SU-E-T-569: Neutron Shielding Calculation Using Analytical and Multi-Monte Carlo Method for Proton Therapy Facility

2015 ◽  
Vol 42 (6Part21) ◽  
pp. 3466-3466
Author(s):  
S Cho ◽  
E H Shin ◽  
J Kim ◽  
S H Ahn ◽  
K Chung ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Proton Therapy ◽  
Neutron Shielding ◽  
Proton Therapy Facility

Monte Carlo Simulation Using TOPAS for Gas Chamber Design of PBS Nozzle in Superconducting Proton Therapy Facility

2019 ◽  
Vol 206 (5) ◽  
pp. 779-790 ◽  
Author(s):  
Ming Wang ◽  
Jinxing Zheng ◽  
Yuntao Song ◽  
Xianhu Zeng ◽  
Ming Li ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Proton Therapy ◽  
Chamber Design ◽  
Gas Chamber ◽  
Proton Therapy Facility

Neutron H*(10) inside a proton therapy facility: comparison between Monte Carlo simulations and WENDI-2 measurements

2013 ◽  
Vol 161 (1-4) ◽  
pp. 417-421 ◽  
Author(s):  
V. De Smet ◽  
F. Stichelbaut ◽  
T. Vanaudenhove ◽  
G. Mathot ◽  
G. De Lentdecker ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Proton Therapy ◽  
Proton Therapy Facility

The Optimization of Material Thickness for Neutron Shielding with Monte Carlo Method

2010 ◽  
Vol 142 ◽  
pp. 166-169
Author(s):  
C. Chen ◽  
M. Wang
Keyword(s):  
Stainless Steel ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Neutron Radiation ◽  
Neutron Shielding ◽  
Material Thickness

Some materials are selected for shielding neutron radiation in this paper. The thickness of shielding materials is optimized with Monte Carlo method. The materials and optimizational thickness are: Tungsten 6cm, Polythene 8cm, Cadmium 1cm and Stainless Steel 1cm

Neutron shielding for a new projected proton therapy facility: A Geant4 simulation study

2016 ◽  
Vol 32 (12) ◽  
pp. 1862-1871 ◽  
Author(s):  
Francesco Cadini ◽  
David Bolst ◽  
Susanna Guatelli ◽  
Chris Beltran ◽  
Michael Jackson ◽  
...  
Keyword(s):  
Proton Therapy ◽  
Simulation Study ◽  
Geant4 Simulation ◽  
Neutron Shielding ◽  
Proton Therapy Facility

Proton therapy analysis using the Monte Carlo method

2005 ◽  
Vol 39 (5) ◽  
pp. 521-524 ◽  
Author(s):  
Houshyar Noshad ◽  
Nasim Givechi
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Proton Therapy ◽  
The Monte Carlo Method

scholarly journals Measurement of the energy spectrum of secondary neutrons in a proton therapy environment

2017 ◽  
Vol 3 (2) ◽  
pp. 83-86
Author(s):  
Martin Dommert ◽  
Marcel Reginatto ◽  
Miroslav Zboril ◽  
Fine Fiedler ◽  
Stephan Helmbrecht ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Energy Spectrum ◽  
Monte Carlo Simulations ◽  
Proton Beam ◽  
Proton Therapy ◽  
Secondary Neutron ◽  
Incoming Proton ◽  
Secondary Neutrons ◽  
Proton Therapy Facility

AbstractMeasurement of the energy spectrum of secondary neutrons were carried out at the OncoRay Proton Therapy facility in Dresden, following an approach originating in neutron metrology which is well suited for both the characterization of secondary neutron fields at proton therapy facilities and the validation of Monte Carlo simulations. For the experiment, a brass target was placed in the proton beam and Bonner spheres measurements were made at a distance of 2 m from the target and at different angles, 15° to 120°, with respect to the incoming proton beam. The measured spectra were compared to Monte Carlo simulations.

1428 poster VERIFICATION OF A PROTON THERAPY FACILITY MONTE CARLO SIMULATION BASED ON THE GAMOS/GEANT4 FRAMEWORK

2011 ◽  
Vol 99 ◽  
pp. S531
Author(s):  
J.I. Lagares ◽  
P. Arce ◽  
J.A. Terrón ◽  
J.J. Nieto-Camero ◽  
F. Sansaloni ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Proton Therapy ◽  
Simulation Based ◽  
Proton Therapy Facility

scholarly journals Monte Carlo Simulations of Neutron Ambient Dose Equivalent in a Novel Proton Therapy Facility Design

2020 ◽  
Vol 6 (4) ◽  
pp. 29-37
Author(s):  
Uwe Titt ◽  
Enzo Pera ◽  
Michael T. Gillin
Keyword(s):  
Monte Carlo ◽  
Radiation Protection ◽  
Proton Therapy ◽  
Facility Design ◽  
Dose Equivalent ◽  
Treatment Room ◽  
Dose Limits ◽  
Ambient Dose Equivalent ◽  
Ambient Dose ◽  
Proton Therapy Facility

Abstract Purpose The neutron shielding properties of the concrete structures of a proposed proton therapy facility were evaluated with help of the Monte Carlo technique. The planned facility's design omits the typical maze-structured entrances to the treatment rooms to facilitate more efficient access and, instead, proposes the use of massive concrete/steel doors. Furthermore, straight conduits in the treatment room walls were used in the design of the facility, necessitating a detailed investigation of the neutron radiation outside the rooms to determine if the design can be applied without violating existing radiation protection regulations. This study was performed to investigate whether the operation of a proton therapy unit using such a facility design will be in compliance with radiation protection requirements. Methods A detailed model of the planned proton therapy expansion project of the University of Texas, M. D. Anderson Cancer Center in Houston, Texas, was produced to simulate secondary neutron production from clinical proton beams using the MCNPX Monte Carlo radiation transport code. Neutron spectral fluences were collected at locations of interest and converted to ambient dose equivalents using an in-house code based on fluence to dose-conversion factors provided by the International Commission on Radiological Protection. Results and Conclusions At all investigated locations of interest, the ambient dose equivalent values were below the occupational dose limits and the dose limits for individual members of the public. The impact of straight conduits was negligible because their location and orientation were such that no line of sight to the neutron sources (ie, the isocenter locations) was established. Finally, the treatment room doors were specially designed to provide spatial efficiency and, compared with traditional maze designs, showed that while it would be possible to achieve a lower neutron ambient dose equivalent with a maze, the increased spatial (and financial) requirements may offset this advantage.

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