Literature DB >> 20702922

Adapting a generic BEAMnrc model of the BrainLAB m3 micro-multileaf collimator to simulate a local collimation device.

T Kairn1, T Aland, R D Franich, P N Johnston, M B Kakakhel, J Kenny, R T Knight, C M Langton, D Schlect, M L Taylor, J V Trapp.   

Abstract

This work is focussed on developing a commissioning procedure so that a Monte Carlo model, which uses BEAMnrc's standard VARMLC component module, can be adapted to match a specific BrainLAB m3 micro-multileaf collimator (microMLC). A set of measurements are recommended, for use as a reference against which the model can be tested and optimized. These include radiochromic film measurements of dose from small and offset fields, as well as measurements of microMLC transmission and interleaf leakage. Simulations and measurements to obtain microMLC scatter factors are shown to be insensitive to relevant model parameters and are therefore not recommended, unless the output of the linear accelerator model is in doubt. Ultimately, this note provides detailed instructions for those intending to optimize a VARMLC model to match the dose delivered by their local BrainLAB m3 microMLC device.

Mesh:

Year:  2010        PMID: 20702922     DOI: 10.1088/0031-9155/55/17/N01

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


  2 in total

1.  Monte Carlo commissioning of radiotherapy LINAC-Introducing an improved methodology.

Authors:  Saqib Bajwa; Attia Gul; Shahbaz Ahmed; Muhammad B Kakakhel
Journal:  Rep Pract Oncol Radiother       Date:  2020-06-30

2.  The influence of field size on stopping-power ratios in- and out-of-field: quantitative data for the BrainLAB m3 micro-multileaf collimator.

Authors:  Michael Taylor; Tanya Kairn; Tomas Kron; Leon Dunn; Peter N Johnston; Rick D Franich
Journal:  J Appl Clin Med Phys       Date:  2012-11-08       Impact factor: 2.102

  2 in total

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