Literature DB >> 10501046

Validation of Monte Carlo generated phase-space descriptions of medical linear accelerators.

B Libby1, J Siebers, R Mohan.   

Abstract

The accuracy of Monte Carlo codes in dose calculation systems relies on the correctness of the input data. Monte Carlo calculations are performed to generate phase-space descriptions of the Varian 2100C accelerator at 6 and 18 MeV. Before these data can be reliably used as the input for dose calculations in patients, they must be properly validated. This validation consists of three different stages: validation of the coding of the geometry, validation of the user code for the Monte Carlo code, and validation of calculated results. Geometric validation is performed by isolating and testing treatment head components independently. The user code is checked by testing for energy conservation and the variance reduction schemes incorporated into the user code are checked by comparison of results calculated with and without their employment. Validation of the phase-space description is performed by calculation of depth dose curves and lateral profiles for dose deposition in phantom, with difference plots used to illustrate any discrepancies. Calculated and experimental in-phantom output is also determined. After complete validation, the calculated data can then be reliably used as the input for dose calculations.

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Year:  1999        PMID: 10501046     DOI: 10.1118/1.598643

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


  8 in total

1.  Modification and validation of an analytical source model for external beam radiotherapy Monte Carlo dose calculations.

Authors:  Scott E Davidson; Jing Cui; Stephen Kry; Joseph O Deasy; Geoffrey S Ibbott; Milos Vicic; R Allen White; David S Followill
Journal:  Med Phys       Date:  2016-08       Impact factor: 4.071

2.  The effect of statistical noise on IMRT plan quality and convergence for MC-based and MC-correction-based optimized treatment plans.

Authors:  Jeffrey V Siebers
Journal:  J Phys Conf Ser       Date:  2008-04-04

3.  An energy transfer method for 4D Monte Carlo dose calculation.

Authors:  Jeffrey V Siebers; Hualiang Zhong
Journal:  Med Phys       Date:  2008-09       Impact factor: 4.071

4.  A method to improve accuracy and precision of water surface identification for photon depth dose measurements.

Authors:  J D Ververs; M J Schaefer; I Kawrakow; J V Siebers
Journal:  Med Phys       Date:  2009-04       Impact factor: 4.071

Review 5.  Monte Carlo methods for device simulations in radiation therapy.

Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

6.  Dose perturbation in the radiotherapy of breast cancer patients implanted with the Magna-Site: a Monte Carlo study.

Authors:  Christos Chatzigiannis; Georgia Lymperopoulou; Panayotis Sandilos; Constantinos Dardoufas; Emmanouil Yakoumakis; Evaggelos Georgiou; Pantelis Karaiskos
Journal:  J Appl Clin Med Phys       Date:  2011-01-19       Impact factor: 2.102

7.  A single-source photon source model of a linear accelerator for Monte Carlo dose calculation.

Authors:  Obioma Nwankwo; Gerhard Glatting; Frederik Wenz; Jens Fleckenstein
Journal:  PLoS One       Date:  2017-09-08       Impact factor: 3.240

8.  Monte Carlo dose verification of prostate patients treated with simultaneous integrated boost intensity modulated radiation therapy.

Authors:  Nesrin Dogan; Ivaylo Mihaylov; Yan Wu; Paul J Keall; Jeffrey V Siebers; Michael P Hagan
Journal:  Radiat Oncol       Date:  2009-06-15       Impact factor: 3.481

  8 in total

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