Literature DB >> 26133619

Experimental depth dose curves of a 67.5 MeV proton beam for benchmarking and validation of Monte Carlo simulation.

Bruce A Faddegon1, Jungwook Shin2, Carlos M Castenada3, José Ramos-Méndez1, Inder K Daftari1.   

Abstract

PURPOSE: To measure depth dose curves for a 67.5 ± 0.1 MeV proton beam for benchmarking and validation of Monte Carlo simulation.
METHODS: Depth dose curves were measured in 2 beam lines. Protons in the raw beam line traversed a Ta scattering foil, 0.1016 or 0.381 mm thick, a secondary emission monitor comprised of thin Al foils, and a thin Kapton exit window. The beam energy and peak width and the composition and density of material traversed by the beam were known with sufficient accuracy to permit benchmark quality measurements. Diodes for charged particle dosimetry from two different manufacturers were used to scan the depth dose curves with 0.003 mm depth reproducibility in a water tank placed 300 mm from the exit window. Depth in water was determined with an uncertainty of 0.15 mm, including the uncertainty in the water equivalent depth of the sensitive volume of the detector. Parallel-plate chambers were used to verify the accuracy of the shape of the Bragg peak and the peak-to-plateau ratio measured with the diodes. The uncertainty in the measured peak-to-plateau ratio was 4%. Depth dose curves were also measured with a diode for a Bragg curve and treatment beam spread out Bragg peak (SOBP) on the beam line used for eye treatment. The measurements were compared to Monte Carlo simulation done with geant4 using topas.
RESULTS: The 80% dose at the distal side of the Bragg peak for the thinner foil was at 37.47 ± 0.11 mm (average of measurement with diodes from two different manufacturers), compared to the simulated value of 37.20 mm. The 80% dose for the thicker foil was at 35.08 ± 0.15 mm, compared to the simulated value of 34.90 mm. The measured peak-to-plateau ratio was within one standard deviation experimental uncertainty of the simulated result for the thinnest foil and two standard deviations for the thickest foil. It was necessary to include the collimation in the simulation, which had a more pronounced effect on the peak-to-plateau ratio for the thicker foil. The treatment beam, being unfocussed, had a broader Bragg peak than the raw beam. A 1.3 ± 0.1 MeV FWHM peak width in the energy distribution was used in the simulation to match the Bragg peak width. An additional 1.3-2.24 mm of water in the water column was required over the nominal values to match the measured depth penetration.
CONCLUSIONS: The proton Bragg curve measured for the 0.1016 mm thick Ta foil provided the most accurate benchmark, having a low contribution of proton scatter from upstream of the water tank. The accuracy was 0.15% in measured beam energy and 0.3% in measured depth penetration at the Bragg peak. The depth of the distal edge of the Bragg peak in the simulation fell short of measurement, suggesting that the mean ionization potential of water is 2-5 eV higher than the 78 eV used in the stopping power calculation for the simulation. The eye treatment beam line depth dose curves provide validation of Monte Carlo simulation of a Bragg curve and SOBP with 4%/2 mm accuracy.

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Year:  2015        PMID: 26133619      PMCID: PMC4474955          DOI: 10.1118/1.4922501

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


  27 in total

1.  General characteristics of the use of silicon diode detectors for clinical dosimetry in proton beams.

Authors:  E Grusell; J Medin
Journal:  Phys Med Biol       Date:  2000-09       Impact factor: 3.609

2.  Accurate Monte Carlo simulations for nozzle design, commissioning and quality assurance for a proton radiation therapy facility.

Authors:  H Paganetti; H Jiang; S Y Lee; H M Kooy
Journal:  Med Phys       Date:  2004-07       Impact factor: 4.071

3.  Calibration of a proton beam energy monitor.

Authors:  M F Moyers; G B Coutrakon; A Ghebremedhin; K Shahnazi; P Koss; E Sanders
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

Review 4.  Report of the AAPM Task Group No. 105: Issues associated with clinical implementation of Monte Carlo-based photon and electron external beam treatment planning.

Authors:  Indrin J Chetty; Bruce Curran; Joanna E Cygler; John J DeMarco; Gary Ezzell; Bruce A Faddegon; Iwan Kawrakow; Paul J Keall; Helen Liu; C M Charlie Ma; D W O Rogers; Jan Seuntjens; Daryoush Sheikh-Bagheri; Jeffrey V Siebers
Journal:  Med Phys       Date:  2007-12       Impact factor: 4.071

5.  Evaluation of Gafchromic® EBT3 films characteristics in therapy photon, electron and proton beams.

Authors:  J Sorriaux; A Kacperek; S Rossomme; J A Lee; D Bertrand; S Vynckier; E Sterpin
Journal:  Phys Med       Date:  2012-10-26       Impact factor: 2.685

6.  TOPAS: an innovative proton Monte Carlo platform for research and clinical applications.

Authors:  J Perl; J Shin; J Schumann; B Faddegon; H Paganetti
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

7.  Characteristics of silicon and diamond detectors in a 60 MeV proton beam.

Authors:  M Pacilio; C De Angelis; S Onori; L Azario; A Fidanzio; R Miceli; A Piermattei; A Kacperek
Journal:  Phys Med Biol       Date:  2002-04-21       Impact factor: 3.609

8.  Monte Carlo simulation of a protontherapy platform devoted to ocular melanoma.

Authors:  J Hérault; N Iborra; B Serrano; P Chauvel
Journal:  Med Phys       Date:  2005-04       Impact factor: 4.071

9.  Experimental validation of the TOPAS Monte Carlo system for passive scattering proton therapy.

Authors:  M Testa; J Schümann; H-M Lu; J Shin; B Faddegon; J Perl; H Paganetti
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

Review 10.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

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  4 in total

1.  A Millimeter-scale Single Charged Particle Dosimeter for Cancer Radiotherapy.

Authors:  Kyoungtae Lee; Jessica Scholey; Eric B Norman; Inder K Daftari; Kavita K Mishra; Bruce A Faddegon; Michel M Maharbiz; Mekhail Anwar
Journal:  IEEE J Solid-State Circuits       Date:  2020-09-23       Impact factor: 5.013

2.  The TOPAS tool for particle simulation, a Monte Carlo simulation tool for physics, biology and clinical research.

Authors:  Bruce Faddegon; José Ramos-Méndez; Jan Schuemann; Aimee McNamara; Jungwook Shin; Joseph Perl; Harald Paganetti
Journal:  Phys Med       Date:  2020-04-03       Impact factor: 2.685

3.  Report on G4-Med, a Geant4 benchmarking system for medical physics applications developed by the Geant4 Medical Simulation Benchmarking Group.

Authors:  P Arce; D Bolst; M-C Bordage; J M C Brown; P Cirrone; M A Cortés-Giraldo; D Cutajar; G Cuttone; L Desorgher; P Dondero; A Dotti; B Faddegon; C Fedon; S Guatelli; S Incerti; V Ivanchenko; D Konstantinov; I Kyriakou; G Latyshev; A Le; C Mancini-Terracciano; M Maire; A Mantero; M Novak; C Omachi; L Pandola; A Perales; Y Perrot; G Petringa; J M Quesada; J Ramos-Méndez; F Romano; A B Rosenfeld; L G Sarmiento; D Sakata; T Sasaki; I Sechopoulos; E C Simpson; T Toshito; D H Wright
Journal:  Med Phys       Date:  2020-12-12       Impact factor: 4.071

4.  Comparing Geant4 physics models for proton-induced dose deposition and radiolysis enhancement from a gold nanoparticle.

Authors:  Saeed Rajabpour; Hassan Saberi; Javad Rasouli; Nasrollah Jabbari
Journal:  Sci Rep       Date:  2022-02-02       Impact factor: 4.996

  4 in total

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