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We have used MCNPX to set the apertures and spacing of collimators, to model dose distributions in water, to check and modify beam scattering and energy modulating components, and to check radiation shields.
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The aim of this study is the assessment of the Geant4 capabilities in accurately modeling of dose distribution in a heterogeneous water phantom.
Previous studies using Monte Carlo and AXB calculations proved that conventional model based algorithms predicted dose distributions in bone that were closer to D m distributions than to D w distributions [ 34, 42].
With each evolution of the algorithms, additional physical processes are incorporated into the models, improving agreement between the simulated dose distributions and the current gold standard Monte Carlo simulations (Han et al. 2011).
The normal tissue complication probability (NTCP) models that are currently being proposed for estimation of risk of harm following radiotherapy are mainly based on simplified empirical models, consisting of dose distribution parameters, possibly combined with clinical or other treatment-related factors.
Dosimetric verification of the dose optimisation model used in endovascular brachytherapy, evaluation of the optimised dose distributions using elaborated indices.
Dose distributions were skewed in order to model the log transformation so as to better satisfy the ANOVA assumption of normally distributed outcomes.
Early NTCP models, like the LKB [ 25] and the univariate logistic regression model [ 26, 27], are based on information derived from dose-volume histograms generated from dose distributions in the target volumes and the surrounding organs that are at risk.
We can assign the great information about inhomogeneous dose distributions and corresponding outcome data in large patient populations into few-parametric models [ 11].
Planned 3D radiation dose distributions will be digitally registered with kidney functional changes in order to generate dose response models.
Small-scale dose distributions were obtained by applying a 90Y-dose point kernel to the microsphere distributions.
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