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Title: Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations

Abstract

Purpose: The objective of the current work was to develop an algorithm for growing a macroscopic tumor volume from individual randomized quasi-realistic cells. The major physical and chemical components of the cell need to be modeled. It is intended to import the tumor volume into GEANT4 (and potentially other Monte Carlo packages) to simulate ionization events within the cell regions. Methods: A MATLAB Copyright-Sign code was developed to produce a tumor coordinate system consisting of individual ellipsoidal cells randomized in their spatial coordinates, sizes, and rotations. An eigenvalue method using a mathematical equation to represent individual cells was used to detect overlapping cells. GEANT4 code was then developed to import the coordinate system into GEANT4 and populate it with individual cells of varying sizes and composed of the membrane, cytoplasm, reticulum, nucleus, and nucleolus. Each region is composed of chemically realistic materials. Results: The in-house developed MATLAB Copyright-Sign code was able to grow semi-realistic cell distributions ({approx}2 Multiplication-Sign 10{sup 8} cells in 1 cm{sup 3}) in under 36 h. The cell distribution can be used in any number of Monte Carlo particle tracking toolkits including GEANT4, which has been demonstrated in this work. Conclusions: Using the cell distribution and GEANT4,more » the authors were able to simulate ionization events in the individual cell components resulting from 80 keV gamma radiation (the code is applicable to other particles and a wide range of energies). This virtual microdosimetry tool will allow for a more complete picture of cell damage to be developed.« less

Authors:
; ;  [1]
  1. School of Chemistry and Physics, University of Adelaide, North Terrace, Adelaide 5005, South Australia (Australia) and Department of Medical Physics, Royal Adelaide Hospital, North Terrace, Adelaide 5000, South Australia (Australia)
Publication Date:
OSTI Identifier:
22098883
Resource Type:
Journal Article
Journal Name:
Medical Physics
Additional Journal Information:
Journal Volume: 39; Journal Issue: 6; Other Information: (c) 2012 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-2405
Country of Publication:
United States
Language:
English
Subject:
61 RADIATION PROTECTION AND DOSIMETRY; ALGORITHMS; BIOPHYSICS; CYTOPLASM; EQUATIONS; GAMMA RADIATION; IONIZATION; KEV RANGE 10-100; MICRODOSIMETRY; MONTE CARLO METHOD; NEOPLASMS; RADIOTHERAPY; SIMULATION

Citation Formats

Douglass, Michael, Bezak, Eva, and Penfold, Scott. Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations. United States: N. p., 2012. Web. doi:10.1118/1.4719963.
Douglass, Michael, Bezak, Eva, & Penfold, Scott. Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations. United States. doi:10.1118/1.4719963.
Douglass, Michael, Bezak, Eva, and Penfold, Scott. Fri . "Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations". United States. doi:10.1118/1.4719963.
@article{osti_22098883,
title = {Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations},
author = {Douglass, Michael and Bezak, Eva and Penfold, Scott},
abstractNote = {Purpose: The objective of the current work was to develop an algorithm for growing a macroscopic tumor volume from individual randomized quasi-realistic cells. The major physical and chemical components of the cell need to be modeled. It is intended to import the tumor volume into GEANT4 (and potentially other Monte Carlo packages) to simulate ionization events within the cell regions. Methods: A MATLAB Copyright-Sign code was developed to produce a tumor coordinate system consisting of individual ellipsoidal cells randomized in their spatial coordinates, sizes, and rotations. An eigenvalue method using a mathematical equation to represent individual cells was used to detect overlapping cells. GEANT4 code was then developed to import the coordinate system into GEANT4 and populate it with individual cells of varying sizes and composed of the membrane, cytoplasm, reticulum, nucleus, and nucleolus. Each region is composed of chemically realistic materials. Results: The in-house developed MATLAB Copyright-Sign code was able to grow semi-realistic cell distributions ({approx}2 Multiplication-Sign 10{sup 8} cells in 1 cm{sup 3}) in under 36 h. The cell distribution can be used in any number of Monte Carlo particle tracking toolkits including GEANT4, which has been demonstrated in this work. Conclusions: Using the cell distribution and GEANT4, the authors were able to simulate ionization events in the individual cell components resulting from 80 keV gamma radiation (the code is applicable to other particles and a wide range of energies). This virtual microdosimetry tool will allow for a more complete picture of cell damage to be developed.},
doi = {10.1118/1.4719963},
journal = {Medical Physics},
issn = {0094-2405},
number = 6,
volume = 39,
place = {United States},
year = {2012},
month = {6}
}