2015
DOI: 10.4103/2319-4170.167078
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Abstract: Background: This study presents the Monte Carlo N-Particles Transport Code, Extension (MCNPX) simulation of proton dose distributions in a water phantom. Methods:In this study, fluence and dose distributions from an incident proton pencil beam were calculated as a function of depth in a water phantom. Moreover, lateral dose distributions were also studied to understand the deviation among different MC simulations and the pencil beam algorithm. MCNPX codes were used to model the transport and interactions of pa… Show more

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Cited by 6 publications
(19 citation statements)
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References 17 publications
(19 reference statements)
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“…A componente de dose devido a partículas secundárias é cerca de três ordens de grandeza menor. Assim, essas partículas tornam-se importantes para questões de radioproteção, mas não para fins terapêuticos 21 .…”
Section: O Cálculo De Doseunclassified
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“…A componente de dose devido a partículas secundárias é cerca de três ordens de grandeza menor. Assim, essas partículas tornam-se importantes para questões de radioproteção, mas não para fins terapêuticos 21 .…”
Section: O Cálculo De Doseunclassified
“…O principal mecanismo de interação dos prótons com a matéria se dá por meio do espalhamento elástico com o campo elétrico dos átomos. O modelo de multiespalhamento coulombiano (MSC) que descreve esse processo foi desenvolvido por Molière em 1947 21 . Devido à natureza estocástica dos eventos, a distribuição de prótons sofre um alargamento espacial e angular ao longo de sua propagação, que pode ser descrito aproximadamente por uma Gaussiana, previsto pela teoria de Fermi-Eyges 24 .…”
Section: O Transporte De Prótonsunclassified
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“…On the other hand, Lee et al produce a paper on the MCNPX simulation of proton dose distribution in CT phantoms [13]. Apart from that, Lee C.C et al published a paper on MCNPX of proton dose distribution in water phantom that study the fluence and dose distribution of proton in water phantom [14]. Monte Carlo (MC) technique is preferred among the researcher due to its efficient & accurate WET computation competence to model the model of protons and secondary particles propagation [15][16].…”
Section: Introductionmentioning
confidence: 99%