Literature DB >> 24510472

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

Hiroyuki Okamoto1, Yukio Fujita, Kyoko Sakama, Hidetoshi Saitoh, Tatsuaki Kanai, Jun Itami, Toshiyuki Kohno.   

Abstract

Monte Carlo simulation is the most accurate tool for calculating dose distributions. In particular, the Electron Gamma shower computer code has been widely used for multi-purpose research in radiotherapy, but Monte Carlo GEANT4 (GEometry ANd Tracking) is rare for radiotherapy with photon beams and needs to be verified further under various irradiation conditions, particularly multi-leaf collimator-based intensity-modulated radiation therapy (MLC-based IMRT). In this study, GEANT4 was used for modeling of a 6 MV linac for dynamic MLC-based IMRT. To verify the modeling of our linac, we compared the calculated data with the measured depth-dose for a 10 × 10 cm(2) field and the measured dose profile for a 35 × 35 cm(2) field. Moreover, 120 MLCs were modeled on the GEANT4. Five tests of MLC modeling were performed: (I) MLC transmission, (II) MLC transmission profile including intra- and inter-leaf leakage, (III) tongue-and-groove leakage, (IV) a simple field with different field sizes by use of MLC and (V) a dynamic MLC-based IMRT field. For all tests, the calculations were compared with measurements of an ionization chamber and radiographic film. The calculations agreed with the measurements: MLC transmissions by calculations and measurements were 1.76 ± 0.01 and 1.87 ± 0.01 %, respectively. In gamma evaluation method (3 %/3 mm), the pass rates of the (IV) and (V) tests were 98.5 and 97.0 %, respectively. Furthermore, tongue-and-groove leakage could be calculated by GEANT4, and it agreed with the film measurements. The procedure of commissioning of dynamic MLC-based IMRT for GEANT4 is proposed in this study.

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Year:  2014        PMID: 24510472     DOI: 10.1007/s12194-014-0256-3

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  28 in total

1.  The MLC tongue-and-groove effect on IMRT dose distributions.

Authors:  J Deng; T Pawlicki; Y Chen; J Li; S B Jiang; C M Ma
Journal:  Phys Med Biol       Date:  2001-04       Impact factor: 3.609

2.  Clinical implementation of a Monte Carlo treatment planning system.

Authors:  C M Ma; E Mok; A Kapur; T Pawlicki; D Findley; S Brain; K Forster; A L Boyer
Journal:  Med Phys       Date:  1999-10       Impact factor: 4.071

3.  Calibration and quality assurance for rounded leaf-end MLC systems.

Authors:  M N Graves; A V Thompson; M K Martel; D L McShan; B A Fraass
Journal:  Med Phys       Date:  2001-11       Impact factor: 4.071

4.  A method for photon beam Monte Carlo multileaf collimator particle transport.

Authors:  Jeffrey V Siebers; Paul J Keall; Jong Oh Kim; Radhe Mohan
Journal:  Phys Med Biol       Date:  2002-09-07       Impact factor: 3.609

5.  A quantitative evaluation of IMRT dose distributions: refinement and clinical assessment of the gamma evaluation.

Authors:  Tom Depuydt; Ann Van Esch; Dominique Pierre Huyskens
Journal:  Radiother Oncol       Date:  2002-03       Impact factor: 6.280

6.  Influence of initial electron beam parameters on Monte Carlo calculated absorbed dose distributions for radiotherapy photon beams.

Authors:  Antonis Tzedakis; John E Damilakis; Michael Mazonakis; John Stratakis; Haralambos Varveris; Nicholas Gourtsoyiannis
Journal:  Med Phys       Date:  2004-04       Impact factor: 4.071

7.  Development and commissioning of a multileaf collimator model in monte carlo dose calculations for intensity-modulated radiation therapy.

Authors:  Si Young Jang; Oleg N Vassiliev; H Helen Liu; Radhe Mohan; Jeffrey V Siebers
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

8.  A software tool for the quantitative evaluation of 3D dose calculation algorithms.

Authors:  W B Harms; D A Low; J W Wong; J A Purdy
Journal:  Med Phys       Date:  1998-10       Impact factor: 4.071

9.  A technique for the quantitative evaluation of dose distributions.

Authors:  D A Low; W B Harms; S Mutic; J A Purdy
Journal:  Med Phys       Date:  1998-05       Impact factor: 4.071

10.  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

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  2 in total

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Authors:  Hyojun Park; Harald Paganetti; Jan Schuemann; Xun Jia; Chul Hee Min
Journal:  Phys Med Biol       Date:  2021-09-14       Impact factor: 4.174

2.  Dosimetric impact of an air passage on intraluminal brachytherapy for bronchus cancer.

Authors:  Hiroyuki Okamoto; Akihisa Wakita; Satoshi Nakamura; Shie Nishioka; Ako Aikawa; Toru Kato; Yoshihisa Abe; Kazuma Kobayashi; Koji Inaba; Naoya Murakami; Jun Itami
Journal:  J Radiat Res       Date:  2016-09-07       Impact factor: 2.724

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