Literature DB >> 11439494

Experimental determination and verification of the parameters used in a proton pencil beam algorithm.

H Szymanowski1, A Mazal, C Nauraye, S Biensan, R Ferrand, M C Murillo, S Caneva, G Gaboriaud, J C Rosenwald.   

Abstract

We present an experimental procedure for the determination and the verification under practical conditions of physical and computational parameters used in our proton pencil beam algorithm. The calculation of the dose delivered by a single pencil beam relies on a measured spread-out Bragg peak, and the description of its radial spread at depth features simple specific parameters accounting individually for the influence of the beam line as a whole, the beam energy modulation, the compensator, and the patient medium. For determining the experimental values of the physical parameters related to proton scattering, we utilized a simple relation between Gaussian radial spreads and the width of lateral penumbras. The contribution from the beam line has been extracted from lateral penumbra measurements in air: a linear variation with the distance collimator-point has been observed. Analytically predicted radial spreads within the patient were in good agreement with experimental values in water under various reference conditions. Results indicated no significant influence of the beam energy modulation. Using measurements in presence of Plexiglas slabs, a simple assumption on the effective source of scattering due to the compensator has been stated, leading to accurate radial spread calculations. Dose measurements in presence of complexly shaped compensators have been used to assess the performances of the algorithm supplied with the adequate physical parameters. One of these compensators has also been used, together with a reference configuration, for investigating a set of computational parameters decreasing the calculation time while maintaining a high level of accuracy. Faster dose computations have been performed for algorithm evaluation in the presence of geometrical and patient compensators, and have shown good agreement with the measured dose distributions.

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Year:  2001        PMID: 11439494     DOI: 10.1118/1.1376445

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


  7 in total

1.  A generalized 2D pencil beam scaling algorithm for proton dose calculation in heterogeneous slab geometries.

Authors:  David C Westerly; Xiaohu Mo; Wolfgang A Tomé; Thomas R Mackie; Paul M DeLuca
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

2.  Experimental and Monte Carlo characterization of a dynamic collimation system prototype for pencil beam scanning proton therapy.

Authors:  Blake R Smith; Mark Pankuch; Daniel E Hyer; Wesley S Culberson
Journal:  Med Phys       Date:  2020-09-09       Impact factor: 4.071

3.  A method for modeling laterally asymmetric proton beamlets resulting from collimation.

Authors:  Edgar Gelover; Dongxu Wang; Patrick M Hill; Ryan T Flynn; Mingcheng Gao; Steve Laub; Mark Pankuch; Daniel E Hyer
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

4.  Use of gEUD for predicting ear and pituitary gland damage following proton and photon radiation therapy.

Authors:  L De Marzi; L Feuvret; T Boulé; J-L Habrand; F Martin; V Calugaru; N Fournier-Bidoz; R Ferrand; A Mazal
Journal:  Br J Radiol       Date:  2015-02-11       Impact factor: 3.039

5.  Evaluation of monitor unit calculation based on measurement and calculation with a simplified Monte Carlo method for passive beam delivery system in proton beam therapy.

Authors:  Kenji Hotta; Ryosuke Kohno; Kohsuke Nagafuchi; Hidenori Yamaguchi; Ryohei Tansho; Yoshihisa Takada; Tetsuo Akimoto
Journal:  J Appl Clin Med Phys       Date:  2015-09-08       Impact factor: 2.102

6.  Proton range verification in inhomogeneous tissue: Treatment planning system vs. measurement vs. Monte Carlo simulation.

Authors:  Dae-Hyun Kim; Sungkoo Cho; Kwanghyun Jo; EunHyuk Shin; Chae-Seon Hong; Youngyih Han; Tae-Suk Suh; Do Hoon Lim; Doo Ho Choi
Journal:  PLoS One       Date:  2018-03-05       Impact factor: 3.240

7.  A fast Monte Carlo code for proton transport in radiation therapy based on MCNPX.

Authors:  Keyvan Jabbari; Jan Seuntjens
Journal:  J Med Phys       Date:  2014-07
  7 in total

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