Literature DB >> 8413029

Calculation of absorbed dose ratios using correlated Monte Carlo sampling.

C M Ma1, A E Nahum.   

Abstract

A correlated sampling variance reduction technique has been implemented in the EGS4 (Electron Gamma Shower version 4) Monte Carlo code system in order to calculate correction factors for radiation dosimeters. These correction factors are calculated as the ratios of absorbed doses in various geometries irradiated by photon and electron beams. In this paper the efficiency and accuracy of the calculation of the absorbed dose ratios with correlated Monte Carlo sampling is discussed. Theoretical analysis shows that the calculation efficiency and accuracy increases with the degree of correlation between the calculated doses in the individual geometries. Calculations of the absorbed doses in thin slab geometries and in air-filled ionization chambers have been performed. The results show that the gain in computing efficiency is up to a thousand fold for the calculations of the effect of the central electrode material and size on the response of cylindrical ionization chambers. The calculation accuracy (systematic uncertainty) is significantly improved when good correlation exists between the calculated doses in similar thin-slab geometries.

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Year:  1993        PMID: 8413029     DOI: 10.1118/1.597163

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  3 in total

1.  Estimating statistical uncertainty of Monte Carlo efficiency-gain in the context of a correlated sampling Monte Carlo code for brachytherapy treatment planning with non-normal dose distribution.

Authors:  Nitai D Mukhopadhyay; Andrew J Sampson; Daniel Deniz; Gudrun Alm Carlsson; Jeffrey Williamson; Alexandr Malusek
Journal:  Appl Radiat Isot       Date:  2011-09-29       Impact factor: 1.513

2.  A method to improve accuracy and precision of water surface identification for photon depth dose measurements.

Authors:  J D Ververs; M J Schaefer; I Kawrakow; J V Siebers
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

3.  GPU-accelerated Monte Carlo simulation of MV-CBCT.

Authors:  Mengying Shi; Marios Myronakis; Matthew Jacobson; Dianne Ferguson; Christopher Williams; Mathias Lehmann; Paul Baturin; Pascal Huber; Rony Fueglistaller; Ingrid Valencia Lozano; Thomas Harris; Daniel Morf; Ross I Berbeco
Journal:  Phys Med Biol       Date:  2020-12-02       Impact factor: 4.174

  3 in total

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