 Monte Carlo simulation toolkit, in particular on its biophysical extension Geant4-DNA. The applied simulation technique provides a tool for the simulation of physical, physico-chemical and chemical processes (e.g. production of water radiolysis species in the vicinity of neurons) in realistic geometrical model of neural cells exposed to ionizing radiation. The present study evaluates the microscopic energy depositions and water radiolysis species yields within a detailed structure of a selected neuron taking into account its soma, dendrites, axon and spines following irradiation with carbon and iron ions.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.