Literature DB >> 28395963

Dosimetric impact assessment using a general algorithm in geant4 simulations for a complex-shaped multileaf collimator.

Á Perales1, M A Cortés-Giraldo2, H Miras3, R Arráns3, M I Gallardo2.   

Abstract

PURPOSE: We have developed an inhouse algorithm for the multileaf collimator (MLC) geometry model construction with an appropriate accuracy for dosimetric tests. Our purpose is to build a complex type of MLC and analyze the influence of the modeling parameters on the dose calculation.
METHODS: Using radiochromic films as detector the following tests were done: (I) Density test field: to compare measured and calculated dose distributions in order to determine the tungsten alloy physical density value. (II) Leaf ends test field: to verify the penumbra shape sensitivity against the discretization level set to simulate the curved leaf ends. (III) MLC-closed field: to obtain the value of the air gap between opposite leaves for a closed configuration which completes the modeling of the MLC leakage radiation. (IV) Picket-fence field: to fit the leaf tilt angle with respect of the divergent ray emerging from the source.
RESULTS: For a 18.5g/cm3 density value we have obtained a maximum, minimum and mean leakage values of 0.43%, 0.36% and 0.38%, similar to the experimental ones. The best discretization level in the leaf ends field shows a 5.51mm FWHM, very close to the measured value (5.49mm). An air gap of 370μm has been used in the simulation for the separation between opposite leaves. Using a 0.44° tilt angle, we found the same pattern as the experimental values.
CONCLUSIONS: Our code can reproduce complex MLC designs with a submilimetric dosimetric accuracy which implies the necessary background for dose calculation of high clinical interest small fields.
Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Keywords:  Monte Carlo; Multileaf collimator; Tilt angle; geant4

Mesh:

Year:  2017        PMID: 28395963     DOI: 10.1016/j.ejmp.2017.03.026

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  1 in total

1.  Monte Carlo verification of radiotherapy treatments with CloudMC.

Authors:  Hector Miras; Rubén Jiménez; Álvaro Perales; José Antonio Terrón; Alejandro Bertolet; Antonio Ortiz; José Macías
Journal:  Radiat Oncol       Date:  2018-06-27       Impact factor: 3.481

  1 in total

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