Literature DB >> 12069086

A Monte Carlo dose calculation tool for radiotherapy treatment planning.

C M Ma1, J S Li, T Pawlicki, S B Jiang, J Deng, M C Lee, T Koumrian, M Luxton, S Brain.   

Abstract

A Monte Carlo user code, MCDOSE, has been developed for radiotherapy treatment planning (RTP) dose calculations. MCDOSE is designed as a dose calculation module suitable for adaptation to host RTP systems. MCDOSE can be used for both conventional photon/electron beam calculation and intensity modulated radiotherapy (IMRT) treatment planning. MCDOSE uses a multiple-source model to reconstruct the treatment beam phase space. Based on Monte Carlo simulated or measured beam data acquired during commissioning, source-model parameters are adjusted through an automated procedure. Beam modifiers such as jaws, physical and dynamic wedges, compensators, blocks, electron cut-outs and bolus are simulated by MCDOSE together with a 3D rectilinear patient geometry model built from CT data. Dose distributions calculated using MCDOSE agreed well with those calculated by the EGS4/DOSXYZ code using different beam set-ups and beam modifiers. Heterogeneity correction factors for layered-lung or layered-bone phantoms as calculated by both codes were consistent with measured data to within 1%. The effect of energy cut-offs for particle transport was investigated. Variance reduction techniques were implemented in MCDOSE to achieve a speedup factor of 10-30 compared to DOSXYZ.

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Year:  2002        PMID: 12069086     DOI: 10.1088/0031-9155/47/10/305

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


  23 in total

1.  Four-dimensional dosimetry validation and study in lung radiotherapy using deformable image registration and Monte Carlo techniques.

Authors:  Tzung-Chi Huang; Ji-An Liang; Thomas Dilling; Tung-Hsin Wu; Geoffrey Zhang
Journal:  Radiat Oncol       Date:  2010-05-29       Impact factor: 3.481

2.  Effects of energy spectrum on dose distribution calculations for high energy electron beams.

Authors:  Abdelkader Toutaoui; Nadia Khelassi-Toutaoui; Zakia Brahimi; Ahmed Chafik Chami
Journal:  J Med Phys       Date:  2009-01

Review 3.  Monte Carlo systems used for treatment planning and dose verification.

Authors:  Lorenzo Brualla; Miguel Rodriguez; Antonio M Lallena
Journal:  Strahlenther Onkol       Date:  2016-11-25       Impact factor: 3.621

4.  Improved efficiency in Monte Carlo simulation for passive-scattering proton therapy.

Authors:  J Ramos Méndez; J Perl; J Schümann; J Shin; H Paganetti; B Faddegon
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

5.  A measurement-based generalized source model for Monte Carlo dose simulations of CT scans.

Authors:  Xin Ming; Yuanming Feng; Ransheng Liu; Chengwen Yang; Li Zhou; Hezheng Zhai; Jun Deng
Journal:  Phys Med Biol       Date:  2017-01-12       Impact factor: 3.609

6.  GPU-based fast gamma index calculation.

Authors:  Xuejun Gu; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2011-02-11       Impact factor: 3.609

7.  A GPU-based finite-size pencil beam algorithm with 3D-density correction for radiotherapy dose calculation.

Authors:  Xuejun Gu; Urszula Jelen; Jinsheng Li; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2011-05-10       Impact factor: 3.609

8.  Geometrical splitting technique to improve the computational efficiency in Monte Carlo calculations for proton therapy.

Authors:  José Ramos-Méndez; Joseph Perl; Bruce Faddegon; Jan Schümann; Harald Paganetti
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

9.  Review of fast monte carlo codes for dose calculation in radiation therapy treatment planning.

Authors:  Keyvan Jabbari
Journal:  J Med Signals Sens       Date:  2011-01

10.  Monte Carlo dose verification of prostate patients treated with simultaneous integrated boost intensity modulated radiation therapy.

Authors:  Nesrin Dogan; Ivaylo Mihaylov; Yan Wu; Paul J Keall; Jeffrey V Siebers; Michael P Hagan
Journal:  Radiat Oncol       Date:  2009-06-15       Impact factor: 3.481

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