Literature DB >> 10659756

Electron beam modeling and commissioning for Monte Carlo treatment planning.

S B Jiang1, A Kapur, C M Ma.   

Abstract

A hybrid approach for commissioning electron beam Monte Carlo treatment planning systems has been studied. The approach is based on the assumption that accelerators of the same type have very similar electron beam characteristics and the major difference comes from the on-site tuning of the electron incident energy at the exit window. For one type of accelerator, a reference machine can be selected and simulated with the Monte Carlo method. A multiple source model can be built on the full Monte Carlo simulation of the reference beam. When commissioning electron beams from other accelerators of the same type, the energy spectra in the source model are tuned to match the measured dose distributions. A Varian Clinac 2100C accelerator was chosen as the reference machine and a four-source beam model was established based on the Monte Carlo simulations. This simplified beam model can be used to generate Monte Carlo dose distributions accurately (within 2%/2 mm compared to those calculated with full phase space data) for electron beams from the reference machine with various nominal energies, applicator sizes, and SSDs. Three electron beams were commissioned by adjusting the energy spectra in the source model. The dose distributions calculated with the adjusted source model were compared with the dose distributions calculated using the phase space data for these beams. The agreement is within 1% in most of cases and 2% in all situations. This preliminary study has shown the capability of the commissioning approach for handling large variation in the electron incident energy. The possibility of making the approach more versatile is also discussed.

Mesh:

Year:  2000        PMID: 10659756     DOI: 10.1118/1.598883

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


  8 in total

1.  Multiple-source models for electron beams of a medical linear accelerator using BEAMDP computer code.

Authors:  Nasrollah Jabbari; Amir Hoshang Barati; Leili Rahmatnezhad
Journal:  Rep Pract Oncol Radiother       Date:  2012-05-30

2.  Monte Carlo Commissioning of Low Energy Electron Radiotherapy Beams using NXEGS Software.

Authors:  Joseph A Both; Todd Pawlicki
Journal:  Int J Med Sci       Date:  2004-06-01       Impact factor: 3.738

3.  Adapted Prescription Dose for Monte Carlo Algorithm in Lung SBRT: Clinical Outcome on 205 Patients.

Authors:  Jean-Emmanuel Bibault; Xavier Mirabel; Thomas Lacornerie; Emmanuelle Tresch; Nick Reynaert; Eric Lartigau
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

4.  A virtual source model for Monte Carlo simulation of helical tomotherapy.

Authors:  Jiankui Yuan; Yi Rong; Quan Chen
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

5.  Monte Carlo Investigation of Photon Beam Characteristics and its Variation with Incident Electron Beam Parameters for Indigenous Medical Linear Accelerator.

Authors:  Subhalaxmi Mishra; P K Dixit; T Palani Selvam; Sanket S Yavalkar; D D Deshpande
Journal:  J Med Phys       Date:  2018 Jan-Mar

6.  Monte-Carlo simulation of the Siemens Artiste linear accelerator flat 6 MV and flattening-filter-free 7 MV beam line.

Authors:  Alemeh Sadrollahi; Frank Nuesken; Norbert Licht; Christian Rübe; Yvonne Dzierma
Journal:  PLoS One       Date:  2019-01-08       Impact factor: 3.240

7.  Validation of Monte Carlo-based calculations for megavolt electron beams for IORT and FLASH-IORT.

Authors:  Graeme L Lazarus; Déte van Eeden; Frederik Cp du Plessis
Journal:  Heliyon       Date:  2022-09-19

8.  Modeling the head of PRIMUS linear accelerator for electron-mode at 10 MeV for different applicators.

Authors:  Hani Negm; Moamen M O M Aly; Walaa M Fathy
Journal:  J Appl Clin Med Phys       Date:  2020-02-18       Impact factor: 2.102

  8 in total

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