scholarly journals Application of Monte-Carlo Code to dose distribution calculation in a case of lung cancer by the emitted photon beams from Linear Accelerator

2015 ◽  
Vol 5 (4) ◽  
pp. 39-44
Author(s):  
Thanh Xuan Le ◽  
Cam Thu Nguyen Thi ◽  
Van Nghia Tran ◽  
Hong Loan Truong Thi ◽  
Thanh Nhon Vo
Keyword(s):  
Lung Cancer ◽  
Monte Carlo ◽  
General Hospital ◽  
Treatment Planning ◽  
Dose Distribution ◽  
Linear Accelerator ◽  
Treatment Plan ◽  
Monte Carlo Code ◽  
Photon Beams ◽  
Distribution Calculation

The dose distribution calculation is one of the major steps in radiotherapy. In this paper the Monte Carlo code MCNP5 has been applied for simulation 15MV photon beams emitted from linear accelerator in a case of lung cancer of the General Hospital of Kien Giang. The settings for beam directions, field sizes and isocenter position used in MCNP5 must be the same as those in treatment plan at the hospital to ensure the results from MCNP5 are accurate. We also built a program CODIM by using MATLAB­® programming software. This program was used to construct patient model from lung CT images obtained from cancer treatment cases at the General Hospital of Kien Giang and then MCNP5 code was used to simulate the delivered dose in the patient. The results from MCNP5 show that there is a difference of 5% in comparison with Prowess Panther program – a semi-empirical simulation program which is being used for treatment planning in the General Hospital of Kien Giang. The success of the work will help the planners to verify the patient dose distribution calculated from the treatment planning program being used at the hospital.

scholarly journals Method for calculation the absolute dose in the Monte Carlo simulation

2019 ◽  
Vol 2 (5) ◽  
pp. 90-96
Author(s):  
Oanh Thi Luong ◽  
Luong Thanh Dang ◽  
Tai Thanh Duong
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
General Hospital ◽  
Dose Distribution ◽  
Linear Accelerator ◽  
Photon Beams ◽  
Ion Chamber ◽  
Measured Dose ◽  
The Absolute ◽  
Good Agreement

In this study, we presented the method for calculation the absolute dose in the Monte Carlo simulation following the prescription of Popescu et al for the 6 MV photon energy. The BEAMnrc was used to simulate 6 MV photon beams from a Siemens Primus M5497 linear accelerator at DongNai general hospital. The DOSXYZnrc was then used to calculate the dose distribution in a homogeneous phantom (in form of CT images). The absolute dose obtained from the MC and TPS were compared with measured ones using an ion chamber (Farmer Type Chamber FC65-P, IBA). The average doses discrepancy between the simulated and measured dose was 0.53±0.37% and between the simulated and TPS was 1.00±0.51%. Results showed good agreement between simulated, measured and calculated dosed on a homogeneous phantom.

DOSE DISTRIBUTION CALCULATION IN SKIN CANCER TREATMENT USING LEIPZIG APPLICATOR

2010 ◽  
Vol 24 (05) ◽  
pp. 599-604
Author(s):  
ALI ASGHAR MOWLAWI ◽  
MAJED YAZDANI
Keyword(s):  
Monte Carlo ◽  
Skin Cancer ◽  
Cancer Treatment ◽  
Dose Distribution ◽  
Ionization Chamber ◽  
Monte Carlo Code ◽  
Tumor Treatment ◽  
Beneficial Effects ◽  
Treatment Planning Systems ◽  
Distribution Calculation

The combination of 192 Ir seed with the Leipzig applicators is used in a considerable number of clinical trials for skin cancer treatment. As is known, the beneficial effects of ionizing radiation for tumor treatment depends on the dosimetry accuracy. Nowadays, dosimetry calculations are supported by the characteristics provided by the manufacturer, which have been obtained from measurements with an ionization chamber in a phantom. Despite their benefit, the experimental data involves errors related to the positioning, energy, and angular dependence of the detectors. Thus, in order to get a detailed and more accurate dosimetry, the Monte Carlo code MCNP4C2 — Monte Carlo Neutron Particle, 4C2 version — has been employed to analyze the dose distribution in depth and at the surface in the skin cancer treatment using Leipzig applicators. On the other hand, some different measurements have been taken to validate the method and compare results. The results for this material of phantom (the skin with 0.5 cm thick over infinite soft tissue) can be used in treatment planning systems and also for computation of model dependent parameters like anisotropy dose function.

Clinical introduction of Monte Carlo treatment planning: A different prescription dose for non-small cell lung cancer according to tumor location and size

2010 ◽  
Vol 96 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Noëlle C. van der Voort van Zyp ◽  
Mischa S. Hoogeman ◽  
Steven van de Water ◽  
Peter C. Levendag ◽  
Bronno van der Holt ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Monte Carlo ◽  
Small Cell Lung Cancer ◽  
Treatment Planning ◽  
Cell Lung Cancer ◽  
Tumor Location ◽  
Small Cell ◽  
Small Cell Lung ◽  
Prescription Dose

TH-E-224C-03: Implementation of Monte Carlo Code VMC++ for Photon Beam Treatment Planning

2006 ◽  
Vol 33 (6Part23) ◽  
pp. 2293-2293
Author(s):  
L Tillikainen ◽  
S Siljamäki
Keyword(s):  
Monte Carlo ◽  
Treatment Planning ◽  
Photon Beam ◽  
Monte Carlo Code

scholarly journals Characterization of laser-driven electron and photon beams using the Monte Carlo code FLUKA

2014 ◽  
Vol 32 (2) ◽  
pp. 233-241 ◽  
Author(s):  
F. Fiorini ◽  
D. Neely ◽  
R.J. Clarke ◽  
S. Green
Keyword(s):  
Monte Carlo ◽  
Electron Temperature ◽  
Spectral Characteristics ◽  
Simulation Method ◽  
Target Thickness ◽  
Monte Carlo Code ◽  
X Rays ◽  
Photon Beams ◽  
X Ray ◽  
Plasma Effects

AbstractWe present a new simulation method to predict the maximum possible yield of X-rays produced by electron beams accelerated by petawatt lasers irradiating thick solid targets. The novelty of the method lies in the simulation of the electron refiluxing inside the target implemented with the Monte Carlo code Fluka. The mechanism uses initial theoretical electron spectra, cold targets and refiluxing electrons forced to re-enter the target iteratively. Collective beam plasma effects are not implemented in the simulation. Considering the maximum X-ray yield obtained for a given target thickness and material, the relationship between the irradiated target mass thickness and the initial electron temperature is determined, as well as the effect of the refiluxing on X-ray yield. The presented study helps to understand which electron temperature should be produced in order to generate a particular X-ray beam. Several applications, including medical and security imaging, could benefit from laser generated X-ray beams, so an understanding of the material and the thickness maximizing the yields or producing particular spectral characteristics is necessary. On the other more immediate hand, if this study is experimentally reproduced at the beginning of an experiment in which there is an interest in laser-driven electron and/or photon beams, it can be used to check that the electron temperature is as expected according to the laser parameters.

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