Applications of MCNP simulation in treatment planning: a comparative study

Vahabi, Seyed Milad; Zafarghandi, Mojtaba Shamsaie

doi:10.1007/s00411-020-00841-2

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Monte Carlo method is one of the old and most effective techniques for solving generally complex problems involving particle transport and interactions with matter in complex geometries (Ahdida et al, 2022). Nowadays, the software based on this methodology, such as FLUKA (Battistoni et al, 2015), GEANT4 (Allison et al, 2016), MCNPX (Vahabi & Shamsaie Zafarghandi, 2020), PHITS (Sato et al, 2018), and SRIM (Ziegler, Ziegler, & Biersack, 2010), has been widely used to simulate the particle transport and interactions with matter. In this work, the charged particles interaction with CeBr 3 scintillators were investigated by SRIM and FLUKA Monte Carlo simulation programs.…”

Section: Monte Carlo Simulation Softwarementioning

confidence: 99%

Investigation of charged particles interaction with CeBr3 scintillator by Monte Carlo simulation programs

Mutuwong,

Chaiphaksa,

Kaewkhao

et al. 2024

Suan Sunandha Sci & Tech

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This work aims to investigate the interaction of charged particles (alpha and proton) with the CeBr3 scintillator by using Monte Carlo simulation. The total mass stopping power (TMSP), projected range, ion distributions, and ion ranges in the CeBr3 at an energy range of 0.01 - 10,000 , were computed by SRIM and FLUKA programs. The simulation results show that the TMSP of CeBr3 obtained by both programs is in good agreement. The alpha particle has a higher TMSP of the CeBr3 than the proton. The projected range of alpha and proton particles increases with increasing energy. The projected range of the proton is higher than that of the alpha particle when compared at the same energy. Finally, the 2D visualization of ion distributions and ion ranges for alpha and proton particles was reported.

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Section: Monte Carlo Simulation Softwarementioning

confidence: 99%

Investigation of charged particles interaction with CeBr3 scintillator by Monte Carlo simulation programs

Mutuwong,

Chaiphaksa,

Kaewkhao

et al. 2024

Suan Sunandha Sci & Tech

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“…Several computational codes, based on Monte Carlo simulation, have been used in radiological protection, radiotherapy source dosimetry, planning systems, and other applications PENELOPE [1][2][3][4][5][6], MCNP [7][8][9][10][11], EGSnrc [12][13][14][15], FLUKA [16][17][18][19][20], TOPAS [21][22][23][24][25], GAMOS [26][27][28][29], Geant [30,31].…”

Section: Introductionmentioning

confidence: 99%

Applications of Simulation Codes Based on Monte Carlo Method for Radiotherapy

Knoll¹,

Quevedo²,

Sanchez³

2022

The Monte Carlo Methods - Recent Advances, New Perspectives and Applications

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Monte Carlo simulations have been applied to determine and study different parameters that are challenged in experimental measurements, due to its capability in simulating the radiation transport with a probability distribution to interact with electrosferic electrons and some cases with the nucleus from an arbitrary material, which such particle track or history can carry out physical quantities providing data from a studied or investigating quantities. For this reason, simulation codes, based on Monte Carlo, have been proposed. The codes currently available are MNCP, EGSnrc, Geant, FLUKA, PENELOPE, as well as GAMOS and TOPAS. These simulation codes have become a tool for dose and dose distributions, essentially, but also for other applications such as design clinical, tool for commissioning of an accelerator linear, shielding, radiation protection, some radiobiologic aspect, treatment planning systems, prediction of data from results of simulation scenarios. In this chapter will be present some applications for radiotherapy procedures with use, specifically, megavoltage x-rays and electrons beams, in scenarios with homogeneous and anatomical phantoms for determining dose, dose distribution, as well dosimetric parameters through the PENELOPE and TOPAS code.

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Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations

Gokcekuyu,

Ekinci,

Buyuksungur

et al. 2024

Applied Sciences

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This study investigates the absorption of X-rays in mandibular tissues by comparing real tissues with tissue-equivalent materials using the PHITS Monte Carlo simulation program. The simulation was conducted over a range of X-ray photon energies from 50 to 100 keV, with increments of 5 keV, to evaluate the dose absorbed by different tissues. Real tissues, such as the skin, parotid gland, and masseter muscle, were compared with their tissue-equivalent polymeric materials, including PMMA, Parylene N, and Teflon. The results showed that the real tissues generally absorbed more X-rays than their corresponding equivalents, especially at lower energy levels. For instance, at 50 keV, differences in the absorbed doses reached up to 50% for the masseter muscle and its equivalent, while this gap narrowed at higher energies. The study highlights the limitations of current tissue-equivalent materials in accurately simulating real tissue behavior, particularly in low-energy X-ray applications. These discrepancies suggest that utilizing tissue-equivalent materials may lead to less accurate medical imaging and radiotherapy dose calculations. Future research should focus on improving tissue-equivalent materials and validating simulation results with experimental data to ensure more reliable dosimetric outcomes. This study provides a foundation for refining radiation dose calculations and improving patient safety in clinical applications involving X-rays.

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Applications of MCNP simulation in treatment planning: a comparative study

Cited by 3 publications

References 17 publications

Investigation of charged particles interaction with CeBr3 scintillator by Monte Carlo simulation programs

Investigation of charged particles interaction with CeBr3 scintillator by Monte Carlo simulation programs

Applications of Simulation Codes Based on Monte Carlo Method for Radiotherapy

Comparison of X-Ray Absorption in Mandibular Tissues and Tissue-Equivalent Polymeric Materials Using PHITS Monte Carlo Simulations

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