Monte Carlo treatment planning for photon and electron beams

Radiation Physics and Chemistry

Volumn 76, Issue 4, 2007, Pages 643-686

  Reynaert, N ^a   van der Marck, S C ^a   Schaart, D R ^a   Van der Zee, W ^a   Van Vliet Vroegindeweij, C ^a   Tomsej, M ^a   Jansen, J ^a   Heijmen, B ^a   Coghe, M ^a   De Wagter, C ^a  

^a GHENT UNIVERSITY   (Belgium)

Author keywords

Monte Carlo; Radiotherapy treatment planning

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; ELECTRON BEAMS; MONTE CARLO METHODS; PATIENT TREATMENT; PHOTONS;

INTENSITY MODULATED RADIOTHERAPY (IMRT); PATIENT MODELING; RADIOTHERAPY TREATMENT PLANNING;

RADIOTHERAPY;

ACCURACY; ALGORITHM; COLLIMATOR; DOSE CALCULATION; DOSIMETRY; ELECTRON BEAM; ELECTRON THERAPY; HUMAN; INTENSITY MODULATED RADIATION THERAPY; LINEAR ACCELERATOR; MONTE CARLO METHOD; PHANTOM; PHOTON THERAPY; RADIATION DOSE; REVIEW; TREATMENT PLANNING;

EID: 33846618618     PISSN: 0969806X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.radphyschem.2006.05.015     Document Type: Review

References (150)

1. AAPM TG #23, 1995. Radiation Treatment Planning Dosimetry Verification, AAPM Report 55.
2. Ahnesjö, A., 1987. Invariance of convolution kernels applied to dose calculations for photon beams. In: Bruinvis, I.A.D., van der Giessen, P.H., van Kleffens, H.J., Wittkämper, F.W. (Eds.), Proceedings of the International Conference on the Use of Computers in Radiation Therapy IX ICCR, Scheveningen, The Netherlands, Elsevier, Amsterdam, pp. 99-102.
3. Ahnesjö A. Collapsed cone convolution of radiant energy for photon dose calculations in heterogeneous media. Med. Phys. 16 (1989) 577-592
4. Ahnesjö A., and Aspradakis M.M. Topical review: dose calculations for external photon beams in radiotherapy. Phys. Med. Biol. 44 (1999) R99-R155
5. Andreo P. Review: Monte Carlo techniques in medical radiation physics. Phys. Med. Biol. 36 (1991) 861-920
6. Antolak J.A., Bieda M.R., and Hogstrom K.R. Using Monte Carlo methods to commission electron beams: a feasibility study. Med. Phys. 29 (2002) 771-786
7. Arnfield M.R., Siantar C.H., Siebers J.V., Garmon P., Cox L., and Mohan R. The impact of electron transport on the accuracy of computed dose. Med. Phys. 27 (2000) 1266-1274
8. Berger M.J. Monte Carlo calculations of the penetration and diffusion of fast charged particles. In: Alder B., Fernbach S., and Rotenberg M. (Eds). Methods in Computational Physics vol. 1 (1963), Academic Press, New York 135-215
9. Bogner L., Scherer J., and Herbst M. An inverse Monte Carlo optimization algorithm for conformal radiotherapy. Phys. Med. 15 (1999) 111-119
10. Boudreau C., Heath E., Seuntjens J., Ballivy O., and Parker W. IMRT head and neck treatment planning with a commercially available Monte Carlo based planning system. Phys. Med. Biol. 50 (2005) 879-890
11. Boyer, A.L., Mok, E.C., 1984. In: Cunningham, J.R., Ragan, D., Van Dyk, J. (Eds.), Proceedings of the Eighth International Conference in Radiation Therapy, Toronto. IEEE Computer Society, Toronto, 1984, p. 14.
12. Boyer A.L., and Li S. Geometric analysis of light-field position of a multileaf collimator wit curved ends. Med. Phys. 24 (1997) 757-762
13. Briesmeister, J.F., 2000. MCNP™-A general Monte Carlo N-particle transport code, Version 4C. Technical Report No. LA-13709-M, Los Alamos National Laboratory.
14. Brooks R.A., Mitchell L.G., O'Conner C.M., and Di Chiro G. On the relation between computed tomography numbers and specific gravity. Phys. Med. Biol. 26 (1981) 141-147
15. Buffa F.M., and Nahum A.E. Monte Carlo dose calculations and radiobiological modeling: analysis of the effect of the statistical noise of the dose distribution on the probability of tumour control. Phys. Med. Biol. 45 (2000) 3009-3023
16. Chen Y., Boyer A.L., and Ma C.M. Calculation of X-ray transmission through a multileaf collimator. Med. Phys. 27 (2000) 1717-1726
17. Chetty I.J., Rosu M., McShan D.L., Fraass B.A., and Ten Haken R.K. The influence of beam model differences in the comparison of dose calculation algorithms for lung cancer treatment planning. Phys. Med. Biol. 50 (2005) 802-815
18. Chibani O., and Ma C.M. Photonuclear dose calculations for high-energy photon beams from Siemens and Varian Linacs. Med. Phys. 30 (2003) 1990-2000
19. Chui, C.-S., 1985. A method for three-dimensional gamma-ray dose calculations in heterogeneous media and its applications in radiation therapy. Ph.D. Thesis, University of Columbia.
20. Constantinou C., and Harrington J.C. An electron density calibration phantom for CT-based treatment planning computers. Med. Phys. 19 (1992) 325-327
21. Crammer-Sargison G., Beckman W.A., and Popescu J. Modeling an extreme water-lung interface using a single pencil beam algorithm and the Monte Carlo method. Phys. Med. Biol. 49 (2004) 1557-1567
22. Cygler J.E., Daskalov G.M., Chan G.H., and Ding G.X. Evaluation of the first commercial Monte Carlo dose calculation engine for electron beam treatment planning. Med. Phys. 31 (2004) 142-153
23. Cygler J.E., Lochrin C., Daskalov G.M., Howard M., Zohr R., Esche B., Eapen L., Grimard L., and Caudrelier J.M. Clinical use of a commercial Monte Carlo treatment planning system for electron beams. Phys. Med. Biol. 50 (2005) 1029-1034
24. De Marco J.J., Solberg T.D., and Smathers J.B. A CT-based Monte Carlo simulation tool for dosimetry planning and analysis. Med. Phys. 25 (1998) 1-11
25. De Smedt B., Reynaert N., De Neve W., and Thierens H. DOSSCORE: an accelerated DOSXYZnrc code with an efficient stepping algorithm and scoring grid. Phys. Med. Biol. 49 (2004) 4623-4635
26. Deasy J.O. Denoising of electron beam Monte Carlo dose distributions using digital filtering techniques. Phys. Med. Biol. 45 (2000) 1765-1779
27. Deasy J.O., Wickerhauser V.M., and Picard M. Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold de-noising. Med. Phys. 29 (2002) 2366-2373
28. De Kock E.A., and Schreuder A.N. Letter to the Editor: the calibration of CT Hounsfield units for radiotherapy treatment planning. Phys. Med. Biol. 41 (1996) 1524-1527
29. Deng J., Jiang S.B., Kapur A., Li J., Pawlicki T., and Ma C.-M. Photon beam characterization and modeling for Monte Carlo treatment planning. Phys. Med. Biol. 45 (2000) 411-427
30. Deng J., Pawlicki T., Chen Y., Li J., Jiang S.B., and Ma C.M. The MLC tongue-and-groove effect on IMRT dose distributions. Phys. Med. Biol. 46 (2001) 1039-1060
31. Ding M., Li J., Deng J., Fourkai E., and Ma C.-M. Dose correlation for thoracic motion in radiation therapy of breast cancer. Med. Phys. 30 (2003) 2520-2529
32. Du Plessis F.C.P., Willemse C.A., and Lötter M.G. The indirect use of CT numbers to establish material properties needed for Monte Carlo calculations of dose distributions in patients. Med. Phys. 25 (1998) 1195-1201
33. Ebert M.A., and Hoban P.W. A model for electron-beam applicator scatter. Med. Phys. 22 (1995) 1419-1429
34. El Naqa, I., Deasy, J., Vicic, M., 2003. Locally adaptive denoising of MC dose distributions via hybrid median filtering. In: Proceedings of the IEEE Medical Imaging Conference, 19-25 October, Portland, OR, USA.
35. El Naqa I., Kawrakow I., Fippel M., Siebers J.V., Lindsay P.E., Wickerhauser M.V., Vicic M., Zakarian K., Kauffmann N., and Deasy J.O. A comparison of Monte Carlo dose calculation denoising techniques. Phys. Med. Biol. 50 (2005) 909-922
36. ESTRO, 2004. Quality Assurance of Treatment Planning Systems-Practical Examples for Non-IMRT Photon Beams, ESTRO Booklet 7. ESTRO, Brussels, Belgium.
37. Fernandez-Varea J.M., Mayol R., Baro J., and Salvat F. On the theory and simulation of multiple elastic-scattering of electrons. Nucl. Instrum. Methods B 73 (1993) 447-473
38. Fippel M. Fast Monte Carlo dose calculations for photon beams based on the VMC electron algorithm. Med. Phys. 26 (1999) 1466-1475
39. Fippel M. Efficient particle transport simulation through beam modulating devices for Monte Carlo treatment planning. Med. Phys. 31 (2004) 1235-1241
40. Fippel M., and Nusslin F. Comments on 'Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculation'. Phys. Med. Biol. 45 (2000) L17-L18
41. Fippel M., and Nusslin F. Smoothing Monte Carlo calculated dose distributions by iterative reduction of noise. Phys. Med. Biol. 48 (2003) 1289-1304
42. Fippel M., Haryanto F., Dohm O., Nüsslin F., and Kriesen S. A virtual photon energy fluence model for Monte Carlo dose calculation. Med. Phys. 30 (2003) 301-311
43. Fix M.K., Stampanoni M., Manser P., Born E.J., Mini R., and Rüegsegger P. A multiple source model for 6 MV photon beam dose calculations using Monte Carlo. Phys. Med. Biol. 46 (2001) 1407-1427
44. Fix M.K., Keall P.J., Dawson K., and Siebers J.V. Monte Carlo source model for photon beam radiotherapy: photon source characteristics. Med. Phys. 31 (2004) 3106-3121
45. Fraass B., Doppke K., Hunt M., McCullough E., Nüsslin F., Rawlinson A., Svensson G., and Svensson H. American Association of Physicists in Medicine Radiation Therapy Committee Task Group 53: quality assurance for clinical radiotherapy treatment planning. Med. Phys. 25 (1998) 1773-1836
46. Fraass B.A., Smathers J., and Deye J. Summary and recommendations of a National Cancer Institute workshop on issues limiting the clinical use of Monte Carlo calculation algorithms for megavoltage external beam radiation therapy. Med. Phys. 30 (2003) 3206-3216
47. Francescon P., Cavedon C., Reccanello S., and Cora S. Photon dose calculations of a three-dimensional treatment planning system compared to the Monte Carlo code BEAM. Med. Phys. 27 (2000) 1579-1587
48. Francescon P., Cavedon C., Fix M.K., Keall P.J., Dawson K., and Siebers J.V. Monte Carlo source model for photon beam radiotherapy: photon source characteristics. Med. Phys. 31 (2004) 3106-3121
49. Goudsmit S.A., and Saunderson J.L. Multiple scattering of electrons. Phys. Rev. 57 (1940) 24-29
50. GEANT4, 2003. 〈http://geant4.web.cern.ch/geant4/〉
51. Hartman Siantar, C.L., Bergstrom, P.M., Chandler, W.P., Chase, L., Cox, L.J., Daly, T.P., Garrett, D., Hornstein, S.M., House, R. K., Moses, E.I., Patterson, R.W., Rathkopf, J.A., Schach von Wiitenau, A., 1997. Lawrence Livermore National Laboratory's PEREGRINE Project UCRL-JC 126732.
52. Hartman Siantar C.L., Walling R.S., Daly T.P., Faddegon B., Albright N., Bergstrom P., Bielajew A.F., Chuang C., Garrett D., House R.K., Knapp D., Wieczorek D.J., and Verhey L.J. Description and dosimetric verification of the PEREGRINE Monte Carlo dose calculation system for photon beams on a water phantom. Med. Phys. 28 (2001) 1322-1337
53. He, T.T., 2003. Implementation of a Monte Carlo based inverse planning model for clinical IMRT with MCNP code. Ph.D. Thesis, University of Michigan, USA (abstract in Med. Phys. 30, 482).
54. Heath, E., Seuntjens, J., 2005. 4D Monte Carlo dose calculations in deforming anatomy using direct voxel tracking. In: Proceedings of the 8th Biennial ESTRO Meeting on Physics for Clinical Radiotherapy, Lisbon, Portugal, 26-29 September, 2005.
55. Heath E., Seuntjens J., and Sheikh-Bagheri D. Dosimetric evaluation of the clinical implementation of the first commercial IMRT Monte Carlo treatment planning system at 6 MV. Med. Phys. 31 (2004) 2771-2779
56. Henson P.W., and Fox R.A. The electron density of bone for inhomogeneity correction in radiotherapy planning using CT numbers. Phys. Med. Biol. 29 (1984) 351-359
57. ICRU: Report no. 24, 1976. Determination of Absorbed Dose in a Patient Irradiated by Beams of X or Gamma Rays in Radiotherapy Procedures, International Commission on Radiation Units and Measurements, Washington, DC.
58. James F. Monte Carlo theory and practice. Rep. Prog. Phys. 43 (1980) 1145-1189
59. Jeraj R., and Keall P. Monte Carlo-based inverse treatment planning. Phys. Med. Biol. 44 (1999) 1885-1896
60. Jeraj R., and Keall P. The effect of statistical uncertainty on inverse treatment planning based on Monte Carlo dose calculation. Phys. Med. Biol. 45 (2000) 3601-3613
61. Jeraj R., Keall P.J., and Siebers J.V. The effect of dose calculation accuracy on inverse treatment planning. Phys. Med. Biol. 47 (2002) 391-407
62. Jiang S.B., Pawlicki T., and Ma C.-M. Removing the effect of statistical uncertainty on dose-volume histograms from Monte Carlo dose calculations. Phys. Med. Biol. 45 (2000) 2151-2161
63. Kawrakow, I., 2000a. VMC++, electron and photon Monte Carlo calculations optimized for radiation treatment planning in "Advanced Monte Carlo for Radiation Physics, particle transport simulation and applications". In: Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23-26 October 2000, pp. 229-236.
64. Kawrakow I. Accurate condensed history Monte Carlo simulation of electron transport I. Egsnrc, the new EGS4 version. Med. Phys. 27 (2000) 485-498
65. Kawrakow I. On the de-noising of Monte Carlo calculated dose distributions. Phys. Med. Biol. 47 (2002) 3087-3103
66. Kawrakow I. The effect of Monte Carlo statistical uncertainties on the evaluation of dose distributions in radiation treatment planning. Phys. Med. Biol. 49 (2004) 1549-1556
67. Kawrakow I., and Fippel M. Investigation of variance reduction techniques for Monte Carlo photon dose calculations using XVMC. Phys. Med. Biol. 45 (2000) 2163-2183
68. Kawrakow, I., Rogers, D.W.O., 2003. The EGSnrc code system: Monte Carlo simulation of electron and photon transport. NRCC Report PIRS-701, National Research Council of Canada, Ottawa.
69. Kawrakow I., Fippel M., and Friedrich K. 3D electron dose calculations using a Voxel based Monte Carlo algorithm (VMC). Med. Phys. 23 (1996) 445-457
70. Kawrakow I., Rogers D.W.O., and Walter B.R.B. Large efficiency improvements in BEAMnrc using directional bremsstrahlung splitting. Med. Phys. 31 (2004) 2883-2898
71. Keall P., and Hoban P. Accounting for primary electron scatter in X-ray beam convolution calculations. Med. Phys. 22 (1995) 1413-1418
72. Keall P., and Hoban P. Superposition dose calculations incorporating Monte Carlo generated electron track kernels. Med. Phys. 23 (1996) 479-485
73. Keall P.J., Siebers J.V., and Mohan R. In: Bortfeld T., and Schlegel W. (Eds). The Impact of Monte Carlo Dose Calculations on Treatment Outcomes in the Use of Computers in Radiotherapy (2000), Springer, Heidelberg
74. Keall P.J., Siebers J.V., Arnfield M., Kim J.O., and Mohan R. Monte Carlo dose calculations for dynamic IMRT treatments. Phys. Med. Biol. 46 (2001) 929-941
75. Keall P.J., Siebers J.V., Joshi S., and Mohan R. Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion. Phys. Med. Biol. 49 (2004) 3639-3648
76. Kijewski P.K., and Bjarngard B.E. The use of computed tomography data for radiotherapy dose calculations. Int. J. Radiat. Oncol. Biol. Phys. 4 (1978) 429-435
77. Krieger T., and Sauer O.A. Monte Carlo- versus pencil-beam-/collapsed-cone- dose calculation in a heterogeneous multi-layer phantom. Phys. Med. Biol. 50 (2005) 859-868
78. Laub W., Alber M., Birkner M., and Nusslin F. Monte Carlo dose computation for IMRT optimization. Phys. Med. Biol. 45 (2000) 1741-1754
79. Laub W.U., Bakai A., and Nüsslin F. Intensity modulated irradiation of a thorax phantom: comparisons between measurements, Monte Carlo calculations and pencil beam calculations. Phys. Med. Biol. 46 (2001) 1695-1706
80. Leal A., Sanchez-Doblado F., Arrans R., Rosello J., Pavon C.E., and Lagares J.I. Routine IMRT verification by means of an automated Monte Carlo simulation system. Int. J. Radiat. Oncol. Biol. Phys. 56 (2003) 58-68
81. Li J.S., Pawlicki T., Deng J., Jiang S.B., Mok E., and Ma C.-M. Validation of a Monte Carlo dose calculation tool for radiotherapy treatment planning. Phys. Med. Biol. 45 (2000) 2969-2985
82. w should be used in Monte Carlo treatment planning. Med. Phys. 29 (2002) 922-924
83. Liu H.H., Mackie R.T., and McCullough E.C. Modeling photon output caused by backscattered radiation into the monitor chamber from collimator jaws using a Monte Carlo technique. Med. Phys. 27 (2000) 737-744
84. Liu H.H., Verhaegen F., and Dong L. A method of simulating dynamic multileaf collimators using Monte Carlo techniques for intensity-modulated radiation therapy. Phys. Med. Biol. 46 (2001) 2283-2289
85. Ma C.-M., and Jiang S.B. Topical review: Monte Carlo modeling of electron beams from medical accelerators. Phys. Med. Biol. 44 (1999) R157-R189
86. Ma C.-M., and Nahum A.E. Calculation of absorbed dose ratios using correlated Monte Carlo sampling. Med. Phys. 20 (1993) 1189-1199
87. Ma C.-M., Mok E., Kapur A., Pawlicki T., Findley D., Brain S., Forester K., and Boyer A.L. Clinical implementation of a Monte Carlo treatment planning system. Med. Phys. 26 (1999) 2133-2143
88. Ma C.-M., Li J S., Pawlicki T., Jiang S B., Deng J., Lee M C., Koumrian T., Luxton M., and Brain S. A Monte Carlo dose calculation tool for radiotherapy treatment planning. Phys. Med. Biol. 47 (2002) 1671-1689
89. Ma C.-M., Jiang S.B., Pawlicki T., Chen Y., Li J.S., Deng J., and Boyer A.L. A quality assurance phantom for IMRT dose verification. Phys. Med. Biol. 48 (2003) 561-572
90. Ma C.-M., Price R.A., Li J.S., Chen L., Wang L., Fourkai E., Qin L., and Yang J. Monitor unit calculation for Monte Carlo treatment planning. Phys. Med. Biol. 49 (2004) 1671-1687
91. Ma C.-M., Li J.S., Jiang S.B., Pawlicki T., Xiong W., Qin L.H., and Yang J. Effect of statistical uncertainties on Monte Carlo treatment planning. Phys. Med. Biol. 50 (2005) 891-907
92. Mackie, T.R., 1989. New developments in radiotherapy dose planning. In: Proceedings of the 17th International Congress on Radiology, Paris, p. 30.
93. Mackie T.R. Applications of the Monte Carlo method in radiotherapy. In: Kase K.R., Bjarngard B.E., and Attix F.H. (Eds). The Dosimetry of Ionizing Radiation vol. III (1990), Academic Press, New York 541-620
94. Mackie T.R., Scrimger J.W., and Battista J.J. A convolution method of calculating dose for 15-MV X-rays. Med. Phys. 12 (1985) 188-196
95. Manfredotti C., Nastasi U., Marchisio R., Ongaro C., Gervino G., Ragona R., Anglesio S., and Sannazzari G. Monte Carlo simulations of dose distributions in electron beam radiotherapy treatment planning. Nucl. Instrum Methods A 291 (1990) 646-654
96. Martens C., Reynaert N., De Wagter C., Nilsson P., Coghe M., Palmans H., Thierens H., and De Neve W. Underdosage of the upper-airway mucosa for small fields as used in intensity-modulated radiation therapy: a comparison between radiochromic film measurements, Monte Carlo simulations and collapsed cone convolution calculations. Med. Phys. 29 (2002) 1528-1535
97. McCullough E.C., and Holmes T.W. Acceptance testing computerized radiation therapy treatment planning systems: direct utilization of CT scan data. Med. Phys. 12 (1985) 237-242
98. McGrath, E.J., Irving D.C., 1975, Techniques for Efficient Monte Carlo Simulation, vols. I, II, and III. Report ORNL-RSIC-38, Radiation Shielding Information Center, Oak Ridge National Laboratories, Oak Ridge, TN, USA.
99. Miao B., Jeraj R., Bao S., and Mackie T.R. Adaptive anisotropic diffusion filtering of Monte Carlo dose distributions. Phys. Med. Biol. 48 (2003) 2767-2781
100. Mijnheer B.J., Battermann J.J., and Wambersie A. What degree of accuracy is required and can be achieved in photon and neutron therapy?. Radiother. Oncol. 8 (1987) 237-252
101. Mohan R. Dose calculations for radiation treatment planning. In: Jenkins T.M., Nelson W.R., Rindi A., Nahum A.E., and Rogers D.W.O. (Eds). Monte Carlo Transport of Electrons and Photons (1988), Plenum Press, New York 549-571
102. Mohan, R., 1997. Why Monte Carlo? In: Proceedings of the 12th International Conference on the Use of Computers in Radiation Therapy, Salt Lake City, UT, USA, pp. 16-18.
103. Mohan R., Antolak J., and Hendee W.R. Monte Carlo techniques should replace analytical methods for estimating dose distributions in radiotherapy treatment planning. Med. Phys. 28 (2001) 123-126
104. Molière G. Theorie der Streuung schneller geladener Teilchen II Mehrfach- und Viel-fachstreuung. Z. Naturforsch. A 3 (1948) 78-97
105. Nahum A.E. Overview of photon and electron Monte Carlo. In: Jenkins T.M., Nelson W.R., Rindi A., Nahum A.E., and Rogers D.W.O. (Eds). Monte Carlo Transport of Electrons and Photons (1988), Plenum Press, New York 3-20
106. NCS I, 2006. Quality assurance in 3D-treatment planning systems, NCS Report 15, NCS, Delft, The Netherlands.
107. NCS II, 2006. Monte Carlo treatment planning: an introduction. NCS Report 16, NCS, Delft, The Netherlands.
108. Nelson, W.R., Hirayama, H., Rogers, D.W.O., 1985. The EGS4 Code System SLAC Report 265, Stanford Linear Accelerator Institute.
109. Neuenschwander H., and Born E.J. A Macro Monte Carlo code for electron beam dose calculations. Phys. Med. Biol. 37 (1992) 107-125
110. Neuenschwander H., Mackie T.R., and Reckwerdt P.J. MMC-a high-performance Monte Carlo code for electron beam treatment planning. Phys. Med. Biol. 40 (1995) 543-574
111. Paelinck L., Reynaert N., Thierens H., De Neve W., and De Wagter C. Experimental verification of lung dose with radiochromic film: comparison with Monte Carlo simulations and commercially available treatment planning systems. Phys. Med. Biol. 50 (2005) 2055-2069
112. Paganetti H., Jiang H., and Trofimov A. 4D Monte Carlo simulation of proton beam scanning: modeling of variations in time and space to study the interplay between scanning pattern and time-dependent patient geometry. Phys. Med. Biol. 50 (2005) 983-990
113. Papanikolaou, N., Battista, J., Boyer, A., Kappas, C., Klein, E., Mackie, T.R., Sharpe, M., Van Dyk, J., 2004. Tissue Inhomogeneity Corrections for Megavoltage Photon Beams. AAPM Report No. 85, Task Group No. 65 of the Radiation Therapy Committee of the American Association of Physicists in Medicine. Medical Physics Publishing, Madison, WI.
114. Parker R.P., Hobday P.A., and Cassel K.J. The direct use of CT numbers in radiotherapy calculations for inhomogeneous media. Phys. Med. Biol. 24 (1979) 802-809
115. Poon E., and Verhaegen F. Accuracy of the photon and electron physics in GEANT4 for radiotherapy applications. Med. Phys. 32 (2005) 1696-1711
116. Raeside D.E. Monte Carlo principles and applications. Phys. Med. Biol. 21 (1976) 181-197
117. Reynaert N., De Smedt B., Coghe M., Paelinck L., Van Duyse B., De Gersem W., De Wagter C., De Neve W., and Thierens H. MCDE: a new Monte Carlo dose engine for IMRT. Phys. Med. Biol. 49 (2004) N235-N241
118. Reynaert N., Coghe M., De Smedt B., Paelinck L., Vanderstraeten B., De Gersem W., Van Duyse B., De Wagter C., De Neve W., and Thierens H. The importance of accurate linear accelerator head modeling for IMRT Monte Carlo calculations. Phys. Med. Biol. 50 (2005) 831-846
119. Rogers D.W.O., and Bielajew A.F. Monte Carlo transport of electrons and photons. In: Jenkins T.M., Nelson W.R., and Rindi A. (Eds). A Comparison of EGS and ETRAN Monte Carlo Transport of Electrons and Photons (1988), Plenum Press, New York 323-344
120. Rogers D.W.O., and Bielajew A.F. Monte Carlo techniques of electron and photon transport in radiation dosimetry. In: Kase K.R., Bjarngard B.E., and Attix F.H. (Eds). The Dosimetry of Ionizing Radiation vol. III (1990), Academic Press, New York 427-539
121. Rogers D.W.O., Faddegon B.A., Ding G.X., Ma C.-M., We J., and Mackie T.R. BEAM: a Monte Carlo code to simulate radiotherapy treatment units. Med. Phys. 22 (1995) 503-524
122. Salvat, F., Fernández-Varea, J.M., Sempau, J., 2003. PENELOPE-a code system for Monte Carlo simulation of electron and photon transport, Workshop Proceedings, Issy-les-Moulineaux, France, 7-10 July, 2003.
123. Schach von Wittenau A.E., Cox L.J., Bergstrom Jr. P.M., Chandler W.P., and Hartmann Siantar C.L. Correlated histogram representation of Monte Carlo derived medical accelerator photon-output phase space. Med. Phys. 26 (1999) 1196-1211
124. Schneider U., Pedroni E., and Lomax A. The calibration of CT Hounsfield units for radiotherapy treatment planning. Phys. Med. Biol. 41 (1996) 111-124
125. Schneider W., Bortfeld T., and Schlegel W. Correlation between CT numbers and tissue parameters needed for Monte Carlo simulations of clinical dose distributions. Phys. Med. Biol. 45 (2000) 459-478
126. Seco J., Adams E., Bidmead M., Partridge M., and Verhaegen F. Head and neck IMRT treatments assessed with a Monte Carlo dose calculation engine. Phys. Med. Biol. 50 (2005) 817-830
127. Sempau J., and Bielajew A.F. Towards the elimination of Monte Carlo statistical fluctuation from dose volume histograms for radiotherapy treatment planning. Phys. Med. Biol. 45 (2000) 131-157
128. Sempau J., Acosta E., Baro J., Fernandez-Varea J.M., and Salvat F. An algorithm for Monte Carlo simulation of coupled electron-photon transport. Nucl. Instrum. Methods B 132 (1997) 377-390
129. Sempau J., Wilderman S.J., and Alex F.B. DPM, a fast, accurate Monte Carlo code optimized for photon and electron radiotherapy treatment planning dose calculations. Phys. Med. Biol. 45 (2000) 2263-2291
130. Sempau J., Sanchez-Reyes A., Salvat F., ben Tahar H.O., Jiang S.B., and Fernandez-Varea. Monte Carlo simulation of electron beams from an accelerator head using PENELOPE. Phys. Med. Biol. 46 (2001) 1163-1186
131. Seuntjens, J., Dai, J., Heath, E., Al-Yahya, K., Parker, W., 2004. Retrospective Monte Carlo study of conformal lung cancer treatment plans. Advanced Workshop on Current Topics in Monte Carlo Treatment Planning, May 3-5, Montreal, Canada, p. 32.
132. Siebers, J.V., Keall, P.J., Mohan, R., 2000a. Performance benchmarks of the MCV Monte Carlo system. In: Proceedings of the XIII International Conference on the Use of Computers in Radiation Therapy, Heidelberg, Germany, pp. 129-131.
133. Siebers J.V., Keall P.J., Nahum A.E., and Mohan R. Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based beam dose calculations. Phys. Med. Biol. 45 (2000) 983-995
134. Siebers J.V., Keall P.J., Nahum A.E., and Mohan R. Reply to 'Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based beam dose calculations'. Phys. Med. Biol. 45 (2000) L18-L19
135. Siebers J.V., Keall P.J., Kim J.O., and Mohan R. A method for photon beam Monte Carlo multileaf collimator particle transport. Phys. Med. Biol. 47 (2002) 3225-3232
136. Solberg T.D., DeMarco J.J., Holly F.E., Smathers J.B., and DeSalles A.A.F. Monte Carlo treatment planning for stereotactic radiotherapy. Radiother. Oncol. 49 (1998) 73-84
137. Spezi E., Lewis D.G., and Smith C.W. A DICOM-RT-based toolbox for the evaluation and verification of radiotherapy plans. Phys. Med. Biol. 47 (2002) 4223-4232
138. Van Battum L.J., van der Zee W., and Huizenga H. Scattered radiation form applicators in electron beams. Phys. Med. Biol. 48 (2003) 2493-2507
139. Van der Zee W., Van der Marck S.C., and Hogenbirk A. ORANGE: a Monte Carlo dose engine for radiotherapy. Phys. Med. Biol. 50 (2005) 625-641
140. Van Dyke J., Barnett R., Cygler J., and Schragge P. Commissioning and quality assurance of treatment planning computers. Int. J. Radiat. Oncol. Biol. Phys. 26 (1993) 261-273
141. Verhaegen J., and Devic S. Sensitivity study for CT image use in Monte Carlo treatment planning. Phys. Med. Biol. 50 (2005) 937-946
142. Verhaegen F., and Liu H.H. Incorporating dynamic collimator motion in Monte Carlo simulations: an application in modeling a dynamic wedge. Phys. Med. Biol. 46 (2001) 287-296
143. Verhaegen F., and Seuntjens J. Monte Carlo modeling of external radiotherapy photon beams. Phys. Med. Biol. 48 (2003) R107-R164
144. Verhaegen F., Symonds-Tayler R., Liu H.H., and Nahum A.E. Backscatter towards the monitor ion chamber in high-energy photon and electron beams: charge integration versus Monte Carlo simulation. Phys. Med. Biol. 45 (2000) 3159-3170
145. Wang L., Chui C.-S., and Lovelock M. A patient-specific Monte Carlo dose-calculation method for photon beams. Med. Phys. 25 (1998) 867-878
146. Wang L., Yorke E., and Chui C.-S. Monte Carlo evaluation of 6 MV intensity modulated radiotherapy plans for head and neck and lung treatments. Med. Phys. 29 (2002) 2705-2717
147. Waters, L.S., 2002. MCNPX-user's manual version 2.4.0. Report LA-CP-02-408, Los Alamos National Laboratory.
148. 60Co source. Br. J. Radiol. 52 (1979) 962-967
149. Yang J., Li J., Chen L., Price R., McNeeley S., Qin L., Wang L., Xiong W., and Ma C.-M. Dosimetric verification of IMRT treatment planning using Monte Carlo simulations for prostate cancer. Phys. Med. Biol. 50 (2005) 869-878
150. Yu C.X., Mackie T.R., and Wong J.W. Photon dose calculation incorporating explicit electron transport. Med. Phys. 22 (1995) 1157-1165