ArticleIn vivo (Athens, Greece)
Monte Carlo Modeling of the Agility MLC for IMRT and VMAT Calculations.
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Machine Learning-Based Prediction of Elekta MLC Motion with Dosimetric Validation for Virtual Patient-Specific QA.Bioengineering (Basel, Switzerland) · 2025Article
- Technical Note: Investigating of dosimetric leaf gap and leaf transmission factor variations across gantry and collimator angles in volumetric modulation arc therapy.Journal of applied clinical medical physics · 2024Article
- Determination and validation of the initial beam parameters of Elekta Agility collimator head by Monte Carlo simulations.Physical and engineering sciences in medicine · 2022Article
- Multileaf Collimator Modeling and Commissioning for Complex Radiation Treatment Plans Using 2-Dimensional (2D) Diode Array MapCHECK2.Technology in cancer research & treatmentArticle
- Monte Carlo Simulation for the Radixact™ Tomotherapy Linac Using EGSnrc.Journal of medical physicsArticle
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Authors and funding
5 authors.
Funding
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Abstract
BACKGROUND/
aimThe Purpose of this study was to develop a Monte Carlo (MC) model for the Agility multileaf collimator (MLC) mounted and to validate its accuracy. MATERIALS AND
methodsTo describe the Agility MLC in the BEAMnrc MC code, an existing component module code was modified to include its characteristics. The leaf characterization of the MC model was validated by comparing the calculated interleaf transmission and tongue-and-groove effect with EBT2 film and diode measurements and IMRT and VMAT calculations with film measurements.
resultsAgreement between mean calculated and measured leaf transmissions was within 0.1%. The discrepancy between MC calculation and measurement in a static irregular field was less than 2%/2 mm. Gamma analysis of the comparison of MC and EBT2 film measurements in IMRT and VMAT fields yielded pass rates of 99.1% and 99.5% with 3%/3 mm criteria, respectively.
conclusionOur findings demonstrate the accuracy of the MC model using an adapted BEAMnrc component module for the Agility MLC.
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