Performance of a hybrid MC dose algorithm for IMRT optimization dose evaluation

Medical Physics

Volumn 34, Issue 7, 2007, Pages 2853-2863

  Siebers, Jeffrey V ^a   Kawrakow, Iwan ^b   Ramakrishnan, V ^a  

^a VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

^b NATIONAL RESEARCH COUNCIL CANADA   (Canada)

Author keywords

Dose calculation; Dose prediction error; IMRT; Monte Carlo; Optimization; Optimization convergence error

Indexed keywords

CLUSTER COMPUTING; ERRORS; MONTE CARLO METHODS; OPTIMIZATION; UROLOGY;

COMPUTING CLUSTERS; DOSE CALCULATION; HEAD AND NECK IMRT; IMRT; INTENSITY-MODULATED RADIATION THERAPY; OPTIMIZATION CONVERGENCE; OPTIMIZATION STRATEGY; PREDICTION ERRORS;

RADIOTHERAPY;

ALGORITHM; ARTICLE; CANCER RADIOTHERAPY; CLINICAL ARTICLE; DOSIMETRY; HEAD AND NECK CANCER; HUMAN; INTENSITY MODULATED RADIATION THERAPY; MATHEMATICAL MODEL; MONTE CARLO METHOD; PRIORITY JOURNAL; PROSTATE CANCER; RADIATION DOSE; RADIATION DOSE DISTRIBUTION; TREATMENT PLANNING; RADIOTHERAPY PLANNING SYSTEM;

ALGORITHMS; HUMANS; MONTE CARLO METHOD; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RADIOTHERAPY, INTENSITY-MODULATED;

EID: 34347384635     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.2745236     Document Type: Article

References (56)

1. C.-M. Ma, T. Pawlicki, S. B. Jiang, J. S. Li, J. Deng, E. Mok, A. Kapur, L. Xing, L. Ma, and A. L. Boyer, " Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system., " Phys. Med. Biol. 45, 2483-2495 (2000).
2. T. Pawlicki and C.-M. Ma, " Monte Carlo simulation for MLC-based intensity-modulated radiotherapy., " Med. Dosim. 26, 157-168 (2001).
3. P. J. Keall, J. V. Siebers, M. Arnfield, J. O. Kim, and R. Mohan, " Monte Carlo dose calculations for dynamic IMRT treatments., " Phys. Med. Biol. 46, 929-941 (2001).
4. L. Wang, E. Yorke, and C. S. Chui, " Monte Carlo evaluation of 6 MV intensity modulated radiotherapy plans for head and neck and lung treatments., " Med. Phys. 29, 2705-2717 (2002).
5. P. Francescon, S. Cora, and P. Chiovati, " Dose verification of an IMRT treatment planning system with the BEAM EGS4-based Monte Carlo code., " Med. Phys. 30, 144-157 (2003).
6. C. Boudreau, E. Heath, J. Seuntjens, O. Ballivy, and W. Parker, " IMRT head and neck treatment planning with a commercially available Monte Carlo based planning system., " Phys. Med. Biol. 50, 879-890 (2005).
7. N. Sakthi, P. Keall, I. Mihaylov, Q. Wu, Y. Wu, J. F. Williamson, R. Schmidt-Ullrich, and J. V. Siebers, " Monte Carlo-based dosimetry of head-and-neck patients treated with SIB-IMRT., " Int. J. Radiat. Oncol., Biol., Phys. 64, 968-977 (2006).
8. J. Fan, J. Li, L. Chen, S. Stathakis, W. Luo, F. Du Plessis, W. Xiong, J. Yang, and C.-M. Ma, " A practical Monte Carlo MU verification tool for IMRT quality assurance., " Phys. Med. Biol. 51, 2503-2515 (2006).
9. J. Seco, E. Adams, M. Bidmead, M. Partridge, and F. Verhaegen, " Head-and-neck IMRT treatments assessed with a Monte Carlo dose calculation engine., " Phys. Med. Biol. 50, 817-830 (2005).
10. J. Yang, J. Li, L. Chen, R. Price, S. McNeeley, L. Qin, L. Wang, W. Xiong, and C.-M. Ma, " Dosimetric verification of IMRT treatment planning using Monte Carlo simulations for prostate cancer., " Phys. Med. Biol. 50, 869-878 (2005).
11. A. Leal, F. Sanchez-Doblado, R. Arrans, J. Rosello, E. C. Pavon, and J. I. Lagares, " Routine IMRT verification by means of an automated Monte Carlo simulation system., " Int. J. Radiat. Oncol., Biol., Phys. 56, 58-68 (2003).
12. R. Jeraj and P. Keall, " Monte Carlo-based inverse treatment planning., " Phys. Med. Biol. 44, 1885-1896 (1999).
13. R. Jeraj and P. Keall, " The effect of statistical uncertainty on inverse treatment planning based on Monte Carlo dose calculation., " Phys. Med. Biol. 45, 3601-3613 (2000).
14. R. Jeraj, P. J. Keall, and J. V. Siebers, " The effect of dose calculation accuracy on inverse treatment planning., " Phys. Med. Biol. 47, 391-407 (2002).
15. I. B. Mihaylov, F. A. Lerma, Y. Wu, and J. V. Siebers, " Analytic IMRT dose calculations utilizing Monte Carlo to predict MLC fluence modulation., " Med. Phys. 33, 828-839 (2006).
16. I. Mihaylov, F. Lerma, M. Fatyga, and J. Siebers, " Quantification of the impact of fluence prediction and tissue heterogeneities on dynamic IMRT dose calculations., " Med. Phys. 34, 1244-1252 (2007).
17. J. V. Siebers, M. Lauterbach, P. J. Keall, and R. Mohan, " Incorporating multi-leaf collimator leaf sequencing into iterative IMRT optimization., " Med. Phys. 29, 952-959 (2002).
18. J. Seco, P. M. Evans, and S. Webb, " An optimization algorithm that incorporates IMRT delivery constraints., " Phys. Med. Biol. 47, 899-915 (2002).
19. J. Seco, C. H. Clark, P. M. Evans, and S. Webb, " A quantitative study of IMRT delivery effects in commercial planning systems for the case of oesophagus and prostate tumours., " Br. J. Radiol. 79, 401-408 (2006).
20. M. Alber and F. Nusslin, " Optimization of intensity modulated radiotherapy under constraints for static and dynamic MLC delivery., " Phys. Med. Biol. 46, 3229-3239 (2001).
21. P. S. Cho and R. J. Marks II, " Hardware-sensitive optimization for intensity modulated radiotherapy., " Phys. Med. Biol. 45, 429-440 (2000).
22. N. Dogan, J. V. Siebers, P. J. Keall, Y. Wu, F. A. Lerma, J. F. Williamson, and R. K. Schmidt-Ullrich, " Improving IMRT dose accuracy via deliverable Monte Carlo optimization for the treatment of head and neck cancer patients., " Med. Phys. 33, 4033-4043 (2006).
23. X. Wang, S. Spirou, T. LoSasso, J. Stein, C. S. Chui, and B. Mohan, " Dosimetric verification of intensity-modulated fields., " Med. Phys. 23, 317-327 (1996).
24. A. M. Bergman, K. Bush, M. P. Milette, I. A. Popescu, K. Otto, and C. Duzenli, " Direct aperture optimization for IMRT using Monte Carlo generated beamlets., " Med. Phys. 33, 3666-3679 (2006).
25. W. Laub, M. Alber, M. Birkner, and F. Nusslin, " Monte Carlo dose computation for IMRT optimization., " Phys. Med. Biol. 45, 1741-1754 (2000).
26. J. V. Siebers and R. Mohan, " Monte Carlo and IMRT., " in Intensity-Modulated Radiation Therapy, The State of the Art, edited by, R. Mackie, and, J. Palta, (Medical Physics Publishing Corp, Madison, Wisconsin, 2003).
27. J. V. Siebers and C.-M. Ma, " Monte Carlo applications in IMRT planning and quality assurance., " in Proceedings of the 2006 AAPM Summer School, edited by, I. Chetty, (Medical Physics Publishing Corp, Madison, WI, 2006).
28. J. O. Kim, J. V. Siebers, P. J. Keall, M. R. Arnfield, and R. Mohan, " A Monte Carlo study of radiation transport through multileaf collimators., " Med. Phys. 28, 2497-2506 (2001).
29. M. Fippel, M. Alber, M. Birkner, W. Laub, F. Nusslin, and I. Kawrakow, " Inverse Treatment Planning for Radiation Therapy Based on Fast Monte Carlo Dose Calculation., " in Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation, and Applications: Proceedings of the Monte Carlo 2000 Conference, Lisbon, edited by, A. Kling,,, F. Barao,,, M. Nakagawa,, (Springer, Berlin, 2000), pp. 217-222.
30. W. Bar, M. Schwarz, M. Alber, L. J. Bos, B. J. Mijnheer, C. Rasch, C. Schneider, F. Nusslin, and E. M. Damen, " A comparison of forward and inverse treatment planning for intensity-modulated radiotherapy of head and neck cancer., " Radiother. Oncol. 69, 251-258 (2003).
31. W. Bar, M. Alber, and F. Nusslin, " [Fluence-modulated radiotherapy with an optimization-integrated sequencer]., " Z. Med. Phys. 13, 12-15 (2003).
32. M. Alber, M. Birkner, W. Laub, and F. Nusslin, " Hyperion: an integrated IMRT planning tool., " in Proceedings of the XIII International Conference on the Use of Computers in Radiation Therapy, edited by, W. Schlegel, and, T. Bortfeld, (Springer, Heidelberg, 2000), pp. 46-48.
33. R. Nelson, H. Hirayama, and D. W. Rogers, " The EGS4 code system., " SLAC-265, Stanford University, 1985.
34. C.-M. Ma, P. Reckwerdt, M. Holmes, D. W. O. Rogers, B. Geiser, and B. Walters, " DOSXYZ users manual., " PIRS-0509b, National Research Council of Canada, 1995.
35. I. Kawrakow, " VMC++, electron and photon Monte Carlo calculations optimized for Radiation Treatment Planning., " in Advanced Monte Carlo for Radiation Physics, Particle Transport Simulation and Applications: Proceedings of the Monte Carlo 2000 Meeting, edited by, A. Kling,,, F. Barao,,, M. Nakagawa,, (Springer, Berlin, 2001, Lisbon, 2000), pp. 229-236.
36. J. V. Siebers, M. Lauterbach, S. Tong, Q. Wu, and R. Mohan, " Reducing dose calculation time for accurate iterative IMRT planning., " Med. Phys. 29, 231-237 (2002).
37. Q. Wu and R. Mohan, " Algorithms and functionality of an intensity modulated radiotherapy optimization system., " Med. Phys. 27, 701-711 (2000).
38. R. Mohan and C. S. Chui, " Use of fast Fourier transforms in calculating dose distributions for irregularly shaped fields for three-dimensional treatment planning., " Med. Phys. 14, 70-77 (1987).
39. Q. Wu, M. Arnfield, S. Tong, Y. Wu, and R. Mohan, " Dynamic splitting of large intensity-modulated fields., " Phys. Med. Biol. 45, 1731-1740 (2000).
40. P. J. Keall, J. V. Siebers, B. Libby, and R. Mohan, " Determining the incident electron fluence for Monte Carlo-based photon treatment planning using a standard measured data set., " Med. Phys. 30, 574-582 (2003).
41. B. Libby, J. Siebers, and R. Mohan, " Validation of Monte Carlo generated phase-space descriptions of medical linear accelerators., " Med. Phys. 26, 1476-1483 (1999).
42. J. V. Siebers, P. J. Keall, B. Libby, and R. Mohan, " Comparison of EGS4 and MCNP4b Monte Carlo codes for generation of photon phase space distributions for a Varian 2100C., " Phys. Med. Biol. 44, 3009-3026 (1999).
43. J. V. Siebers, P. J. Keall, J. O. Kim, and R. Mohan, " A method for photon beam Monte Carlo multileaf collimator particle transport., " Phys. Med. Biol. 47, 3225-3249 (2002).
44. P. J. Keall, J. V. Siebers, R. Jeraj, and R. Mohan, " The effect of dose calculation uncertainty on the evaluation of radiotherapy plans., " Med. Phys. 27, 478-484 (2000).
45. J. J. Gordon, A. J. Crimaldi, M. Hagan, J. A. Moore, and J. V. Siebers, " Evaluation of clinical margins via simulation of patient setup errors in prostate IMRT treatment plans., " Med. Phys. 34, 202-214 (2007).
46. Q. Wu, R. Mohan, M. Morris, A. Lauve, and R. Schmidt-Ullrich, " Simultaneous integrated boost intensity-modulated radiotherapy for locally advanced head-and-neck squamous cell carcinomas. I: dosimetric results., " Int. J. Radiat. Oncol., Biol., Phys. 56, 573-585 (2003).
47. Q. Wu, M. Manning, R. Schmidt-Ullrich, and R. Mohan, " The potential for sparing of parotids and escalation of biologically effective dose with intensity-modulated radiation treatments of head and neck cancers: a treatment design study., " Int. J. Radiat. Oncol., Biol., Phys. 46, 195-205 (2000).
48. J. V. Siebers, P. J. Keall, Q. Wu, J. F. Williamson, and R. K. Schmidt-Ullrich, " Effect of patient setup errors on simultaneously integrated boost head and neck IMRT treatment plans., " Int. J. Radiat. Oncol., Biol., Phys. 63, 422-433 (2005).
49. A. Lauve, M. Morris, R. Schmidt-Ullrich, Y. Wu, Q. Wu, S. Tong, C. Johnson, O. Abayomi, D. Buck, D. Holdford, K. Dawson, and R. Mohan, " A phase I trial using a parotid-sparing, accelerated Intensity-Modulated Radiotherapy (IMRT) regimen to treat locally advanced head and neck squamous cell carcinoma., " Int. J. Radiat. Oncol., Biol., Phys. 57 (2 Suppl), S302-S303 (2003).
50. B. Rosner, " Fundamental of biostatistics., " Boston: Duxbrery, 54-58 (1986).
51. J. O. Deasy, " Denoising of electron beam Monte Carlo dose distributions using digital filtering techniques., " Phys. Med. Biol. 45, 1765-1779 (2000).
52. J. O. Deasy, M. V. Wickerhauser, and M. Picard, " Accelerating Monte Carlo simulations of radiation therapy dose distributions using wavelet threshold de-noising., " Med. Phys. 29, 2366-2373 (2002).
53. I. El Naqa, I. Kawrakow, M. Fippel, J. V. Siebers, P. E. Lindsay, M. V. Wickerhauser, M. Vicic, K. Zakarian, N. Kauffmann, and J. O. Deasy, " A comparison of Monte Carlo dose calculation denoising techniques., " Phys. Med. Biol. 50, 909-922 (2005).
54. I. Kawrakow, " On the de-noising of Monte Carlo calculated dose distributions., " Phys. Med. Biol. 47, 3087-3103 (2002).
55. B. De Smedt, M. Fippel, N. Reynaert, and H. Thierens, " Denoising of Monte Carlo dose calculations: smoothing capabilities versus introduction of systematic bias., " Med. Phys. 33, 1678-1687 (2006).
56. I. El Naqa, J. Cui, G. Olivera, and J. O. Deasy, " [Abstract] Using convolution superposition to guide denoising of Monte-Carlo dose distributions., " Med. Phys. 33, 2200 (2006).