International Journal of Radiation Oncology * Biology * Physics
Volume 54, Issue 5 , Pages 1565-1574 , 1 December 2002

Incorporating prior knowledge into beam orientaton optimization in IMRT

  • Andrei Pugachev, M.S.

      Affiliations

    • Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
  • ,
  • Lei Xing, Ph.D.

      Affiliations

    • Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
    • Corresponding Author InformationReprint requests to: Lei Xing, Ph.D., Stanford University School of Medicine, Department of Radiation Oncology, 300 Pasteur Drive, Stanford, CA 94305-5304, USA Tel: (650) 498 7896; Fax: (650) 498 4015

Received 7 May 2002 ,Revised 8 August 2002 ,Accepted 12 August 2002.

References 

  1. Pugachev A, Li JG, Boyer AL, et al.  Role of beam orientation optimization in intensity-modulated radiation therapy. Int J Radiat Oncol Biol Phys. 2001;50:551–560
  2. Pugachev A, Xing L. Pseudo beam’s-eye-view as applied to beam orientation selection in intensity-modulated radiation therapy. Int J Radiat Oncol Biol Phys. 2001;51:1361–1370
  3. Stein J, Mohan R, Wang XH, et al.  Number and orientations of beams in intensity-modulated radiation treatments. Med Phys. 1997;24:149–160
  4. Bortfeld T, Schlegel W. Optimization of beam orientations in radiation therapy (Some theoretical considerations). Phys Med Biol. 1993;38:291–304
  5. Rowbottom CG, Oldham M, Webb S. Constrained customization of non-coplanar beam orientations in radiotherapy of brain tumours. Phys Med Biol. 1999;44:383–399
  6. Sailer SL, Rosenman JG, Symon JR, Cullip TJ, Chaney EL. The tetrad and hexad—maximum beam separation as a starting point for noncoplanar 3d treatment planning—prostate cancer as a test case. Int J Radiat Oncol Biol Phys. 1994;30:439–446
  7. Sherouse GW. A mathematical basis for selection of wedge angle and orientation. Med Phys. 1993;20:1211–1218
  8. Soderstrom S, Brahme A. Which is the most suitable number of photon beam portals in coplanar radiation therapy?. Int J Radiat Oncol Biol Phys. 1995;33:151–159
  9. Pugachev A, Xing L. Computer assisted beam orientation selection in IMRT. Phys Med Biol. 2001;46:2467–2476
  10. Soderstrom S, Brahme A. Selection of suitable beam orientations in radiation therapy using entropy and Fourier transform measures. Phys Med Biol. 1992;37:911–924
  11. Pugachev A, Xing L. Computer assisted selection of beam energy and orientations in IMRT. Int J Radiat Oncol Biol Phys. 2001;51:74
  12. Chen GT, Spelbring DR, Pelizzari CA, et al.  The use of beam’s eye view volumetrics in the selection of non-coplanar radiation portals. Int J Radiat Oncol Biol Phys. 1992;23:153–163
  13. Myrianthopoulos LC, Chen GT, Vijayakumar S, Halpern HJ, Spelbring DR, Pelizzari CA. Beam’s eye view volumetrics (An aid in rapid treatment plan development and evaluation). Int J Radiat Oncol Biol Phys. 1992;23:367–375
  14. McShan DL, Fraass BA, Lichter AS. Full integration of the beam’s eye view concept into computerized treatment planning. Int J Radiat Oncol Biol Phys. 1990;18:1485–1494
  15. McShan DL, Kessler ML, Fraass BA. Advanced interactive planning techniques for conformal therapy (High level beam descriptions and volumetric mapping techniques). Int J Radiat Oncol Biol Phys. 1995;33:1061–1072
  16. Meyer J, Mills JA, Haas OC, Burnham KJ, Parvin EM. Accommodation of couch constraints for coplanar intensity modulated radiation therapy. Radiother Oncol. 2001;61:23–32
  17. Webb S. Optimisation of conformal radiotherapy dose distributions by simulated annealing. Phys Med Biol. 1989;34:1349–1370
  18. Rosen II, Lam KS, Lane RG, Langer M, Morrill SM. Comparison of simulated annealing algorithms for conformal therapy treatment planning. Int J Radiat Oncol Biol Phys. 1995;33:1091–1099
  19. Winkler G. Image analysis, random field and dynamic Monte Carlo methods. Berlin: Springer-Verlag; 1995;
  20. Li J, Boyer A, Xing L. Clinical implementation of wedge filter optimization in 3D radiotherapy treatment planning. Radiother Oncol. 1999;53:257–264
  21. Xing L, Chen GTY. Iterative algorithms for inverse treatment planning. Phys Med Biol. 1996;41:2107–2123
  22. Xing L, Hamilton RJ, Spelbring D, Pelizzari CA, Chen GT, Boyer AL. Fast iterative algorithms for three-dimensional inverse treatment planning. Med Phys. 1998;25:1845–1849
  23. Wu Q, Mohan R. Algorithms and functionality of an intensity modulated radiotherapy optimization system. Med Phys. 2000;27:701–711
  24. Olivera GH, Shepard DM, Reckwerdt PJ, et al.  Maximum likelihood as a common computational framework in tomotherapy. Phys Med Biol. 1998;43:3277–3294
  25. Rosen II, Lane RG, Morrill SM, Belli JA. Treatment plan optimization using linear programming. Med Phys. 1991;18:141–152
  26. Cho PS, Lee S, Marks RJ, Oh S, Sutlief SG, Phillips MH. Optimization of intensity modulated beams with volume constraints using two methods (Cost function minimization and projections onto convex sets). Med Phys. 1998;25:435–443
  27. Mohan R, Wang X, Jackson A, et al.  The potential and limitations of the inverse radiotherapy technique. Radiother Oncol. 1994;32:232–248
  28. Xing L, Li JG, Donaldson S, Le QT, Boyer AL. Optimization of importance factors in inverse planning. Phys Med Biol. 1999;44:2525–2536
  29. Xing L, Li JG, Pugachev A, Le QT, Boyer AL. Estimation theory and model parameter selection for therapeutic treatment plan optimization. Med Phys. 1999;26:2348–2358
  30. Cotrutz C, Lahanas M, Kappas C, Baltas D. A multiobjective gradient-based dose optimization algorithm for external beam conformal radiotherapy. Phys Med Biol. 2001;46:2161–2175
  31. Gopal R, Starkschall G. Plan space (Representation of treatment plans in multidimensional space). Med Phys. 2001;28:1227
  32. Kirkpatrick S, Gelatt CDJ, Vecchi MP. Optimization by simulated annealing. Science. 1983;220:671–680
  33. Press WP, Saul A, Teukolsky SA, Vetterling WA, Flannery BP. Numerical Recipes in C. Cambridge: Cambridge University Press; 1993;
  34. Rowbottom CG, Nutting CM, Webb S. Beam-orientation optimization of intensity-modulated radiotherapy (Clinical application to parotid gland tumours). Radiother Oncol. 2001;59:169–177
  35. Haas OC, Burnham KJ, Mills JA. Optimization of beam orientation in radiotherapy using planar geometry. Phys Med Biol. 1998;43:2179–2193
  36. Deasy JO. Multiple local minima in radiotherapy optimization problems with dose-volume constraints. Med Phys. 1997;24:1157–1161
  37. Llacer J, Deasy J. Multiple extrema in inverse radiation therapy planning. Phys Med Biol. 2002; submitted
  38. Winkler RL. An introduction to Bayesian inference and decision. New York: Holt, Rinehart & Winston, Inc; 1972;

 This work was supported in part by a research scholar grant award from the American Cancer Society and research grants from the U.S. Department of Defense, the Whitaker Foundation, and the Information Technology Systems and Services of Stanford University.

PII: S0360-3016(02)03917-2

doi: 10.1016/S0360-3016(02)03917-2

International Journal of Radiation Oncology * Biology * Physics
Volume 54, Issue 5 , Pages 1565-1574 , 1 December 2002