Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations
Geometry of the cell used in the current model with the range of dimensions of each component. Dimensions are based on the work of Ref. 10.
(a) Cells are separated—two distinct real eigenvalues, (b) cells are touching at a single point—two equal real eigenvalues, (c) cells are overlapping—two complex eigenvalues.
Flow chart showing the structure of the MATLAB© algorithm used to generate the geometrical properties of individual cells in a macroscopic tumor.
Enlarged visualization showing the individual cells in the distribution—100 000 cells.
Illustration of the slicing method used to optimize the MATLAB© code.
Enlarged GEANT4 visualization showing the particle trajectories within an individual cell originating from a monoenergetic 200 keV electron source (green–electron trajectories).
Simulation results showing the difference in ionization events in all 8800 cells originating from a monoenergetic 80 keV gamma source with a 250 eV production cut-off for electrons when using a simple water medium and realistic chemical compositions for each of the cell components.
The chemical composition and density of membrane, nucleus, reticulum, and cytoplasm which were used in the GEANT4 Monte Carlo simulations. Data from Ref. 10.
The cell component dimensions, rotation, and positional range properties of the cells which were generated in MATLAB© and utilized in GEANT4.
The significance of using realistic molecular compositions and densities in each of the cell regions vs a simple water medium (250 eV energy cut-off).
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