The purpose of this paper was to study the source model for a Monte Carlo simulation of electron beams from a medical linear accelerator. In a prior study, a non-divergent Gaussian source with a full-width at half-maximum (FWHM) of 0.15 cm was successful in predicting relative dose distributions for electron beams with applicators. However, for large fields with the applicator removed, discrepancies were found between measured and calculated profiles, particularly in the shoulder region. In this work, the source was changed to a divergent Gaussian spatial distribution and the FWHM parameter was varied to produce better agreement with measured data. The influence of the FWHM source parameter on profiles was observed at multiple locations in the simulation geometry including in-air fluence profiles at a 95 cm source-to-surface distance (SSD), percent depth dose profiles and off-axis profiles (OARs) in a water phantom for two SSDs, 80 and 100 cm. For a 6 MeV 40 x 40 cm(2) OAR profile, discrepancies in the shoulder region were reduced from 15% to 4% using a FWHM value of 0.45 cm. The optimal FWHM values for the other energies were 0.45 cm for 9 MeV, 0.22 for 12 MeV, 0.25 for 16 MeV and 0.2 cm for 20 MeV. Although this range of values was larger than measured focal spot sizes reported by other researchers, using the increased FWHM values improved the fit at most locations in the simulation geometry, giving confidence that the model could be used with a variety of SSDs and field sizes.

Download full-text PDF

Source
http://dx.doi.org/10.1088/0031-9155/54/1/007DOI Listing

Publication Analysis

Top Keywords

monte carlo
8
electron beams
8
shoulder region
8
locations simulation
8
simulation geometry
8
fwhm values
8
profiles
6
fwhm
6
mev
5
influence source
4

Similar Publications

Deciphering the Complexity of Step Profiles on Vicinal Si(001) Surfaces Through Multiscale Simulations.

Small

January 2025

State Key Laboratory of Materials for Integrated Circuits, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.

The behavior of vicinal Si(001) surfaces are a subject of intense research for years, yet the mechanism behind its step modulation remains unresolved. Step B, in particular, can meander randomly or form a periodic zigzag profile, a surface phenomenon that has eluded explanation due to the lack of appropriate simulation tools. Here, a multiscale simulation strategy, enhanced by machine learning potentials are proposed, to investigate this mesoscale behavior.

View Article and Find Full Text PDF

Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values.

Sensors (Basel)

December 2024

Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology in Szczecin, al. Piastow 17, 70-310 Szczecin, Poland.

The safety of the airspace could be improved by the use of visual methods for the detection and tracking of aircraft. However, in the case of the small angular size of airplanes and the high noise level in the image, sufficient use of such methods might be difficult. By using the ConvNN (Convolutional Neural Network), it is possible to obtain a detector that performs the segmentation task for aircraft images that are very small and lost in the background noise.

View Article and Find Full Text PDF

Background: Boron neutron capture therapy (BNCT) is an innovative binary form of radiation therapy with high selectivity towards cancer tissue based on the neutron capture reaction B(n,α)Li, consisting in the exposition of patients to neutron beams after administration of a boron compound with preferential accumulation in cancer cells. The high linear energy transfer products of the ensuing reaction deposit their energy at the cell level, sparing normal tissue. Although progress in accelerator-based BNCT has led to renewed interest in this cancer treatment modality, in vivo dose monitoring during treatment still remains not feasible and several approaches are under investigation.

View Article and Find Full Text PDF

Chocolate is one of the most popular and widely consumed confectionery products. However, elevated cadmium (Cd) content in this commodity threatens food safety and human health. It is crucial to monitor the presence of Cd in chocolate and to evaluate its associated health risks.

View Article and Find Full Text PDF

Study on Quantitative Adjustment of CD Bias and Profile Angle in the Wet Etching of Cu-Based Stacked Electrode.

Materials (Basel)

December 2024

Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing 400044, China.

The electrodes of thin film transistors (TFTs) have evolved from conventional single Cu layers to multi-layered structures formed by Cu and other metals or alloys. Different etching rates of various metals and galvanic corrosion between distinct metals may cause etching defects such as rough or uneven cross-sectional surfaces of stacked electrodes. Therefore, the etching of stacked electrodes faces new challenges.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!