Mechanistic model of the cells irradiation using the stochastic biophysical input
by Krzysztof Wojciech Fornalski
International Journal of Low Radiation (IJLR), Vol. 9, No. 5/6, 2014

Abstract: In this paper a full description of the mechanistic model of the cells irradiation is presented. The model is based on the computational Quasi-Markov Chain Monte Carlo method with a stochastic tree of probabilities and using the biophysical input. The biophysics of the cells is described by the probabilities and probability distributions provided as an input. Many biophysical aspects are implemented into the model, i.e. the adaptive response effect or the bystander effect. It results in the sigmoidal relationships for carcinogenic risk as a function of the irradiation. The methodology used makes the model universal and practical for the simulations of general processes. However, the presented theoretical model does not describe the real cells and tissues. Also the exposure geometry, type of radiation as well as microdosimetry are not taken into account in this model. The model is focused mainly on the creation of general and maximal wide mathematical description of irradiated hypothetical cells treated as complex physical systems.

Online publication date: Fri, 27-Mar-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Low Radiation (IJLR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com