Literature DB >> 21478569

Uncertainties and correction methods when modeling passive scattering proton therapy treatment heads with Monte Carlo.

Bryan Bednarz1, Hsiao-Ming Lu, Martijn Engelsman, Harald Paganetti.   

Abstract

Nowadays, Monte Carlo models of proton therapy treatment heads are being used to improve beam delivery systems and to calculate the radiation field for patient dose calculations. The achievable accuracy of the model depends on the exact knowledge of the treatment head geometry and time structure, the material characteristics, and the underlying physics. This work aimed at studying the uncertainties in treatment head simulations for passive scattering proton therapy. The sensitivities of spread-out Bragg peak (SOBP) dose distributions on material densities, mean ionization potentials, initial proton beam energy spread and spot size were investigated. An improved understanding of the nature of these parameters may help to improve agreement between calculated and measured SOBP dose distributions and to ensure that the range, modulation width, and uniformity are within clinical tolerance levels. Furthermore, we present a method to make small corrections to the uniformity of spread-out Bragg peaks by utilizing the time structure of the beam delivery. In addition, we re-commissioned the models of the two proton treatment heads located at our facility using the aforementioned correction methods presented in this paper.

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Year:  2011        PMID: 21478569      PMCID: PMC3175356          DOI: 10.1088/0031-9155/56/9/013

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  18 in total

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

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Journal:  Med Phys       Date:  2004-07       Impact factor: 4.071

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Authors:  Wayne Newhauser; Nicholas Koch; Stephen Hummel; Matthias Ziegler; Uwe Titt
Journal:  Phys Med Biol       Date:  2005-10-24       Impact factor: 3.609

4.  Commissioning a passive-scattering proton therapy nozzle for accurate SOBP delivery.

Authors:  M Engelsman; H M Lu; D Herrup; M Bussiere; H M Kooy
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

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Journal:  Phys Med Biol       Date:  1986-01       Impact factor: 3.609

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Journal:  Med Phys       Date:  1978 Jul-Aug       Impact factor: 4.071

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Journal:  Phys Med Biol       Date:  1984-05       Impact factor: 3.609

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  8 in total

1.  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

Review 2.  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

3.  Efficient voxel navigation for proton therapy dose calculation in TOPAS and Geant4.

Authors:  J Schümann; H Paganetti; J Shin; B Faddegon; J Perl
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

4.  An Integrated Framework Based on Full Monte Carlo Simulations for Double-Scattering Proton Therapy.

Authors:  Jiankui Yuan; David Mansur; Min Yao; Tithi Biswas; Yiran Zheng; Rick Jesseph; Jian-Yue Jin; Mitchell Machtay
Journal:  Int J Part Ther       Date:  2019-09-05

Review 5.  Analysis of Uncertainty and Variability in Finite Element Computational Models for Biomedical Engineering: Characterization and Propagation.

Authors:  Nerea Mangado; Gemma Piella; Jérôme Noailly; Jordi Pons-Prats; Miguel Ángel González Ballester
Journal:  Front Bioeng Biotechnol       Date:  2016-11-07

6.  TOPAS Simulation of the Mevion S250 compact proton therapy unit.

Authors:  Michael Prusator; Salahuddin Ahmad; Yong Chen
Journal:  J Appl Clin Med Phys       Date:  2017-04-26       Impact factor: 2.102

7.  A simplified methodology to produce Monte Carlo dose distributions in proton therapy.

Authors:  Chris Beltran; Yingcui Jia; Roelf Slopsema; Daniel Yeung; Zuofeng Li
Journal:  J Appl Clin Med Phys       Date:  2014-07-08       Impact factor: 2.102

8.  Sensitivity analysis of Monte Carlo model of a gantry-mounted passively scattered proton system.

Authors:  Milad Baradaran-Ghahfarokhi; Francisco Reynoso; Michael T Prusator; Baozhou Sun; Tianyu Zhao
Journal:  J Appl Clin Med Phys       Date:  2020-01-03       Impact factor: 2.102

  8 in total

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