University of Adelaide Library

Adelaide Research and Scholarship : Schools and Disciplines : School of Chemistry and Physics : Chemistry and Physics publications

Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/73710

Type: Journal article
Title: Development of a randomized 3D cell model for Monte Carlo microdosimetry simulations
Author: Douglass, M.
Bezak, E.
Penfold, S.
Citation: Medical Physics, 2012; 39(6):3509-3519
Publisher: Amer AssocPhysicists Amer Inst Physics
Issue Date: 2012
ISSN: 0094-2405
Statement of
Responsibility: 
Michael Douglass, Eva Bezak and Scott Penfold
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© 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© code was able to grow semi-realistic cell distributions (~2 × 10(8) cells in 1 cm(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.
Keywords: Cells; Tumor Burden; Monte Carlo Method; Radiometry; Algorithms; Time Factors
Rights: © 2012 American Association of Physicists in Medicine
RMID: 0020120728
DOI: 10.1118/1.4719963
Appears in Collections:Chemistry and Physics publications
View citing articles in: Web of Science
Google Scholar
Scopus

There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

© 2008 The University of Adelaide
library@adelaide.edu.au
CRICOS Provider Number 00123M
Service Charter | Copyright | Privacy | Disclaimer