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Energy deposition and dose enhancement using Monte Carlo derivative sampling: applications in brachytherapy

Authors:

H. Khan,

National University of Computer and Emerging Sciences, PK
About H.
Department of Sciences & Humanitie
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Z.U. Koreshi,

Air University, PK
About Z.U.
Faculty of Graduate Studies
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U. Aziz ,

Air University, PK
About U.
Department of Mechatronics Engineering
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S.R. Sheikh,

Air University, PK
About S.R.
Department of Mechatronics Engineering
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S.A. Ahmad

National Defence Univeristy, PK
About S.A.
Department of Strategic Studies
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Abstract

Energy deposition and radiation dose distribution by the use of gold a high-Z biocompatible element, in water solution, is estimated as a function of source energy typical of brachytherapy sources (40 keV-1 MeV), solution concentration (5-25 mg Au/g H2O) and solution placement (1-2 cm concentric shells). Monte Carlo (MC) simulations are carried out with the MCNP5 code, compared with other widely used MC codes such as PENELOPE and GEANT, to validate the dose estimates which may vary considerably due to artifacts and data libraries, and extended to a sensitivity analysis using perturbation estimates. The energy deposition and radiation dose are estimated as a function of source radiation energy and concentration of gold in solution. MC simulation is carried out in the coupled photon-electron radiation mode for x-rays emanating from a radiation source implanted in a water cell for which results are valid for a cancer cell modeled by a spherical water phantom. For carrying out sensitivity studies, the Monte Carlo perturbation feature, with material perturbations, was used to sample derivatives in a single run which were used in a Taylor series to estimate both dose and Dose Enhancement Factor (DEF) from single MC runs. Close agreement was found between dose estimates from MCNP5, PENELOPE and GEANT, in spite of artifacts such as cutoffs in electron transport. It was also found that dose increases with energy of a source, and that dose enhancement, for a given concentration, decreases with source energy. The perturbation estimates result in enhanced computational efficiency.
How to Cite: Khan, H., Koreshi, Z.U., Aziz, U., Sheikh, S.R. and Ahmad, S.A., 2021. Energy deposition and dose enhancement using Monte Carlo derivative sampling: applications in brachytherapy. Journal of the National Science Foundation of Sri Lanka, 49(4), pp.493–501. DOI: http://doi.org/10.4038/jnsfsr.v49i4.9476
Published on 31 Dec 2021.
Peer Reviewed

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