Literature DB >> 7610114

MMC--a high-performance Monte Carlo code for electron beam treatment planning.

H Neuenschwander1, T R Mackie, P J Reckwerdt.   

Abstract

The macro Monte Carlo (MMC) method has been developed to improve the speed of traditional Monte Carlo (MC) high-energy electron transport calculations without loss in accuracy. The MMC algorithm uses results derived from conventional MC simulations of electron transport through macroscopic spheres of various radii and consisting of a variety of media. Based on these results, electrons are transported in macroscopic steps through the absorber. The absorber geometry is represented by a three-dimensional (3D) density matrix, typically derived from computer tomographic (CT) data. Energy lost by the electrons along their paths through the absorber is scored in a 3D dose matrix. Transport of secondary electrons and bremsstrahlung photons is taken into account. Major modifications of the original implementation of the MMC algorithm have resulted in an improved version of the code, resolving earlier problems with electron transport across interfaces of different materials, and running at a substantially higher speed. Furthermore, the code has been integrated into a clinical 3D treatment planning system. MMC results are in good agreement with results from conventional MC codes and are obtained with a speed gain of about one order of magnitude for clinically relevant irradiation situations. Calculation times to obtain a relative statistical accuracy of 2% per dose grid voxel for small electron field sizes are short enough to be routinely useful in radiotherapy clinics on present day affordable workstation computers. Considering speed, accuracy and memory requirements, MMC is a promising alternative to currently available electron dose planning algorithms.

Mesh:

Year:  1995        PMID: 7610114     DOI: 10.1088/0031-9155/40/4/005

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


  25 in total

1.  Condensed history Monte Carlo methods for photon transport problems.

Authors:  Katherine Bhan; Jerome Spanier
Journal:  J Comput Phys       Date:  2007-08-10       Impact factor: 3.553

2.  PRIMO: a graphical environment for the Monte Carlo simulation of Varian and Elekta linacs.

Authors:  M Rodriguez; J Sempau; L Brualla
Journal:  Strahlenther Onkol       Date:  2013-09-06       Impact factor: 3.621

3.  Monte Carlo simulations applied to conjunctival lymphoma radiotherapy treatment.

Authors:  Lorenzo Brualla; Ricardo Palanco-Zamora; Klaus-Peter Steuhl; Norbert Bornfeld; Wolfgang Sauerwein
Journal:  Strahlenther Onkol       Date:  2011-07-25       Impact factor: 3.621

4.  A Macro-Monte Carlo method for the simulation of diffuse light transport in tissue.

Authors:  Jarod C Finlay; Timothy C Zhu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2006-01-21

Review 5.  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

6.  Implementation and experimental validation of a robust hybrid direct aperture optimization approach for mixed-beam radiotherapy.

Authors:  Emily Heath; Silvan Mueller; Gian Guyer; Alisha Duetschler; Olgun Elicin; Daniel Aebersold; Michael K Fix; Peter Manser
Journal:  Med Phys       Date:  2021-10-14       Impact factor: 4.506

7.  Critical appraisal of volumetric-modulated arc therapy compared with electrons for the radiotherapy of cutaneous Kaposi's sarcoma of lower extremities with bone sparing.

Authors:  G Nicolini; S Abraham; A Fogliata; A Jordaan; A Clivio; E Vanetti; L Cozzi
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

8.  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

9.  Evaluation of an electron Monte Carlo dose calculation algorithm for electron beam.

Authors:  Ye Angela Hu; Haijun Song; Zhe Chen; Sumin Zhou; Fang-Fang Yin
Journal:  J Appl Clin Med Phys       Date:  2008-06-23       Impact factor: 2.102

10.  A review on the use of grid-based Boltzmann equation solvers for dose calculation in external photon beam treatment planning.

Authors:  Monica W K Kan; Peter K N Yu; Lucullus H T Leung
Journal:  Biomed Res Int       Date:  2013-08-27       Impact factor: 3.411

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