scholarly journals Validating a virtual source model based in Monte Carlo method for profiles and percent depth doses calculation

2019 ◽  
Vol 7 (2A) ◽  
Author(s):  
Renata Aline Del Nero ◽  
Marcos Vinicius Nakaoka Nakandakari ◽  
Hélio Yoriyaz
Keyword(s):  
Monte Carlo ◽  
Phase Space ◽  
Monte Carlo Method ◽  
Radiation Transport ◽  
Medical Physics ◽  
Source Model ◽  
Good Precision ◽  
Virtual Source ◽  
The Monte Carlo Method ◽  
Space Data

The Monte Carlo method for radiation transport has been adapted for medical physics application. More specifically, it has received more attention in clinical treatment planning with the development of more efficient computer simulation techniques. In linear accelerator modeling by the Monte Carlo method, the phase space data file (phsp) is an alternative representation for radiation source. However, to create a phase space file and obtain good precision in the results, it is necessary detailed information about the accelerator's head and commonly the supplier does not provide all the necessary data. An alternative to the phsp is the Virtual Source Model (VSM). This alternative approach presents many advantages for the clinical Monte Carlo application. This is the most efficient method for particle generation and can provide an accuracy similar when the phsp is used. This research propose a VSM simulation with the use of a Virtual Flattening Filter (VFF) for profiles and percent depth doses calculation. Two different sizes of open fields (40 x 40 cm² and 40 x 40 cm² rotated 45°) were used and two different source to surface distance (SSD) were applied: the standard 100 cm and custom SSD of 370 cm, which is applied in radiotherapy treatments of total body irradiation. The data generated by the simulation was analyzed and compared with experimental data to validate the VSM. This current model is easy to build and test.

The Binary Spatial Partitioning Algorithm for Efficient Tracing of Rays in the Monte Carlo Method for Surface-to-Surface Radiation Transport

2006 ◽  
Author(s):  
Sandip Mazumder
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Binary Tree ◽  
Radiation Transport ◽  
Three Dimensional ◽  
Surface Radiation ◽  
Computational Domain ◽  
Spatial Partitioning ◽  
The Monte Carlo Method ◽  
Discrete Surface

The Binary Spatial Partitioning (BSP) algorithm has found prolific usage within the computer graphics community for efficient tracing of rays. In this paper, the BSP algorithm is described and demonstrated in the context of the Monte Carlo method for surface-to-surface radiation transport. In the BSP algorithm the computational domain is recursively bisected into a set of hierarchically linked boxes that are then made use of to narrow down the number of ray-surface intersection calculations. The geometric information pertaining to these hierarchically linked boxes is stored in the form of a binary tree or table. The algorithm is tested for two classical problems, namely an open box, and a box in a box, in both two-dimensional (2D) and three-dimensional (3D) geometries with various mesh sizes, and is found to result in orders of magnitude gains in computational efficiency over direct calculations that do not employ any acceleration strategy. In theory, the BSP algorithm is expected to scale logarithmically, i.e., the CPU time is expected to increase logarithmically with increase in the number of discrete surface elements (or faces) that the boundaries of the computational domain are broken into. In practice, however, it was found that balancing of the binary tree is critical for logarithmic scaling of the algorithm. Without balancing of the binary tree, only super-linear scaling can be attained.

Mathematical verification of the Monte Carlo maximum cross-section technique

2015 ◽  
Vol 21 (4) ◽  
Author(s):  
Victor S. Antyufeev
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Cross Section ◽  
Path Length ◽  
Radiation Transport ◽  
Free Path Length ◽  
Maximum Cross Section ◽  
The Monte Carlo Method ◽  
Section Technique ◽  
Probabilistic Proof

AbstractMaximum cross-section technique is used for solving problems of radiation transport by the Monte Carlo method to optimize the particles' free-path length modeling in inhomogeneous media. A probabilistic proof of a variation of this technique is proposed in the article.

The Monte Carlo Method as a Useful Tool in Medical Physics Applications

2011 ◽  
Author(s):  
M. Rodríguez-Villafuerte ◽  
Luis Manuel Montaño Zentina ◽  
Gerardo Herrera Corral
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Medical Physics ◽  
The Monte Carlo Method

scholarly journals Monte Carlo and Medical Physics

2021 ◽  
Author(s):  
Omaima Essaad Belhaj ◽  
Hamid Boukhal ◽  
El Mahjoub Chakir
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Ionizing Radiation ◽  
Radiation Protection ◽  
Medical Physics ◽  
Absorbed Dose ◽  
Equivalent Dose ◽  
Clinical Environment ◽  
The Monte Carlo Method

The different codes based on the Monte Carlo method, allows to make simulations in the field of medical physics, so the determination of all the magnitudes of radiation protection namely the absorbed dose, the kerma, the equivalent dose, and effective, what guarantees the good planning of the experiment in order to minimize the degrees of exposure to ionizing radiation, and to strengthen the radiation protection of patients and workers in clinical environment as well as to respect the 3 principles of radiation protection ALARA (As Low As Reasonably Achievable) and which are based on: -Justification of the practice -Optimization of radiation protection -Limitation of exposure.

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