Literature DB >> 32194347

EGSnrc application for IMRT planning.

Sitti Yani1,2, Ilmi Rizkia2, Mohamad Fahdillah Rhani3, Mohammad Haekal2, Freddy Haryanto2.   

Abstract

The aim of this study was to describe a detailed instruction of intensity modulated radiotherapy (IMRT) planning simulation using BEAMnrc-DOSXYZnrc code system (EGSnrc package) and present a new graphical user interface based on MATLAB code (The MathWorks) to combine more than one. 3ddose file which were obtained from the IMRT plan. This study was performed in four phases: the commissioning of Varian Clinac iX6 MV, the simulation of IMRT planning in EGSnrc, the creation of in-house VDOSE GUI, and the analysis of the isodose contour and dose volume histogram (DVH) curve from several beam angles. The plan paramaters in sequence and control point files were extracted from the planning data in Tan Tock Seng Hospital Singapore (multileaf collimator (MLC) leaf positions - bank A and bank B, gantry angles, coordinate of isocenters, and MU indexes). VDOSE GUI which was created in this study can display the distribution dose curve in each slice and beam angle. Dose distributions from various MLC settings and beam angles yield different dose distributions even though they used the same number of simulated particles. This was due to the differences in the MLC leaf openings in every field. The value of the relative dose error between the two dose ditributions for "body" was 51.23 %. The Monte Carlo (MC) data was normalized with the maximum dose but the analytical anisotropic algorithm (AAA) data was normalized by the dose in the isocenter. In this study, we have presented a Monte Carlo simulation framework for IMRT dose calculation using DOSXYZnrc source 21. Further studies are needed in conducting IMRT simulations using EGSnrc to minimize the different dose error and dose volume histogram deviation.
© 2020 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.

Keywords:  EGSnrc; IMRT planning; Monte carlo; VDOSE

Year:  2020        PMID: 32194347      PMCID: PMC7078526          DOI: 10.1016/j.rpor.2020.01.004

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  23 in total

1.  Monte Carlo-based inverse treatment planning.

Authors:  R Jeraj; P Keall
Journal:  Phys Med Biol       Date:  1999-08       Impact factor: 3.609

2.  Convolution/superposition using the Monte Carlo method.

Authors:  Shahid A Naqvi; Matthew A Earl; David M Shepard
Journal:  Phys Med Biol       Date:  2003-07-21       Impact factor: 3.609

3.  A finite size pencil beam algorithm for IMRT dose optimization: density corrections.

Authors:  U Jeleń; M Alber
Journal:  Phys Med Biol       Date:  2007-01-10       Impact factor: 3.609

4.  Effects of contrast materials in IMRT and VMAT of prostate using a commercial Monte Carlo algorithm.

Authors:  Mahesh Mundayadan Chandroth; Anthony Venning; Brendan Chick; Brett Waller
Journal:  Australas Phys Eng Sci Med       Date:  2016-02-25       Impact factor: 1.430

5.  Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media.

Authors:  A Ahnesjö
Journal:  Med Phys       Date:  1989 Jul-Aug       Impact factor: 4.071

6.  Accuracy of patient dose calculation for lung IMRT: A comparison of Monte Carlo, convolution/superposition, and pencil beam computations.

Authors:  Barbara Vanderstraeten; Nick Reynaert; Leen Paelinck; Indira Madani; Carlos De Wagter; Werner De Gersem; Wilfried De Neve; Hubert Thierens
Journal:  Med Phys       Date:  2006-09       Impact factor: 4.071

7.  A Monte Carlo model of photon beams used in radiation therapy.

Authors:  D M Lovelock; C S Chui; R Mohan
Journal:  Med Phys       Date:  1995-09       Impact factor: 4.071

8.  Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system.

Authors:  C M Ma; T Pawlicki; S B Jiang; J S Li; J Deng; E Mok; A Kapur; L Xing; L Ma; A L Boyer
Journal:  Phys Med Biol       Date:  2000-09       Impact factor: 3.609

9.  Comparative study of convolution, superposition, and fast superposition algorithms in conventional radiotherapy, three-dimensional conformal radiotherapy, and intensity modulated radiotherapy techniques for various sites, done on CMS XIO planning system.

Authors:  K R Muralidhar; Narayana P Murthy; Alluri Krishnam Raju; Nvnm Sresty
Journal:  J Med Phys       Date:  2009-01

10.  Monte Carlo vs. pencil beam based optimization of stereotactic lung IMRT.

Authors:  Marcin Sikora; Jan Muzik; Matthias Söhn; Martin Weinmann; Markus Alber
Journal:  Radiat Oncol       Date:  2009-12-12       Impact factor: 3.481

View more
  1 in total

1.  Study of efficiency in five-field and field-by-field intensity modulated radiation therapy (IMRT) plan using DOSXYZnrc Monte Carlo code.

Authors:  Sitti Yani; Indra Budiansah; Mohamad Fahdillah Rhani; Freddy Haryanto
Journal:  Rep Pract Oncol Radiother       Date:  2020-04-27
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.