Literature DB >> 17374923

An integrated Monte Carlo dosimetric verification system for radiotherapy treatment planning.

T Yamamoto1, T Mizowaki, Y Miyabe, H Takegawa, Y Narita, S Yano, Y Nagata, T Teshima, M Hiraoka.   

Abstract

An integrated Monte Carlo (MC) dose calculation system, MCRTV (Monte Carlo for radiotherapy treatment plan verification), has been developed for clinical treatment plan verification, especially for routine quality assurance (QA) of intensity-modulated radiotherapy (IMRT) plans. The MCRTV system consists of the EGS4/PRESTA MC codes originally written for particle transport through the accelerator, the multileaf collimator (MLC), and the patient/phantom, which run on a 28-CPU Linux cluster, and the associated software developed for the clinical implementation. MCRTV has an interface with a commercial treatment planning system (TPS) (Eclipse, Varian Medical Systems, Palo Alto, CA, USA) and reads the information needed for MC computation transferred in DICOM-RT format. The key features of MCRTV have been presented in detail in this paper. The phase-space data of our 15 MV photon beam from a Varian Clinac 2300C/D have been developed and several benchmarks have been performed under homogeneous and several inhomogeneous conditions (including water, aluminium, lung and bone media). The MC results agreed with the ionization chamber measurements to within 1% and 2% for homogeneous and inhomogeneous conditions, respectively. The MC calculation for a clinical prostate IMRT treatment plan validated the implementation of the beams and the patient/phantom configuration in MCRTV.

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Year:  2007        PMID: 17374923     DOI: 10.1088/0031-9155/52/7/014

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


  7 in total

1.  Generation of a novel phase-space-based cylindrical dose kernel for IMRT optimization.

Authors:  Hualiang Zhong; Indrin J Chetty
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

2.  Commissioning of 6 MV medical linac for dynamic MLC-based IMRT on Monte Carlo code GEANT4.

Authors:  Hiroyuki Okamoto; Yukio Fujita; Kyoko Sakama; Hidetoshi Saitoh; Tatsuaki Kanai; Jun Itami; Toshiyuki Kohno
Journal:  Radiol Phys Technol       Date:  2014-02-08

3.  Development and validation of MCNPX-based Monte Carlo treatment plan verification system.

Authors:  Iraj Jabbari; Shahram Monadi
Journal:  J Med Phys       Date:  2015 Apr-Jun

4.  Development and reproducibility evaluation of a Monte Carlo-based standard LINAC model for quality assurance of multi-institutional clinical trials.

Authors:  Muhammad Nauman Usmani; Hideki Takegawa; Masaaki Takashina; Hodaka Numasaki; Masaki Suga; Yusuke Anetai; Keita Kurosu; Masahiko Koizumi; Teruki Teshima
Journal:  J Radiat Res       Date:  2014-06-23       Impact factor: 2.724

5.  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

6.  An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method.

Authors:  Mojtaba Karbalaee; Daryoush Shahbazi-Gahrouei; Mohammad B Tavakoli
Journal:  J Med Signals Sens       Date:  2017 Apr-Jun

7.  Validation of a GPU-Based 3D dose calculator for modulated beams.

Authors:  Saeed Ahmed; Dylan Hunt; Jeff Kapatoes; Robert Hayward; Geoffrey Zhang; Eduardo G Moros; Vladimir Feygelman
Journal:  J Appl Clin Med Phys       Date:  2017-03-29       Impact factor: 2.102

  7 in total

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