Literature DB >> 18491527

Efficiency improvements for ion chamber calculations in high energy photon beams.

J Wulff1, K Zink, I Kawrakow.   

Abstract

This article presents the implementation of several variance reduction techniques that dramatically improve the simulation efficiency of ion chamber dose and perturbation factor calculations. The cavity user code for the EGSnrc Monte Carlo code system is extended by photon cross-section enhancement (XCSE), an intermediate phase-space storage (IPSS) technique, and a correlated sampling (CS) scheme. XCSE increases the density of photon interaction sites inside and in the vicinity of the chamber and results-in combination with a Russian Roulette game for electrons that cannot reach the cavity volume-in an increased efficiency of up to a factor of 350 for calculating dose in a Farmer type chamber placed at 10 cm depth in a water phantom. In combination with the IPSS and CS techniques, the efficiency for the calculation of the central electrode perturbation factor Pcel can be increased by up to three orders of magnitude for a single chamber location and by nearly four orders of magnitude when considering the Pcel variation with depth or with distance from the central axis in a large field photon beam. The intermediate storage of the phase-space properties of particles entering a volume that contains many possible chamber locations leads to efficiency improvements by a factor larger than 500 when computing a profile of chamber doses in the field of a linear accelerator photon beam. All techniques are combined in a new EGSnrc user code egs_chamber. Optimum settings for the variance reduction parameters are investigated and are reported for a Farmer type ion chamber. A few example calculations illustrating the capabilities of the egs_chamber code are presented.

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Year:  2008        PMID: 18491527     DOI: 10.1118/1.2874554

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


  13 in total

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Authors:  Malcolm McEwen; Larry DeWerd; Geoffrey Ibbott; David Followill; David W O Rogers; Stephen Seltzer; Jan Seuntjens
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

5.  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

6.  Variation of kQclin,Qmsr (fclin,fmsr) for the small-field dosimetric parameters percentage depth dose, tissue-maximum ratio, and off-axis ratio.

Authors:  Paolo Francescon; Sam Beddar; Ninfa Satariano; Indra J Das
Journal:  Med Phys       Date:  2014-10       Impact factor: 4.071

7.  An Efficiency Studying of an Ion Chamber Simulation Using Vriance Reduction Techniques with EGSnrc.

Authors:  Campos L T; Magalhães L A; de Almeida C E V
Journal:  J Biomed Phys Eng       Date:  2019-06-01

8.  Monte Carlo investigation of collapsed versus rotated IMRT plan verification.

Authors:  Elaine Conneely; Andrew Alexander; Russell Ruo; Eunah Chung; Jan Seuntjens; Mark J Foley
Journal:  J Appl Clin Med Phys       Date:  2014-05-08       Impact factor: 2.102

9.  Optimization of Variance Reduction Techniques used in EGSnrc Monte Carlo Codes.

Authors:  Sangeetha Shanmugasundaram; Sureka Chandrasekaran
Journal:  J Med Phys       Date:  2018 Jul-Sep

10.  Monte Carlo simulations of out-of-field skin dose due to spiralling contaminant electrons in a perpendicular magnetic field.

Authors:  Victor N Malkov; Sara L Hackett; Bram van Asselen; Bas W Raaymakers; Jochem W H Wolthaus
Journal:  Med Phys       Date:  2019-02-14       Impact factor: 4.071

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