Gold nanoparticles as a sensitising agent in external beam radiotherapy and brachytherapy: a feasibility study through Monte Carlo simulation

2013 ◽  
Vol 10 (12) ◽  
pp. 1045 ◽  
Author(s):  
Ernesto Amato ◽  
Antonio Italiano ◽  
Stefano Pergolizzi
Keyword(s):  
Monte Carlo Simulation ◽  
Gold Nanoparticles ◽  
Monte Carlo ◽  
Feasibility Study ◽  
External Beam Radiotherapy ◽  
External Beam

An investigation of the effect of gold nanoparticles with different concentrations on increasing absorbed dose: an empirical and simulation study

2018 ◽  
Vol 18 (02) ◽  
pp. 191-197
Author(s):  
Masoumeh Hoseinnezhad ◽  
Mohammad Mahdavi ◽  
Seyyed R. M. Mahdavi ◽  
Mobarake Mahdavizade
Keyword(s):  
Monte Carlo Simulation ◽  
Gold Nanoparticles ◽  
Monte Carlo ◽  
Absorbed Dose ◽  
Simulation Method ◽  
Dose Enhancement ◽  
Depth Dose ◽  
Optical Ct ◽  
Ct System ◽  
Monte Carlo Simulation Model

AbstractPurposeThe purpose of this study was to determine the dose enhancement factor (DEF) of gold nanoparticles in a dosimeter gel and construct percentage depth dose curves, using the Optical CT system and the Monte Carlo simulation model, to determine the effect of increasing the dose caused by increasing the concentration of gold nanoparticles at depths in the gel.Materials and methodsThe Magic-f Gel was made based on the relevant protocol in the physics lab. To determine the amount of the increase in the absorbed dose, the gold nanoparticles were added to the gel and irradiated. An increase in the dose after adding nanoparticles to the gel vials was estimated both with the Optical CT system and by the Monte Carlo simulation method.ResultsDose enhancement curves for doses of 2, 4 and 6 Gy were prepared for gel vials without adding nanoparticles, and nanoparticle gels at concentrations 0·17, 3 and 6 mM. Also, the DEF was estimated. For the 0·17 mM molar gel, the DEF for 2, 4 and 6 Gy was 0·7, 0·743 and 0·801, respectively. For the 3 mM gel, it was 1·98, 2·5 and 2·2, and for the 6 mM gel, it was 37·4, 4·24 and 4·71, respectively.ConclusionThe enhancement of the dose after adding gold nanoparticles was confirmed both by experimental data and by simulation data.

Driver Differentiation With Seat Settings: Part II—Feasibility Study for US Household

2010 ◽  
Author(s):  
Carol Flannagan ◽  
Shih-Ken Chen ◽  
Bakhtiar Litkouhi
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Feasibility Study ◽  
Initial Conditions ◽  
Population Variability ◽  
Driver Identification

The addition of user-customizable features to automobiles increases the need to differentiate among drivers so that each driver’s custom settings can be automatically applied. Part 1 of this study modeled driver component positioning as a function of the stature difference between sharing drivers. To fully understand the feasibility of this approach to driver identification, we need to model the distribution of stature differences in the population of sharing drivers. Monte Carlo simulation is used to simulate both population variability in stature and positioning and the effect of initial conditions on positioning are included. The simulation of 10,000 households showed that for 87% of target pairs, differentiation performance of fewer than 2% errors can be achieved, even when the drivers share a vehicle equally (the most difficult differentiation scenario).

SU-D-BRB-03: All-Inclusive DOSXYZnrc Source for Monte Carlo QA of External Beam Radiotherapy

2011 ◽  
Vol 38 (6Part3) ◽  
pp. 3382-3382 ◽  
Author(s):  
A Alexander ◽  
M Renaud ◽  
J Seuntjens
Keyword(s):  
Monte Carlo ◽  
External Beam Radiotherapy ◽  
External Beam

Photodynamic therapy of deep tissue abscess cavities: Retrospective image‐based feasibility study using Monte Carlo simulation

2019 ◽  
Vol 46 (7) ◽  
pp. 3259-3267 ◽  
Author(s):  
Timothy M. Baran ◽  
Hyun W. Choi ◽  
Mattison J. Flakus ◽  
Ashwani K. Sharma
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Photodynamic Therapy ◽  
Feasibility Study ◽  
Deep Tissue
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