Literature DB >> 19378730

Determination of electron energy, spectral width, and beam divergence at the exit window for clinical megavoltage x-ray beams.

D L Sawkey1, B A Faddegon.   

Abstract

Monte Carlo simulations of x-ray beams typically take parameters of the electron beam in the accelerating waveguide to be free parameters. In this paper, a methodology is proposed and implemented to determine the energy, spectral width, and beam divergence of the electron source. All treatment head components were removed from the beam path, leaving only the exit window. With the x-ray target and flattener out of the beam, uncertainties in physical characteristics and relative position of the target and flattening filter, and in spot size, did not contribute to uncertainty in the energy. Beam current was lowered to reduce recombination effects. The measured dose distributions were compared with Monte Carlo simulation of the electron beam through the treatment head to extract the electron source characteristics. For the nominal 6 and 18 MV x-ray beams, the energies were 6.51 +/- 0.15 and 13.9 +/- 0.2 MeV, respectively, with the uncertainties resulting from uncertainties in the detector position in the measurement and in the stopping power in the simulations. Gaussian spectral distributions were used, with full widths at half maximum ranging from 20 +/- 4% at 6 MV to 13 +/- 4% at 18 MV required to match the fall-off portion of the percent-depth ionization curve. Profiles at the depth of maximum dose from simulations that used the manufacturer-specified exit window geometry and no beam divergence were 2-3 cm narrower than measured profiles. Two simulation configurations yielding the measured profile width were the manufacturer-specified exit window thickness with electron source divergences of 3.3 degrees at 6 MV and 1.8 degrees at 18 MV and an exit window 40% thicker than the manufacturer's specification with no beam divergence. With the x-ray target in place (and no flattener), comparison of measured to simulated profiles sets upper limits on the electron source divergences of 0.2 degrees at 6 MV and 0.1 degrees at 18 MV. A method of determining source characteristics without mechanical modification of the treatment head, and therefore feasible in clinics, is presented. The energies and spectral widths determined using this method agree with those determined with only the exit window in the beam path.

Mesh:

Year:  2009        PMID: 19378730      PMCID: PMC2673678          DOI: 10.1118/1.3070547

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  22 in total

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Authors:  I Kawrakow
Journal:  Med Phys       Date:  2000-03       Impact factor: 4.071

Review 2.  Monte Carlo modelling of electron beams from medical accelerators.

Authors:  C M Ma; S B Jiang
Journal:  Phys Med Biol       Date:  1999-12       Impact factor: 3.609

3.  Sensitivity of megavoltage photon beam Monte Carlo simulations to electron beam and other parameters.

Authors:  Daryoush Sheikh-Bagheri; D W O Rogers
Journal:  Med Phys       Date:  2002-03       Impact factor: 4.071

4.  Technical note: overprediction of dose with default PRESTA-I boundary crossing in DOSXYZnrc and BEAMnrc.

Authors:  B R B Walters; I Kawrakow
Journal:  Med Phys       Date:  2007-02       Impact factor: 4.071

5.  Monte Carlo simulation of large electron fields.

Authors:  Bruce A Faddegon; Joseph Perl; Makoto Asai
Journal:  Phys Med Biol       Date:  2008-02-21       Impact factor: 3.609

6.  On the discrepancies between Monte Carlo dose calculations and measurements for the 18 MV varian photon beam.

Authors:  Omar Chibani; C M Charlie Ma
Journal:  Med Phys       Date:  2007-04       Impact factor: 4.071

7.  Low dose megavoltage cone beam computed tomography with an unflattened 4 MV beam from a carbon target.

Authors:  Bruce A Faddegon; Vincent Wu; Jean Pouliot; Bijumon Gangadharan; Ali Bani-Hashemi
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

8.  The effective point of measurement of ionization chambers and the build-up anomaly in MV x-ray beams.

Authors:  M R McEwen; I Kawrakow; C K Ross
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

9.  Benchmarking of Monte Carlo simulation of bremsstrahlung from thick targets at radiotherapy energies.

Authors:  Bruce A Faddegon; Makoto Asai; Joseph Perl; Carl Ross; Josep Sempau; Jane Tinslay; Francesc Salvat
Journal:  Med Phys       Date:  2008-10       Impact factor: 4.071

10.  Measurement of multiple scattering of 13 and 20 MeV electrons by thin foils.

Authors:  C K Ross; M R McEwen; A F McDonald; C D Cojocaru; B A Faddegon
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

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  8 in total

1.  Simulation of large x-ray fields using independently measured source and geometry details.

Authors:  D Sawkey; B A Faddegon
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

2.  Treatment head disassembly to improve the accuracy of large electron field simulation.

Authors:  Bruce A Faddegon; Daren Sawkey; Tuathan O'Shea; Malcolm McEwen; Carl Ross
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

3.  Determination and validation of the initial beam parameters of Elekta Agility collimator head by Monte Carlo simulations.

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4.  Unflattened photon beams from the standard flattening filter free accelerators for radiotherapy: Advantages, limitations and challenges.

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Journal:  J Med Phys       Date:  2011-07

5.  Acceptance criteria for flattening filter-free photon beam from standard medical electron linear accelerator: AERB task group recommendations.

Authors:  G Sahani; S D Sharma; P K Dash Sharma; D D Deshpande; P S Negi; V K Sathianarayanan; G K Rath
Journal:  J Med Phys       Date:  2014-10

6.  Comparison of 3DCRT and IMRT out-of-field doses in pediatric patients using Monte Carlo simulations with treatment planning system calculations and measurements.

Authors:  Ana Cravo Sá; Andreia Barateiro; Bryan P Bednarz; Pedro Almeida; Pedro Vaz; Tiago Madaleno
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

7.  A Comparison Between GATE and MCNPX Monte Carlo Codes in Simulation of Medical Linear Accelerator.

Authors:  Hamid-Reza Sadoughi; Shahrokh Nasseri; Mahdi Momennezhad; Hamid-Reza Sadeghi; Mohammad-Hossein Bahreyni-Toosi
Journal:  J Med Signals Sens       Date:  2014-01

8.  An investigation into the use of MMCTP to tune accelerator source parameters and testing its clinical application.

Authors:  Elaine Conneely; Andrew Alexander; Gabriella Stroian; Jan Seuntjens; Mark J Foley
Journal:  J Appl Clin Med Phys       Date:  2013-03-04       Impact factor: 2.102

  8 in total

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