Monte Carlo Neutron Photon Treatment Planning Calculations
Routine treatment planning using the Monte Carlo technique is becoming ever more possible with the development of increasingly powerful computational hardware. This is applicable not just within the field of Boron Neutron Capture Therapy, but in radiation therapy in general. In the clinical situation, treatment plans must take into account, amongst other factors, the individual patient geometry. This is typically done by incorporating patient CT or MRI information and using surface reconstruction techniques or with small rectilinear volume elements termed “voxels”. The voxel based method typically suffers from being inherently computationally intensive, however this problem may be overcome by introducing a variable voxel size. Regions of interest may be specified where higher resolution anatomical structure and dose calculations can be achieved. Surrounding regions may be modelled with lesser resolution, thereby reducing the overall computational effort required. Applying the Los Alamos Monte Carlo code MCNP, version 3a, with the use of supercomputing hardware enables calculations to be performed in under 10hrs to a resolution of a few millimetres and statistical accuracy of less than 5%. Results are presented for human head and whole body phantoms with incident neutron spectrum and collimator geometry being that of the JRC/ECN Petten epithermal neutron beam.
KeywordsDose Distribution Liver Region Head Model Boron Neutron Capture Therapy Neutron Dose
Unable to display preview. Download preview PDF.
- 1.T. R. Mackie, S. S. Kubsad, D. W. O. Rogers, and A. F. Bielajew, The omega project: electron dose planning using Monte Carlo simulation, Med.Phys. 17: 732, 1990 (abstract).Google Scholar
- 2.F. J. Wheeler, and D. W. Nigg, Three-dimensional radiation dose distribution analysis for boron neutron capture therapy, Nucl. Sci. Eng. 110:16–31, 1992.Google Scholar
- 3.L. E. Reinstein, E. B. Ramsay, J. Gajewski, S. Ramamoorthy, and A. G. Meek, SBNCT-PLAN: A 3-dimensional treatment planning system for boron neutron capture therapy, in; “Advances in Neutron Capture Therapy,” R. Barth, A. Soloway, eds., Plenum Press. New York, 1993, pp. 171–175.Google Scholar
- 4.R. Zamenhof, J. Brenner, J. Yanch, D. Wazer, H. Madoc-Jones, S. Saris, O. Harling, Treatment planning for neutron capture therapy of glioblastoma multiforme using epithermal neutron beam from the MITR-I1 research reactor and Monte Carlo simulation, in; “Progress in Neutron Capture Therapy for Cancer,” B. J. Allen, D. E. Moore, B. V. Harrington, eds., Plenum Press, New York, 1992, pp. 173–177.Google Scholar
- 5.D. W. Nigg, Methods for treatment planning in BNCT, Int. J. Radiation Oncology Biol. Phys., 28, 5: 11211 134, 1994.Google Scholar
- 6.J. F. Briesmeister, ed. “MCNP-Ageneral Monte Carlo code for neutron and photon transport, Version 3A”. Report Number LA-7396-M, Revision 2. Los Alamos, NM: Los Alamos National Laboratory; 1986.Google Scholar
- 7.ICRU Report 46: “Electron, Photon and Neutron Interaction Data with Body Tissues,” International Commission on Radiation Units and Measurements, Bethesda MD; 1992.Google Scholar
- 8.R. G. Zamenhof, S. D. Clement, O. K. Harling, J. F. Brenner, D. E. Wazer, H. Madoc-Jones, and J. C. Yanch, Monte Carlo based dosimetry and treatment planning for neutron capture therapy of brain tumours, in; “Neutron Beam Design, Development and Performance for Neutron Capture Therapy,” O. K. Harling, J. A. Bernard and R. G. Zamenhof, eds.,Plenum Press, New York, 1990.Google Scholar
- 9.L. J. Goodman, Health Phys. 24: 71, 1969.Google Scholar
- 10.P. Watkins, Design of the epithermal neutron beam at the HFR Petten using the code MCNP, in; “Clinct BNCT Workshop Helsinki,” H. Auterinen and M. Kallio, eds., TKK-F-A718, 1994. 302 S. A. Wallace et al.Google Scholar
- 11.P. Watkins, Y. Harker, C. Amaro, W. Voorbrak, F. Stecher-Rasmussen, H. Verhagen, C. Perks, H. Delafield, G. Constantine and R. L. Moss, Nuclear characterisation of the HFR Petten BNCT facility, in; ‘Advances in Neutron Capture Therapy, “R. Barth, A .Soloway, eds., Plenum Press, New York, 1993, pp. 59–65. Google Scholar