2007
DOI: 10.1016/j.nima.2006.10.079
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Monte Carlo validation in the diagnostic radiology range

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Cited by 4 publications
(3 citation statements)
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“…Monte Carlo simulations provide flexibility in the design of phantom and irradiation systems, which are either very expensive or exceptionally complex and demanding to setup experimentally (Kalender 1981, Chan and Doi 1982, Dance and Day 1984, Barnea and Dick 1986, Boone and Seibert 1988, Boone et al 2000b, Boone et al 2002a, Saunders and Samei 2006, Ullman et al 2006, Ghafarain et al 2007, Al Kafi et al 2009, Cunha et al 2010, Sisniega et al 2013. Monte Carlo simulations also have the advantage of being able to replicate clinical situations and allow validation of technologies before implementation (Chan and Doi 1983, Nikolopoulos et al 2007, Salvat et al 2008, Myronakis et al 2013, Del Lama et al 2016. For example, a commonly used Monte Carlo simulation is PENELOPE (Penetration and energy loss of positrons and electrons), which uses the FORTRAN computer language and has a set of subroutines which perform simulations of electron-photon coupled transport for a wide energy range in arbitrary materials and geometries (Sempau et al 2001, Sempau et al 2003, Salvat et al 2011.…”
Section: Introductionmentioning
confidence: 99%
“…Monte Carlo simulations provide flexibility in the design of phantom and irradiation systems, which are either very expensive or exceptionally complex and demanding to setup experimentally (Kalender 1981, Chan and Doi 1982, Dance and Day 1984, Barnea and Dick 1986, Boone and Seibert 1988, Boone et al 2000b, Boone et al 2002a, Saunders and Samei 2006, Ullman et al 2006, Ghafarain et al 2007, Al Kafi et al 2009, Cunha et al 2010, Sisniega et al 2013. Monte Carlo simulations also have the advantage of being able to replicate clinical situations and allow validation of technologies before implementation (Chan and Doi 1983, Nikolopoulos et al 2007, Salvat et al 2008, Myronakis et al 2013, Del Lama et al 2016. For example, a commonly used Monte Carlo simulation is PENELOPE (Penetration and energy loss of positrons and electrons), which uses the FORTRAN computer language and has a set of subroutines which perform simulations of electron-photon coupled transport for a wide energy range in arbitrary materials and geometries (Sempau et al 2001, Sempau et al 2003, Salvat et al 2011.…”
Section: Introductionmentioning
confidence: 99%
“…This is because they 2012 JINST 7 P11021 neglect energy redistribution due to scatter radiation, Compton electrons, bremsstrahlung, fluorescence photons, Auger and Koster-Cronig electrons. On the other hand, the stochastic processes of radiation transport have been studied efficiently through Monte Carlo simulation [16][17][18][19][20][21][22][23][24][25][26][27][28]. Several general Monte Carlo packages are available (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Several general Monte Carlo packages are available (e.g. TART, PENELOPE, MCNP, GEANT4, GATE, EGSnrcMP) [16,17,22,23,25]. Their design for complex geometries of particle showers are developed for broad uses, thus, their specialisation is constrained, unless non-trivial coding is developed with specific language or script [16,17,25].…”
Section: Introductionmentioning
confidence: 99%