TOPAS: An innovative proton Monte Carlo platform for research and clinical applications

Medical Physics

Volumn 39, Issue 11, 2012, Pages 6818-6837

  Perl, J ^a   Shin, J ^b   Schumann J ^c   Faddegon, B ^b   Paganetti, H ^c  

^a SLAC NATIONAL ACCELERATOR LABORATORY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Monte Carlo; proton therapy; simulation; treatment head

Indexed keywords

CLINICAL RESEARCH; COMPUTERIZED TOMOGRAPHY; GEOMETRY; MEDICAL IMAGING; MONTE CARLO METHODS; PASSIVE FILTERS; PHASE SPACE METHODS; PROTON BEAMS; USER EXPERIENCE;

CLINICAL APPLICATION; DOSE DISTRIBUTIONS; MONTE CARLO PARTICLE TRANSPORTS; PARTICLE SIMULATIONS; PROTON THERAPY; SIMULATION; TREATMENT HEAD; USER-FRIENDLY TOOL;

PROTON BEAM THERAPY;

EID: 84868534543     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4758060     Document Type: Article

References (53)

1. H. Paganetti, Range uncertainties in proton therapy and the role of Monte Carlo simulations., Phys. Med. Biol. 57, R99-R117 (2012). 10.1088/0031-9155/57/ 11/R99
2. M. Fippel and M. Soukup, A Monte Carlo dose calculation algorithm for proton therapy., Med. Phys. 31, 2263-2273 (2004). 10.1118/1.1769631
3. L. Waters, MCNPX users manual., Los Alamos National Laboratory, 2002.
4. A. Ferrari, P. R. Sala, A. Fasso, and J. Ranft, FLUKA: A multi-particle transport code., CERN Yellow Report No. CERN 2005-10; INFNTC 0511, SLAC-R-773 (CERN, Geneva, 2005).
5. S. Agostinelli, J. Allison, K. Amako, J. Apostolakis, H. Araujo, P. Arce, M. Asai, D. Axen, S. Banerjee, G. Barrand, F. Behner, L. Bellagamba, J. Boudreau, L. Broglia, A. Brunengo, H. Burkhardt, S. Chauvie, J. Chuma, R. Chytracek, G. Cooperman, G. Cosmo, P. Degtyarenko, A. Dell'Acqua, G. Depaola, D. Dietrich, R. Enami, A. Feliciello, C. Ferguson, H. Fesefeldt, G. Folger, F. Foppiano, A. Forti, S. Garelli, S. Giani, R. Giannitrapani, D. Gibin, J. J. Gomez Cadenas, I. Gonzalez, G. Gracia Abril, G. Greeniaus, W. Greiner, V. Grichine, A. Grossheim, S. Guatelli, P. Gumplinger, R. Hamatsu, K. Hashimoto, H. Hasui, A. Heikkinen, A. Howard, V. Ivanchenko, A. Johnson, F. W. Jones, J. Kallenbach, N. Kanaya, M. Kawabata, Y. Kawabata, M. Kawaguti, S. Kelner, P. Kent, A. Kimura, T. Kodama, R. Kokoulin, M. Kossov, H. Kurashige, E. Lamanna, T. Lampen, V. Lara, V. Lefebure, F. Lei, M. Liendl, W. Lockman, F. Longo, S. Magni, M. Maire, E. Medernach, K. Minamimoto, P. Mora de Freitas, Y. Morita, K. Murakami, M. Nagamatu, R. Nartallo, P. Nieminen, T. Nishimura, K. Ohtsubo, M. Okamura, S. O'Neale, Y. Oohata, K. Paech, J. Perl, A. Pfeiffer, M. G. Pia, F. Ranjard, A. Rybin, S. Sadilov, E. Di Salvo, G. Santin, T. Sasaki, N. Savvas, Y. Sawada, S. Scherer, S. Sei, V. Sirotenko, D. Smith, N. Starkov, H. Stoecker, J. Sulkimo, M. Takahata, S. Tanaka, E. Tcherniaev, E. Safai Tehrani, M. Tropeano, P. Truscott, H. Uno, L. Urban, P. Urban, M. Verderi, A. Walkden, W. Wander, H. Weber, J. P. Wellisch, T. Wenaus, D. C. Williams, D. Wright, T. Yamada, H. Yoshida, and D. Zschiesche, Geant4: A simulation toolkit., Nucl. Instrum. Methods Phys. Res. A 506, 250-303 (2003). 10.1016/S0168-9002(03)01368-8
6. J. Allison, K. Amako, J. Apostolakis, H. Araujo, P. Arce Dubois, M. Asai, G. Barrand, R. Capra, S. Chauvie, R. Chytracek, G. A. P. Cirrone, G. Cooperman, G. Cosmo, G. Cuttone, G. G. Daquino, M. Donszelmann, M. Dressel, G. Folger, F. Foppiano, J. Generowicz, V. Grichine, S. Guatelli, P. Gumplinger, A. Heikkinen, I. Hrivnacova, A. Howard, S. Incerti, V. Ivanchenko, T. Johnson, F. Jones, T. Koi, R. Kokoulin, M. Kossov, H. Kurashige, V. Lara, S. Larsson, F. Lei, O. Link, F. Longo, M. Maire, A. Mantero, B. Mascialino, I. McLaren, P. Mendez Lorenzo, K. Minamimoto, K. Murakami, P. Nieminen, L. Pandola, S. Parlati, L. Peralta, J. Perl, A. Pfeiffer, M. G. Pia, A. Ribon, P. Rodrigues, G. Russo, S. Sadilov, G. Santin, T. Sasaki, D. Smith, N. Starkov, S. Tanaka, E. Tcherniaev, B. Tomé, A. Trindade, P. Truscott, L. Urban, M. Verderi, A. Walkden, J. P. Wellisch, D. C. Williams, D. Wright, and H. Yoshida, Geant4: Developments and Applications., IEEE Trans. Nucl. Sci. 53, 270-278 (2006). 10.1109/TNS.2006. 869826
7. R. Gotta, Monte Carlo simulation with Geant4 of a 3D dosimeter for therapeutical proton beams., MS thesis, University of Torino, 1999.
8. 2, Med. Phys. 30, 1926-1931 (2003). 10.1118/1.1586454
9. D. W. O. Rogers, B. A. Faddegon, G. X. Ding, C.-M. Ma, J. Wei, and T. R. Mackie, BEAM: A Monte Carlo code to simulate radiotherapy treatment units., Med. Phys. 22, 503-524 (1995). 10.1118/1.597552
10. I. Kawrakow, Accurate condensed history Monte Carlo simulation of electron transport: I. EGSnrc, the new EGS4 version., Med. Phys. 27, 485-498 (2000). 10.1118/1.598917
11. OPERA-3D Reference Manual., Vector Fields Limited, Oxford, England, 2004.
12. J. Schümann, H. Paganetti, J. Shin, B. Faddegon, and J. Perl, Efficient voxel navigation for proton therapy dose calculation in TOPAS and Geant4., Phys. Med. Biol. 57, 3281-3293 (2012). 10.1088/0031-9155/57/11/3281
13. K. L. Brown and R. V. Servranckx, First- and second-order charged particle optics., SLAC Report No. SLAC-PUB-3381 (Stanford Linear Accelerator Center, Menlo Park, California, 1984).
14. International Atomic Energy Agency, Phase-space database for external beam radiotherapy., IAEA Technical Report No. INDC (NDS)-0484 (IAEA, Vienna, Austria, 2006).
15. C. Zacharatou Jarlskog and H. Paganetti, Physics settings for using the Geant4 toolkit in proton therapy., IEEE Trans. Nucl. Sci. 55, 1018-1025 (2008). 10.1109/TNS.2008.922816
16. L. Urban, Multiple scattering model in Geant4., CERN Report No. CERN-OPEN-2002-070 (CERN, Geneva, 2002).
17. H. W. Lewis, Multiple scattering in an infinite medium., Phys. Rev. 78, 526-529 (1950). 10.1103/PhysRev.78.526
18. B. A. Faddegon, I. Kawrakow, Y. Kubyshin, J. Perl, J. Sempau, and L. Urban, The accuracy of EGSnrc, Geant4 and PENELOPE Monte Carlo systems for the simulation of electron scatter in external beam radiotherapy., Phys. Med. Biol. 54, 6151-6163 (2009). 10.1088/0031-9155/54/20/008
19. J. F. Janni, Proton range energy tables, 1 keV-10 GeV., At. Data Nucl. Data Tables 27, 147-529 (1982). 10.1016/0092-640X(82)90004-3
20. H. Bichsel and T. Hiraoka, Energy loss of 70 MeV protons in elements., Nucl. Instrum. Methods Phys. Res. B 66, 345-351 (1992). 10.1016/0168-583X(92) 95995-4
21. ICRU, Stopping powers and ranges for protons and alpha particles., ICRU Report No. 49 (International Commission on Radiation Units and Measurements, Bethesda, MD, 1993).
22. Y. Kumazaki, T. Akagi, T. Yanou, D. Suga, Y. Hishikawa, and T. Teshima, Determination of the mean excitation energy of water from proton beam ranges., Radiat. Meas. 42, 1683-1691 (2007). 10.1016/j.radmeas.2007.10.019
23. P. Andreo, On the clinical spatial resolution achievable with protons and heavier charged particle radiotherapy beams., Phys. Med. Biol. 54, N205-N215 (2009). 10.1088/0031-9155/54/11/N01
24. J. Herault, N. Iborra, B. Serrano, and P. Chauvel, Monte Carlo simulation of a proton therapy platform devoted to ocular melanoma., Med. Phys. 32, 910-919 (2005). 10.1118/1.1871392
25. A. Stankovskiy, S. Kerhoas-Cavata, R. Ferrand, C. Nauraye, and L. Demarzi, Monte Carlo modelling of the treatment line of the Proton Therapy Center in Orsay., Phys. Med. Biol. 54, 2377-2394 (2009). 10.1088/0031-9155/54/8/ 008
26. C. Grassberger, A. Trofimov, A. Lomax, and H. Paganetti, Variations in linear energy transfer within clinical proton therapy fields and the potential for biological treatment planning., Int. J. Radiat. Oncol. Biol. Phys. 80, 1559-1566 (2011). 10.1016/j.ijrobp.2010.10.027
27. C. Grassberger and H. Paganetti, Elevated LET components in clinical proton beams., Phys. Med. Biol. 56, 6677-6691 (2011). 10.1088/0031-9155/56/20/ 011
28. G. Barrand, T. Johnson, and A. Pfeiffer, AIDA abstract interfaces for data analysis., 2001 [available URL: http://aida.freehep.org/.
29. R. Brun and F. Rademakers, ROOT: An object oriented data analysis framework., Nucl. Instrum. Methods. 389, 81-86 (1996). 10.1016/S0168-9002(97) 00048-X
30. F. Sommerer, F. Cerutti, K. Parodi, A. Ferrari, W. Enghardt, and H. Aiginger, In-beam PET monitoring of mono-energetic (16)O and (12)C beams: Experiments and FLUKA simulations for homogeneous targets., Phys. Med. Biol. 54, 3979-3996 (2009). 10.1088/0031-9155/54/13/003
31. J. C. Polf, S. Peterson, M. McCleskey, B. T. Roeder, A. Spiridon, S. Beddar, and L. Trache, Measurement and calculation of characteristic prompt gamma ray spectra emitted during proton irradiation., Phys. Med. Biol. 54, N519-N527 (2009). 10.1088/0031-9155/54/22/N02
32. M. Moteabbed, S. Espana, and H. Paganetti, Monte Carlo patient study on the comparison of prompt gamma and PET imaging for range verification in proton therapy., Phys. Med. Biol. 56, 1063-1082 (2011). 10.1088/0031-9155/56/4/012
33. T. Li, Z. Liang, J. V. Singanallur, T. J. Satogata, D. C. Williams, and R. W. Schulte, Reconstruction for proton computed tomography by tracing proton trajectories: A Monte Carlo study., Med. Phys. 33, 699-706 (2006). 10.1118/1.2171507
34. C. Z. Jarlskog and H. Paganetti, Sensitivity of different dose scoring methods on organ specific neutron doses calculations in proton therapy., Phys. Med. Biol. 53, 4523-4532 (2008). 10.1088/0031-9155/53/17/004
35. J. Allison, M. Asai, G. Barrand, M. Donszelmann, K. Minamimoto, J. Perl, S. Tanaka, E. Tcherniaev, and J. Tinslay, The Geant4 visualisation system., Comput. Phys. Commun. 178, 331-365 (2008). 10.1016/j.cpc.2007.09.010
36. J. Perl, HepRApp: The original HepRep data browsing application., 2007 [available URL: http://www.slac.stanford.edu/~perl/HepRApp.
37. A. Saitoh, A. Kimura, S. Tanaka, and T. Sasaki, gMocren: High-quality volume visualization tool for Geant4 simulation., Nuclear Science Symposium Conference Record, NSS 07 (IEEE, Honolulu, Hawaii, 2007), Vol. 1, pp. 888-891.
38. T. Aso, T. Yamashita, T. Akagi, S. Kameoka, T. Nishio, K. Murakami, C. Omachi, T. Ssasaki, K. Amako, A. Kimura, H. Yoshida, H. Kurashige, and M. Kaburagi, Validation of PTSIM for clinical usage., in Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSSMIC), Knoxville, Tennessee, 2010 (IEEE, New York, New York, 2010), pp. 158-160.
39. T. Aso, A. Kimura, S. Tanaka, H. Yoshida, N. Kanematsu, T. Sasaki, and T. Akagi, Verification of the dose distributions with GEANT4 simulation for proton therapy., IEEE Trans. Nucl. Sci. 52, 896-901 (2005). 10.1109/TNS.2005.852697
40. J. Shin, J. Perl, J. Schümann, H. Paganetti, and B. Faddegon, A consistent, modular framework to handle multiple time-dependent quantities in Monte Carlo simulations as implemented in TOPAS., Phys. Med. Biol. 57, 3295-3308 (2012). 10.1088/0031-9155/57/11/3295
41. H. M. Lu and H. Kooy, Optimization of current modulation function for proton spread-out Bragg peak fields., Med. Phys. 33, 1281-1287 (2006). 10.1118/1.2188072
42. H. Paganetti, H. Jiang, S.-Y. Lee, and H. Kooy, Accurate Monte Carlo for nozzle design, commissioning, and quality assurance in proton therapy., Med. Phys. 31, 2107-2118 (2004). 10.1118/1.1762792
43. H. Paganetti, H. Jiang, K. Parodi, R. Slopsema, and M. Engelsman, Clinical implementation of full Monte Carlo dose calculation in proton beam therapy., Phys. Med. Biol. 53, 4825-4853 (2008). 10.1088/0031-9155/53/17/023
44. B. Clasie, A. Wroe, H. Kooy, N. Depauw, J. Flanz, H. Paganetti, and A. Rosenfeld, Assessment of out-of-field absorbed dose and equivalent dose in proton fields., Med. Phys. 37, 311-321 (2010). 10.1118/1.3271390
45. B. Gottschalk, R. Platais, and H. Paganetti, Nuclear interactions of 160 MeV protons stopping in copper: A test of Monte Carlo nuclear models., Med. Phys. 26, 2597-2601 (1999). 10.1118/1.598799
46. H. Paganetti, Monte Carlo calculations for absolute dosimetry to determine output factors for proton therapy treatments., Phys. Med. Biol. 51, 2801-2812 (2006). 10.1088/0031-9155/51/11/008
47. S. W. Peterson, J. Polf, M. Bues, G. Ciangaru, L. Archambault, S. Beddar, and A. Smith, Experimental validation of a Monte Carlo proton therapy nozzle model incorporating magnetically steered protons., Phys. Med. Biol. 54, 3217-3229 (2009). 10.1088/0031-9155/54/10/017
48. I. K. Daftari, T. R. Renner, L. J. Verhey, R. P. Singh, M. Nyman, P. L. Petti, and J. R. Castro, New UCSF proton ocular beam facility at the Crocker Nuclear Laboratory Cyclotron (UC Davis)., Nucl. Instrum. Methods Phys. Res. A 380, 597-612 (1996). 10.1016/0168-9002(96)00707-3
49. W. T. Chu, B. A. Ludewig, and T. R. Renner, Instrumentation for treatment of cancer using proton and light-ion beams., Rev. Sci. Instrum. 64, 2055-2122 (1993). 10.1063/1.1143946
50. J. Daartz, M. Engelsman, H. Paganetti, and M. R. Bussiere, Field size dependence of the output factor in passively scattered proton therapy: Influence of range, modulation, air gap, and machine settings., Med. Phys. 36, 3205-3210 (2009). 10.1118/1.3152111
51. B. Bednarz, H. M. Lu, M. Engelsman, and H. Paganetti, Uncertainties and correction methods when modeling passive scattering proton therapy treatment heads with Monte Carlo., Phys. Med. Biol. 56, 2837-2854 (2011). 10.1088/0031-9155/56/9/013
52. H. M. Kooy, B. M. Clasie, H. M. Lu, T. M. Madden, H. Bentefour, N. Depauw, J. A. Adams, A. V. Trofimov, D. Demaret, T. F. Delaney, and J. B. Flanz, A case study in proton pencil-beam scanning delivery., Int. J. Radiat. Oncol., Biol., Phys. 76, 624-630 (2010). 10.1016/j.ijrobp.2009.06.065
53. L. Hong, M. Goitein, M. Bucciolini, R. Comiskey, B. Gottschalk, S. Rosenthal, C. Serago, and M. Urie, A pencil beam algorithm for proton dose calculations., Phys. Med. Biol. 41, 1305-1330 (1996). 10.1088/0031-9155/41/8/005