Commissioning a fast Monte Carlo dose calculation algorithm for lung cancer treatment planning

Journal of Applied Clinical Medical Physics

Volumn 9, Issue 2, 2008, Pages 83-97

  Craig, Jeff ^a   Oliver, Mike ^a,b   Gladwish, Adam ^a,b   Mulligan, Matt ^a   Chen, Jeff ^a,b   Wong, Eugene ^a,b  

^a LONDON REGIONAL CANCER PROGRAM   (Canada)

^b UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

Calculations; Commissioning; Dose; Monte Carlo

Indexed keywords

EID: 46149118454     PISSN: None     EISSN: 15269914     Source Type: Journal    
DOI: 10.1120/jacmp.v9i2.2702     Document Type: Article

References (28)

1. Brahme A, Lax I, Andreo P. Electron beam dose planning using discrete Gaussian beams. Mathematical background. Acta Oncol. 1981;20(2):147-158.
2. Hogstrom KR, Mills MD, Almond PR. Electron beam dose calculations. Phys Med Biol. 1991;26(3):445-459.
3. Mohan R, Chui C, Lidofsky L. Differential pencil beam dose computation model for photons. Med Phys. 1986;13(1):64-73.
4. Ulmer W, Pyyry J, Kaissl W. A3D photon superposition/convolution algorithm and its foundation on results of Monte Carlo calculations. Phys Med Biol. 2005;50(8):1767-1790.
5. Boyer A, Mok E. A photon dose distribution model employing convolution calculations. Med Phys. 1985; 12(2):169-177.
6. Ahnesjö A. Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media. Med Phys. 1989;16(4):577-592.
7. Fippel M, Kawrakow I, Friedrich K. Electron beam dose calculations with the VMC algorithm and the verification data of the NCI working group. Phys Med Biol. 1997;42(3):501-520.
8. Kawrakow I, Fippel M. Investigation of variance reduction techniques for Monte Carlo photon dose calculation using XVMC. Phys Med Biol. 2000;45(8):2163-2183.
9. Hartmann Siantar CL, Walling RS, Daly TP, et al. Description and dosimetric verification of the PEREGRINE Monte Carlo dose calculation system for photon beams incident on a water phantom. Med Phys. 2001;28(7):1322-1337.
10. Neuenschwander H, Mackie TR, Reckwerdt PJ. MMC - a high-performance Monte Carlo code for electron beam treatment planning. Phys Med Biol. 1995;40(4):543-574.
11. Fippel M. Fast Monte Carlo dose calculation for photon beams based on the VMC electron algorithm. Med Phys. 1999;26(8):1466-1475.
12. Kawrakow L Proceeding of the Monte Carlo 2000 Meeting Lisbon. In: Kling A, Barao FJC, Nakaqawa M, et al., editors. Advanced Monte Carlo for radiation physics, particle transport simulation and applications. Berlin (Germany): Springer; 2001: 229-236.
13. Paelinck L, Reynaert N, Thierens H, De NW, De WC. Experimental verification of lung dose with radiochromic film: comparison with Monte Carlo simulations and commercially available treatment planning systems. Phys Med Biol. 2005;50(9):2055-2069.
14. Werner BL, Das U, Salk WN. Dose perturbations at interfaces in photon beams: secondary electron transport. Med Phys. 1990; 17(2):212-226.
15. Van DJ, Barnett RB, Cygler JE, Shragge PC. Commissioning and quality assurance of treatment planning computers. Int J Radiat Oncol Biol Phys. 1993;26(2):261-273.
16. Brahme A, Chavaudra J, Landberg T, et al. Accuracy requirements and quality assurance of external beam therapy with photons and electrons. Acta Oncol. 1988;27(1 Suppl):1-76.
17. Jeraj R, Keall P. The effect of statistical uncertainty on inverse treatment planning based on Monte Carlo dose calculation. Phys Med Biol. 2000;45(12):3601-3613.
18. Chow JC,Wong E, Chen JZ, Van DJ. Comparison of dose calculation algorithms with Monte Carlo methods for photon arcs. Med Phys. 2003;30(10):2686-94.
19. Mackie TR, Balog J, Ruchala K, et al. Tomotherapy. Semin Radiat Oncol. 1999;9(1):108-117.
20. Nelson WR, Hirayama H, Rogers DW. The EGS4 code system. SLAC report no. 265. Stanford (CA): Stanford Linear Accelerator Center; 1985. 398 p.
21. Rogers DWO, Ma CM, Ding GX, Walters B, Sheikh-Bagheri D, Zhang GG. BEAMnre Users Manual. NRC report PIRS 509(a)revK. Ottawa (ON): National Research Council of Canada, Ionizing Radiation Standards; 2007. 242 p.
22. Both JA, Pawlicki T. Monte Carlo commissioning of low energy electron radiotherapy beams using NXEGS software. Int J Med Sci. 2004; 1(2):63-75.
23. El Naqa I, Kawrakow I, Fippel M, et al. A comparison of Monte Carlo dose calculation denoising techniques. Phys. Med Biol. 2005;50(5):909-922.
24. Deasy JO, Wickerhauser MV, Picard M. Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold de-noising. Med Phys. 2002;29(10):2366-2373.
25. De SB, Fippel M, Reynaert N, Thierens H. Denoising of Monte Carlo dose calculations: smoothing capabilities versus introduction of systematic bias. Med Phys. 2006;33(6):1678-1687.
26. Deasy JO, Blanco Al, Clark VH. CERR: a computational environment for radiotherapy research. Med Phys. 2003;30(5):979-985.
27. Low DA, Harms WB, Mutic S, Purdy JA. A technique for the quantitative evaluation of dose distributions. Med Phys. 1998;25(5):656-661.
28. Zhu Y, Van DJ. Accuracy requirements of the primary X-ray spectrum in dose calculations using FFF convolution techniques. Med Phys. 1995;22(4):421-426.