Literature DB >> 32684860

Monte Carlo commissioning of radiotherapy LINAC-Introducing an improved methodology.

Saqib Bajwa1, Attia Gul1, Shahbaz Ahmed2,1, Muhammad B Kakakhel1.   

Abstract

PURPOSE: Monte Carlo (MC) commissioning of medical linear accelerator (LINAC) is a time-consuming process involving a comparison between measured and simulated cross beam/lateral profiles and percentage depth doses (PDDs) for various field sizes. An agreement between these two data sets is sought by trial and error method while varying the incident electron beam parameters, such as electron beam energy or width, etc. This study aims to improve the efficiency of MC commissioning of a LINAC by assessing the feasibility of using a limited number of simulated PDDs.
MATERIALS AND METHODS: Using EGSnrc codes, a Varian Clinac 2100 unit has been commissioned for 6 MV photon beam, and a methodology has been proposed to identify the incident electron beam parameters in a speedier fashion. Impact of voxel size in 3-dimensions and cost functions used for comparison of the measured and simulated data have been investigated along with the role of interpolation.
RESULTS: A voxel size of 1 × 1×0.5 cm3 has been identified as suitable for accurate and fast commissioning of the LIANC. The optimum number of simulated PDDs (required for further interpolation) has been found to be five.
CONCLUSION: The present study suggests that PDDs alone at times can be insufficient for an unambiguous commissioning process and should be supported by including the lateral beam profiles in the process.
© 2020 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Commissioning; EGSnrc; Lateral profiles; Monte Carlo; PDDs

Year:  2020        PMID: 32684860      PMCID: PMC7358628          DOI: 10.1016/j.rpor.2020.06.009

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  14 in total

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Authors:  A Ahnesjö; M M Aspradakis
Journal:  Phys Med Biol       Date:  1999-11       Impact factor: 3.609

2.  Comparison of measured and Monte Carlo calculated dose distributions from the NRC linac.

Authors:  D Sheikh-Bagheri; D W Rogers; C K Ross; J P Seuntjens
Journal:  Med Phys       Date:  2000-10       Impact factor: 4.071

3.  Determining the incident electron fluence for Monte Carlo-based photon treatment planning using a standard measured data set.

Authors:  Paul J Keall; Jeffrey V Siebers; Bruce Libby; Radhe Mohan
Journal:  Med Phys       Date:  2003-04       Impact factor: 4.071

4.  Influence of initial electron beam parameters on Monte Carlo calculated absorbed dose distributions for radiotherapy photon beams.

Authors:  Antonis Tzedakis; John E Damilakis; Michael Mazonakis; John Stratakis; Haralambos Varveris; Nicholas Gourtsoyiannis
Journal:  Med Phys       Date:  2004-04       Impact factor: 4.071

Review 5.  Fifty years of Monte Carlo simulations for medical physics.

Authors:  D W O Rogers
Journal:  Phys Med Biol       Date:  2006-06-20       Impact factor: 3.609

6.  Determination of the initial beam parameters in Monte Carlo linac simulation.

Authors:  Khaled Aljarrah; Greg C Sharp; Toni Neicu; Steve B Jiang
Journal:  Med Phys       Date:  2006-04       Impact factor: 4.071

7.  Monte carlo evaluation of the AAA treatment planning algorithm in a heterogeneous multilayer phantom and IMRT clinical treatments for an Elekta SL25 linear accelerator.

Authors:  E Sterpin; M Tomsej; B De Smedt; N Reynaert; S Vynckier
Journal:  Med Phys       Date:  2007-05       Impact factor: 4.071

8.  Dosimetric characteristics of unflattened 6 MV photon beams of a clinical linear accelerator: a Monte Carlo study.

Authors:  Asghar Mesbahi
Journal:  Appl Radiat Isot       Date:  2007-06-09       Impact factor: 1.513

9.  Validation and automation of the DYNJAWS component module of the BEAMnrc Monte Carlo code.

Authors:  M B Kakakhel; E S Baveas; A L Fielding; T Kairn; J Kenny; J V Trapp
Journal:  Australas Phys Eng Sci Med       Date:  2011-03-19       Impact factor: 1.430

10.  Monte Carlo Investigation of Photon Beam Characteristics and its Variation with Incident Electron Beam Parameters for Indigenous Medical Linear Accelerator.

Authors:  Subhalaxmi Mishra; P K Dixit; T Palani Selvam; Sanket S Yavalkar; D D Deshpande
Journal:  J Med Phys       Date:  2018 Jan-Mar
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