Literature DB >> 34384063

Monte Carlo methods for device simulations in radiation therapy.

Hyojun Park1, Harald Paganetti2, Jan Schuemann2, Xun Jia3, Chul Hee Min1.   

Abstract

Monte Carlo (MC) simulations play an important role in radiotherapy, especially as a method to evaluate physical properties that are either impossible or difficult to measure. For example, MC simulations (MCSs) are used to aid in the design of radiotherapy devices or to understand their properties. The aim of this article is to review the MC method for device simulations in radiation therapy. After a brief history of the MC method and popular codes in medical physics, we review applications of the MC method to model treatment heads for neutral and charged particle radiation therapy as well as specific in-room devices for imaging and therapy purposes. We conclude by discussing the impact that MCSs had in this field and the role of MC in future device design.
© 2021 Institute of Physics and Engineering in Medicine.

Entities:  

Keywords:  Monte Carlo method; device simulation; radiation treatment

Mesh:

Year:  2021        PMID: 34384063      PMCID: PMC8996747          DOI: 10.1088/1361-6560/ac1d1f

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   4.174


  249 in total

1.  Monte Carlo evaluation of a photon pencil kernel algorithm applied to fast neutron therapy treatment planning.

Authors:  Jonas Söderberg; Gudrun Alm Carlsson; Anders Ahnesjö
Journal:  Phys Med Biol       Date:  2003-10-21       Impact factor: 3.609

2.  Benchmarking nuclear models of FLUKA and GEANT4 for carbon ion therapy.

Authors:  T T Böhlen; F Cerutti; M Dosanjh; A Ferrari; I Gudowska; A Mairani; J M Quesada
Journal:  Phys Med Biol       Date:  2010-09-16       Impact factor: 3.609

3.  Dose calculation for photon-emitting brachytherapy sources with average energy higher than 50 keV: report of the AAPM and ESTRO.

Authors:  Jose Perez-Calatayud; Facundo Ballester; Rupak K Das; Larry A Dewerd; Geoffrey S Ibbott; Ali S Meigooni; Zoubir Ouhib; Mark J Rivard; Ron S Sloboda; Jeffrey F Williamson
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

4.  Sensitive volume effects on Monte Carlo calculated ion chamber response in magnetic fields.

Authors:  Victor N Malkov; D W O Rogers
Journal:  Med Phys       Date:  2017-07-19       Impact factor: 4.071

5.  MICRODOSIMETRIC SIMULATIONS OF CARBON IONS USING THE MONTE CARLO CODE FLUKA.

Authors:  S Chiriotti; V Conte; P Colautti; A Selva; A Mairani
Journal:  Radiat Prot Dosimetry       Date:  2018-08-01       Impact factor: 0.972

6.  A Monte Carlo study of the impact of phosphor optical properties on EPID imaging performance.

Authors:  Mengying Shi; Marios Myronakis; Yue-Houng Hu; Daniel Morf; Joerg Rottmann; Ross Berbeco
Journal:  Phys Med Biol       Date:  2018-08-20       Impact factor: 3.609

7.  Calculating dose and output factors for wedged photon radiotherapy fields using a convolution/superposition method.

Authors:  H H Liu; T R Mackie; E C McCullough
Journal:  Med Phys       Date:  1997-11       Impact factor: 4.071

8.  The development, validation and application of a multi-detector CT (MDCT) scanner model for assessing organ doses to the pregnant patient and the fetus using Monte Carlo simulations.

Authors:  J Gu; B Bednarz; P F Caracappa; X G Xu
Journal:  Phys Med Biol       Date:  2009-04-08       Impact factor: 3.609

9.  Dosimetric characteristics, air-kerma strength calibration and verification of Monte Carlo simulation for a new Ytterbium-169 brachytherapy source.

Authors:  H Perera; J F Williamson; Z Li; V Mishra; A S Meigooni
Journal:  Int J Radiat Oncol Biol Phys       Date:  1994-03-01       Impact factor: 7.038

10.  Monte Carlo modeling of HD120 multileaf collimator on Varian TrueBeam linear accelerator for verification of 6X and 6X FFF VMAT SABR treatment plans.

Authors:  Alanah M Bergman; Ermias Gete; Cheryl Duzenli; Tony Teke
Journal:  J Appl Clin Med Phys       Date:  2014-05-08       Impact factor: 2.102

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  1 in total

1.  Determination of the electronic portal imaging device pixel-sensitivity-map for quality assurance applications. Part 1: Comparison of methods.

Authors:  Michael Paul Barnes; Baozhou Sun; Brad Michael Oborn; Bishnu Lamichhane; Stuart Szwec; Matthew Schmidt; Bin Cai; Frederick Menk; Peter Greer
Journal:  J Appl Clin Med Phys       Date:  2022-04-15       Impact factor: 2.243

  1 in total

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