NDLI: X-ray simulation with the Monte Carlo code PENELOPE. Application to Quality Control

Content Provider	IEEE Xplore Digital Library
Author	Pozuelo, F. Gallardo, S. Querol, A. Verdu, G. Rodenas, J.
Copyright Year	2012
Description	Author affiliation: Ing. Quim. y Nucl. Dept., Univ. Politec. de Valencia, València, Spain (Pozuelo, F.; Gallardo, S.; Querol, A.; Verdu, G.; Rodenas, J.)
Abstract	A realistic knowledge of the energy spectrum is very important in Quality Control (QC) of X-ray tubes in order to reduce dose to patients. However, due to the implicit difficulties to measure the X-ray spectrum accurately, it is not normally obtained in routine QC. Instead, some parameters are measured and/or calculated. PENELOPE and MCNP5 codes, based on the Monte Carlo method, can be used as complementary tools to verify parameters measured in QC. These codes allow estimating Bremsstrahlung and characteristic lines from the anode taking into account specific characteristics of equipment. They have been applied to simulate an X-ray spectrum. Results are compared with theoretical IPEM 78 spectrum. A sensitivity analysis has been developed to estimate the influence on simulated spectra of important parameters used in simulation codes. With this analysis it has been obtained that the FORCE factor is the most important parameter in PENELOPE simulations. FORCE factor, which is a variance reduction method, improves the simulation but produces hard increases of computer time. The value of FORCE should be optimized so that a good agreement of simulated and theoretical spectra is reached, but with a reduction of computer time. Quality parameters such as Half Value Layer (HVL) can be obtained with the PENELOPE model developed, but FORCE takes such a high value that computer time is hardly increased. On the other hand, depth dose assessment can be achieved with acceptable results for small values of FORCE.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5777
Ending Page	5780
File Size	418525
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347307
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Force Computers Photonics Electron tubes Monte Carlo methods Computational modeling Sensitivity analysis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Unfolding X-ray spectra using a flat panel detector

Application of Tikhonov and MTSVD methods to unfold experimental X-ray spectra in the radiodiagnostic energy range

Calculation of photon path changes due to scatter in Monte Carlo simulations

Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model

Uncertainty analysis in the simulation of X-ray spectra in the diagnostic range using the MCNP5 code

Computational Hypothesis testing for neuromuscular systems

Voxel-based, parallel simulation of light in skin tissue for the reconstruction of subsurface skin lesion volumes

Simulation study on the effect of tissue geometries to fluence composition for non-invasive fetal pulse oximetry

MCNP5 Monte Carlo simulation of amorphous silicon EPID dosimetry from MLC radiation therapy treatment beams

X-ray simulation with the Monte Carlo code PENELOPE. Application to Quality Control

Similar Documents

Unfolding X-ray spectra using a flat panel detector

Application of Tikhonov and MTSVD methods to unfold experimental X-ray spectra in the radiodiagnostic energy range

Calculation of photon path changes due to scatter in Monte Carlo simulations

Differential pathlength factor estimation for brain-like tissue from a single-layer Monte Carlo model

Uncertainty analysis in the simulation of X-ray spectra in the diagnostic range using the MCNP5 code

Computational Hypothesis testing for neuromuscular systems

Voxel-based, parallel simulation of light in skin tissue for the reconstruction of subsurface skin lesion volumes

Simulation study on the effect of tissue geometries to fluence composition for non-invasive fetal pulse oximetry

MCNP5 Monte Carlo simulation of amorphous silicon EPID dosimetry from MLC radiation therapy treatment beams

X-ray simulation with the Monte Carlo code PENELOPE. Application to Quality Control