Literature DB >> 9650174

A patient-specific Monte Carlo dose-calculation method for photon beams.

L Wang1, C S Chui, M Lovelock.   

Abstract

A patient-specific, CT-based, Monte Carlo dose-calculation method for photon beams has been developed to correctly account for inhomogeneity in the patient. The method employs the EGS4 system to sample the interaction of radiation in the medium. CT images are used to describe the patient geometry and to determine the density and atomic number in each voxel. The user code (MCPAT) provides the data describing the incident beams, and performs geometry checking and energy scoring in patient CT images. Several variance reduction techniques have been implemented to improve the computation efficiency. The method was verified with measured data and other calculations, both in homogeneous and inhomogeneous media. The method was also applied to a lung treatment, where significant differences in dose distributions, especially in the low-density region, were observed when compared with the results using an equivalent pathlength method. Comparison of the DVHs showed that the Monte Carlo calculated plan predicted an underdose of nearly 20% to the target, while the maximum doses to the cord and the heart were increased by 25% and 33%, respectively. These results suggested that the Monte Carlo method may have an impact on treatment designs, and also that it can be used as a benchmark to assess the accuracy of other dose calculation algorithms. The computation time for the lung case employing five 15-MV wedged beams, with an approximate field size of 13 X 13 cm and the dose grid size of 0.375 cm, was less than 14 h on a 175-MHz computer with a standard deviation of 1.5% in the high-dose region.

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Mesh:

Year:  1998        PMID: 9650174     DOI: 10.1118/1.598262

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


  15 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.  Determination of radiotherapy X-ray spectra using a screen-film system.

Authors:  H M Garnica-Garza
Journal:  Med Biol Eng Comput       Date:  2008-09-09       Impact factor: 2.602

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.  MCAT to XCAT: The Evolution of 4-D Computerized Phantoms for Imaging Research: Computer models that take account of body movements promise to provide evaluation and improvement of medical imaging devices and technology.

Authors:  W Paul Segars; Benjamin M W Tsui
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2009-12       Impact factor: 10.961

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

Authors:  Hiroyuki Okamoto; Yukio Fujita; Kyoko Sakama; Hidetoshi Saitoh; Tatsuaki Kanai; Jun Itami; Toshiyuki Kohno
Journal:  Radiol Phys Technol       Date:  2014-02-08

6.  Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm.

Authors:  I B Mihaylov; J V Siebers
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

7.  Effects of Hounsfield number conversion on CT based proton Monte Carlo dose calculations.

Authors:  Hongyu Jiang; Joao Seco; Harald Paganetti
Journal:  Med Phys       Date:  2007-04       Impact factor: 4.071

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.  GPU-accelerated Monte Carlo simulation of MV-CBCT.

Authors:  Mengying Shi; Marios Myronakis; Matthew Jacobson; Dianne Ferguson; Christopher Williams; Mathias Lehmann; Paul Baturin; Pascal Huber; Rony Fueglistaller; Ingrid Valencia Lozano; Thomas Harris; Daniel Morf; Ross I Berbeco
Journal:  Phys Med Biol       Date:  2020-12-02       Impact factor: 4.174

10.  Commissioning and quality assurance of a commercial stereotactic treatment-planning system for extracranial IMRT.

Authors:  Lu Wang; Jinsheng Li; Kamen Paskalev; Peter Hoban; Wei Luo; Lili Chen; Shawn McNeeley; Robert Price; Charlie Ma
Journal:  J Appl Clin Med Phys       Date:  2006-02-15       Impact factor: 2.102

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