Literature DB >> 16872061

Comprehensive evaluation of a commercial macro Monte Carlo electron dose calculation implementation using a standard verification data set.

Richard A Popple1, Rebecca Weinberg, John A Antolak, Sung-Joon Ye, Prem N Pareek, Jun Duan, Sui Shen, Ivan A Brezovich.   

Abstract

A commercial electron dose calculation software implementation based on the macro Monte Carlo algorithm has recently been introduced. We have evaluated the performance of the system using a standard verification data set comprised of two-dimensional (2D) dose distributions in the transverse plane of a 15 X 15 cm2 field. The standard data set was comprised of measurements performed for combinations of 9-MeV and 20-MeV beam energies and five phantom geometries. The phantom geometries included bone and air heterogeneities, and irregular surface contours. The standard verification data included a subset of the data needed to commission the dose calculation. Additional required data were obtained from a dosimetrically equivalent machine. In addition, we performed 2D dose measurements in a water phantom for the standard field sizes, a 4 cm X 4 cm field, a 3 cm diameter circle, and a 5 cm X 13 cm triangle for the 6-, 9-, 12-, 15-, and 18-MeV energies of a Clinac 21EX. Output factors were also measured. Synthetic CT images and structure contours duplicating the measurement configurations were generated and transferred to the treatment planning system. Calculations for the standard verification data set were performed over the range of each of the algorithm parameters: statistical precision, grid-spacing, and smoothing. Dose difference and distance-to-agreement were computed for the calculation points. We found that the best results were obtained for the highest statistical precision, for the smallest grid spacing, and for smoothed dose distributions. Calculations for the 21EX data were performed using parameters that the evaluation of the standard verification data suggested would produce clinically acceptable results. The dose difference and distance-to-agreement were similar to that observed for the standard verification data set except for the portion of the triangle field narrower than 3 cm for the 6- and 9-MeV electron beams. The output agreed with measurements to within 2%, with the exception of the 3-cm diameter circle and the triangle for 6 MeV, which were within 5%. We conclude that clinically acceptable results may be obtained using a grid spacing that is no larger than approximately one-tenth of the distal falloff distance of the electron depth dose curve (depth from 80% to 20% of the maximum dose) and small relative to the size of heterogeneities. For judicious choices of parameters, dose calculations agree with measurements to better than 3% dose difference and 3-mm distance-to-agreement for fields with dimensions no less than about 3 cm.

Entities:  

Year:  2006        PMID: 16872061     DOI: 10.1118/1.2198328

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


  13 in total

1.  Fast, accurate photon beam accelerator modeling using BEAMnrc: a systematic investigation of efficiency enhancing methods and cross-section data.

Authors:  Margarida Fragoso; Iwan Kawrakow; Bruce A Faddegon; Timothy D Solberg; Indrin J Chetty
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

2.  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

3.  Sensitivity analysis of an asymmetric Monte Carlo beam model of a Siemens Primus accelerator.

Authors:  Eric C Schreiber; Daren L Sawkey; Bruce A Faddegon
Journal:  J Appl Clin Med Phys       Date:  2012-03-08       Impact factor: 2.102

4.  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

5.  Validation of an electron Monte Carlo dose calculation algorithm in the presence of heterogeneities using EGSnrc and radiochromic film measurements.

Authors:  Jean-François Aubry; Hugo Bouchard; Igor Bessières; Frédéric Lacroix
Journal:  J Appl Clin Med Phys       Date:  2011-11-15       Impact factor: 2.102

6.  Evaluation of an electron Monte Carlo dose calculation algorithm for treatment planning.

Authors:  Eve Chamberland; Luc Beaulieu; Bernard Lachance
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

7.  Assessment of Eclipse electron Monte Carlo output prediction for various topologies.

Authors:  Shane L Lawrence; Natascha H M van Lieshout; Paule M Charland
Journal:  J Appl Clin Med Phys       Date:  2015-05-08       Impact factor: 2.102

8.  Comprehensive evaluation and clinical implementation of commercially available Monte Carlo dose calculation algorithm.

Authors:  Aizhen Zhang; Ning Wen; Teamour Nurushev; Jay Burmeister; Indrin J Chetty
Journal:  J Appl Clin Med Phys       Date:  2013-03-04       Impact factor: 2.102

9.  Convolution-based modified Clarkson integration (CMCI) for electron cutout factor calculation.

Authors:  Jina Chang; Mu-Han Lin; Weiguo Lu; Mingli Chen; Steve Jiang
Journal:  J Appl Clin Med Phys       Date:  2018-02-03       Impact factor: 2.102

10.  Verification measurements of an eMC algorithm using a 2D ion chamber array.

Authors:  Mark D Wanklyn; Ghirmay Kidane; Liz Crees
Journal:  J Appl Clin Med Phys       Date:  2016-09-08       Impact factor: 2.102

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