Literature DB >> 11580169

A method of simulating dynamic multileaf collimators using Monte Carlo techniques for intensity-modulated radiation therapy.

H H Liu1, F Verhaegen, L Dong.   

Abstract

A method of modelling the dynamic motion of multileaf collimators (MLCs) for intensity-modulated radiation therapy (IMRT) was developed and implemented into the Monte Carlo simulation. The simulation of the dynamic MLCs (DMLCs) was based on randomizing leaf positions during a simulation so that the number of particle histories being simulated for each possible leaf position was proportional to the monitor units delivered to that position. This approach was incorporated into an EGS4 Monte Carlo program, and was evaluated in simulating the DMLCs for Varian accelerators (Varian Medical Systems, Palo Alto. CA, USA). The MU index of each segment, which was specified in the DMLC-control data, was used to compute the cumulative probability distribution function (CPDF) for the leaf positions. This CPDF was then used to sample the leaf positions during a real-time simulation, which allowed for either the step-shoot or sweeping-leaf motion in the beam delivery. Dose intensity maps for IMRT fields were computed using the above Monte Carlo method, with its accuracy verified by film measurements. The DMLC simulation improved the operational efficiency by eliminating the need to simulate multiple segments individually. More importantly, the dynamic motion of the leaves could be simulated more faithfully by using the above leaf-position sampling technique in the Monte Carlo simulation.

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Year:  2001        PMID: 11580169     DOI: 10.1088/0031-9155/46/9/302

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


  7 in total

1.  Analytic IMRT dose calculations utilizing Monte Carlo to predict MLC fluence modulation.

Authors:  I B Mihaylov; F A Lerma; Y Wu; J V Siebers
Journal:  Med Phys       Date:  2006-04       Impact factor: 4.071

2.  Monte Carlo Modeling of the Agility MLC for IMRT and VMAT Calculations.

Authors:  Shingo Ohira; Hideki Takegawa; Masayoshi Miyazaki; Masahiko Koizumi; Teruki Teshima
Journal:  In Vivo       Date:  2020 Sep-Oct       Impact factor: 2.155

3.  Lung tumor tracking in fluoroscopic video based on optical flow.

Authors:  Qianyi Xu; Russell J Hamilton; Robert A Schowengerdt; Brian Alexander; Steve B Jiang
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

4.  A modular method to handle multiple time-dependent quantities in Monte Carlo simulations.

Authors:  J Shin; J Perl; J Schümann; H Paganetti; B A Faddegon
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

5.  Moving GPU-OpenCL-based Monte Carlo dose calculation toward clinical use: Automatic beam commissioning and source sampling for treatment plan dose calculation.

Authors:  Zhen Tian; Yongbao Li; Nima Hassan-Rezaeian; Steve B Jiang; Xun Jia
Journal:  J Appl Clin Med Phys       Date:  2017-02-16       Impact factor: 2.102

6.  Development of a dose verification system for Vero4DRT using Monte Carlo method.

Authors:  Yoshitomo Ishihara; Akira Sawada; Mitsuhiro Nakamura; Yuki Miyabe; Hiroaki Tanabe; Shuji Kaneko; Kenji Takayama; Takashi Mizowaki; Masaki Kokubo; Masahiro Hiraoka
Journal:  J Appl Clin Med Phys       Date:  2014-11-08       Impact factor: 2.102

7.  Primo software as a tool for Monte Carlo simulations of intensity modulated radiotherapy: a feasibility study.

Authors:  Alessandro Esposito; Sofia Silva; Jorge Oliveira; Joana Lencart; João Santos
Journal:  Radiat Oncol       Date:  2018-05-15       Impact factor: 3.481

  7 in total

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