Literature DB >> 15543788

Adaptation of GEANT4 to Monte Carlo dose calculations based on CT data.

H Jiang1, H Paganetti.   

Abstract

The GEANT4 Monte Carlo code provides many powerful functions for conducting particle transport simulations with great reliability and flexibility. However, as a general purpose Monte Carlo code, not all the functions were specifically designed and fully optimized for applications in radiation therapy. One of the primary issues is the computational efficiency, which is especially critical when patient CT data have to be imported into the simulation model. In this paper we summarize the relevant aspects of the GEANT4 tracking and geometry algorithms and introduce our work on using the code to conduct dose calculations based on CT data. The emphasis is focused on modifications of the GEANT4 source code to meet the requirements for fast dose calculations. The major features include a quick voxel search algorithm, fast volume optimization, and the dynamic assignment of material density. These features are ready to be used for tracking the primary types of particles employed in radiation therapy such as photons, electrons, and heavy charged particles. Recalculation of a proton therapy treatment plan generated by a commercial treatment planning program for a paranasal sinus case is presented as an example.

Entities:  

Mesh:

Year:  2004        PMID: 15543788     DOI: 10.1118/1.1796952

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  33 in total

1.  A parameter study of pencil beam proton dose distributions for the treatment of ocular melanoma utilizing spot scanning.

Authors:  Kenneth Sutherland; Satoshi Miyajima; Hiroyuki Date; Hiroki Shirato; Masayori Ishikawa; Masao Murakami; Mitsuru Yamagiwa; Paul Bolton; Toshiki Tajima
Journal:  Radiol Phys Technol       Date:  2009-09-19

2.  Dosimetric evaluation of nuclear interaction models in the Geant4 Monte Carlo simulation toolkit for carbon-ion radiotherapy.

Authors:  S Kameoka; K Amako; G Iwai; K Murakami; T Sasaki; T Toshito; T Yamashita; T Aso; A Kimura; T Kanai; N Kanematsu; M Komori; Y Takei; S Yonai; M Tashiro; H Koikegami; H Tomita; T Koi
Journal:  Radiol Phys Technol       Date:  2008-07-01

3.  Reconstruction for proton computed tomography by tracing proton trajectories: a Monte Carlo study.

Authors:  Tianfang Li; Zhengrong Liang; Jayalakshmi V Singanallur; Todd J Satogata; David C Williams; Reinhard W Schulte
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

4.  Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy.

Authors:  Nan Qin; Marco Pinto; Zhen Tian; Georgios Dedes; Arnold Pompos; Steve B Jiang; Katia Parodi; Xun Jia
Journal:  Phys Med Biol       Date:  2017-01-31       Impact factor: 3.609

5.  Monte Carlo calculations for absolute dosimetry to determine machine outputs for proton therapy fields.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2006-05-17       Impact factor: 3.609

6.  Dosimetric accuracy of planning and delivering small proton therapy fields.

Authors:  Bryan Bednarz; Juliane Daartz; Harald Paganetti
Journal:  Phys Med Biol       Date:  2010-11-19       Impact factor: 3.609

7.  Clinical CT-based calculations of dose and positron emitter distributions in proton therapy using the FLUKA Monte Carlo code.

Authors:  K Parodi; A Ferrari; F Sommerer; H Paganetti
Journal:  Phys Med Biol       Date:  2007-05-17       Impact factor: 3.609

8.  DukeSim: A Realistic, Rapid, and Scanner-Specific Simulation Framework in Computed Tomography.

Authors:  Ehsan Abadi; Brian Harrawood; Shobhit Sharma; Anuj Kapadia; William P Segars; Ehsan Samei
Journal:  IEEE Trans Med Imaging       Date:  2018-12-12       Impact factor: 10.048

9.  Experimental validation of the TOPAS Monte Carlo system for passive scattering proton therapy.

Authors:  M Testa; J Schümann; H-M Lu; J Shin; B Faddegon; J Perl; H Paganetti
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

10.  Development of a geometry-based respiratory motion-simulating patient model for radiation treatment dosimetry.

Authors:  Juying Zhang; George X Xu; Chengyu Shi; Martin Fuss
Journal:  J Appl Clin Med Phys       Date:  2008-01-21       Impact factor: 2.102

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.