Open AccessA Monte Carlo evaluation of dose distribution of commercial treatment planning systems in heterogeneous media
Author(s) -
Mohsen Hasani,
Kheirollah Mohammadi,
Mahdi Ghorbani,
Somayeh Gholami,
Courtney Knaup
Publication year - 2019
Publication title -
journal of cancer research and therapeutics/journal of cancer research and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 39
eISSN - 0973-1482
pISSN - 1998-4138
DOI - 10.4103/jcrt.jcrt_1210_16
Subject(s) - monte carlo method , convolution (computer science) , fast fourier transform , superposition principle , algorithm , range (aeronautics) , radiation treatment planning , nuclear medicine , dosimetry , mathematics , percentage depth dose curve , computer science , physics , materials science , ionization chamber , statistics , radiation therapy , mathematical analysis , medicine , artificial intelligence , ionization , ion , quantum mechanics , artificial neural network , composite material
Calculations from a treatment planning system (TPS) in heterogeneous regions may present significant inaccuracies due to loss of electronic equilibrium. The purpose of this study is to evaluate and quantify the differences of dose distributions computed by some of the newest dose calculation algorithms, including collapsed cone convolution (CCC), fast Fourier transform (FFT) convolution, and superposition convolution, in heterogeneity of the lung.