Document Detail

Monte Carlo simulation of the photon beam characteristics from medical linear accelerators.
MedLine Citation:
PMID:  16644954     Owner:  NLM     Status:  MEDLINE    
The MCNPX code has been employed on a personal computer to calculate the dosimetric characteristics of the photon beams from the 6 MV Siemens MX2 and the 10 MV Varian Clinac 2100C linear accelerators. A model of the treatment head includes the major geometric structure within the beam path. The model was used to calculate the energy spectra of the photon beam, percentage depth dose and the dose profiles. The accuracy of the calculated results is examined by comparing them with the measured dose distributions for the two machines. The computed and measured depth dose curves agree to within 2% for all the depths beyond the build-up region for both treatment machines. The calculations agree to within 2% of the measured profiles within the 100-50% dose level. It has been found that the MCNPX code is an effective tool for simulating the clinical photon beam.
H K Kim; S J Han; J L Kim; B H Kim; S Y Chang; J K Lee
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Publication Detail:
Type:  Journal Article     Date:  2006-04-27
Journal Detail:
Title:  Radiation protection dosimetry     Volume:  119     ISSN:  0144-8420     ISO Abbreviation:  Radiat Prot Dosimetry     Publication Date:  2006  
Date Detail:
Created Date:  2006-09-22     Completed Date:  2006-12-07     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8109958     Medline TA:  Radiat Prot Dosimetry     Country:  England    
Other Details:
Languages:  eng     Pagination:  510-3     Citation Subset:  IM    
National Radiation Emergency Medical Center, Korea Institute of Radiological and Medical Sciences, Seoul, 139-706, Korea.
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MeSH Terms
Body Burden
Models, Biological*
Models, Statistical
Monte Carlo Method*
Particle Accelerators / instrumentation*
Photons / therapeutic use
Radiometry / methods*
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted / methods*
Radiotherapy, Conformal / instrumentation*,  methods*
Relative Biological Effectiveness

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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