PARETO: A novel evolutionary optimization approach to multiobjective IMRT planning

Medical Physics

Volumn 38, Issue 9, 2011, Pages 5217-5229

  Fiege, Jason ^a   McCurdy, Boyd ^a,b   Potrebko, Peter ^c   Champion, Heather ^a,b   Cull, Andrew ^a,b  

^a UNIVERSITY OF MANITOBA   (Canada)

^b CANCERCARE MANITOBA   (Canada)

^c HEALTH SCIENCES CENTRE   (Canada)

Author keywords

beam orientation optimization; IMRT; multiobjective optimization; pareto

Indexed keywords

COMPUTERIZED TOMOGRAPHY; ECONOMIC AND SOCIAL EFFECTS; GENETIC ALGORITHMS; ITERATIVE METHODS; PHANTOMS; RADIOTHERAPY;

BEAM ORIENTATION OPTIMIZATION; IMRT; INTENSITY-MODULATED RADIATION THERAPY; MULTI-OBJECTIVE GENETIC ALGORITHM; OVERALL PROCESS EFFICIENCIES; PARETO; RADIATION THERAPY TREATMENT PLANNING; TREATMENT PLANNING SYSTEMS;

MULTIOBJECTIVE OPTIMIZATION;

PERU TOMATO MOSAIC VIRUS;

EID: 80052411244     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3615622     Document Type: Article

References (35)

1. Memorial Sloan Kettering Cancer Center, A Practical Guide to Intensity-Modulated Radiation Therapy (Medical Physics Publishing, Madison WI, 2003).
2. J. VanDyk, Modern Technology of Radiation Oncology (Medical Physics Pubishing, Madison WI, 2005) Vol. 2.
3. K. Deb, Multi-Objective Optimization Using Evolutionary Algorithms (John Wiley Sons, Chichester, England ISBN-10:047187339X, ISBN-13: 97804718 73396, 2001).
4. J. O. Deasy, Multiple local minima in radiotherapy optimization problems with dose-volume constraints., Med. Phys. 24 (7), 1157-1161 (1997). 10.1118/1.598017
5. A. B. Pugachev, A. L. Boyer, and L. Xing, Beam orientation optimization in intensity-modulated radiation treatment planning., Med. Phys. 27 (6), 1238-1245 (2000). 10.1118/1.599001
6. J. D. Fiege, Qubist User's Guide: Optimization, Data-Modeling, and Visualization with the Qubist Global Optimization Toolbox for MATLAB (nQube Technical Computing Corp., Winnipeg, 2010).
7. J. F. Aubry, Multiobjective optimization with a modified simulated annealing algorithm for external beam radiotherapy treatment planning., Med. Phys. 33 (12), 4718-4129 (2006). 10.1118/1.2390550
8. S. Breedveld, A novel approach to multi-criteria inverse planning for IMRT., Phys. Med. Biol. 52 (20), 6339-6353 (2007). 10.1088/0031-9155/52/20/016
9. C. Cotrutz, A multiobjective gradient-based dose optimization algorithm for external beam conformal radiotherapy., Phys. Med. Biol. 46 (8), 2161-2175 (2001). 10.1088/0031-9155/46/8/309
10. D. Craft and T. Bortfeld, How many plans are needed in an IMRT multi-objective plan database?, Phys. Med. Biol. 53 (11), 2785-2796 (2008). 10.1088/0031-9155/53/11/002
11. D. Craft, T. Halabi, and T. Bortfeld, Exploration of tradeoffs in intensity-modulated radiotherapy., Phys. Med. Biol. 50 (24), 5857-5868 (2005). 10.1088/0031-9155/50/24/007
12. D. Craft, An approach for practical multiobjective IMRT treatment planning., Int. J. Radiat. Oncol. Biol. Phys. 69 (5), 1600-1607 (2007). 10.1016/j.ijrobp.2007.08.019
13. D. Craft and M. Monz, Simultaneous navigation of multiple Pareto surfaces, with an application to multicriteria IMRT planning with multiple beam angle configurations., Med. Phys. 37 (2), 736-741 (2010). 10.1118/1.3292636
14. S. K. Das, A method to dynamically balance intensity modulated radiotherapy dose between organs-at-risk., Med. Phys. 36 (5), 1744-1752 (2009). 10.1118/1.3104067
15. J. D. Fenwick and J. Pardo-Montero, Homogenized blocked arcs for multicriteria optimization of radiotherapy: analytical and numerical solutions., Med. Phys. 37 (5), 2194-2206 (2010). 10.1118/1.3377771
16. A. L. Hoffmann, Derivative-free generation and interpolation of convex Pareto optimal IMRT plans., Phys. Med. Biol. 51 (24), 6349-6369 (2006). 10.1088/0031-9155/51/24/005
17. T. S. Hong, Multicriteria optimization in intensity-modulated radiation therapy treatment planning for locally advanced cancer of the pancreatic head., Int. J. Radiat. Oncol. Biol. Phys. 72 (4), 1208-1214 (2008). 10.1016/j.ijrobp.2008.07.061
18. M. Monz, Pareto navigation: algorithmic foundation of interactive multi-criteria IMRT planning., Phys. Med. Biol. 53 (4), 985-998 (2008). 10.1088/0031-9155/53/4/011
19. J. Pardo-Montero and J. D. Fenwick, An approach to multiobjective optimization of rotational therapy., Med. Phys. 36 (7), 3292-3303 (2009). 10.1118/1.3151806
20. E. Schreibmann, Multiobjective evolutionary optimization of the number of beams, their orientations and weights for intensity-modulated radiation therapy., Phys. Med. Biol. 49 (5), 747-770 (2004). 10.1088/0031-9155/49/5/007
21. E. Schreibmann and L. Xing, Feasibility study of beam orientation class-solutions for prostate IMRT., Med. Phys. 31 (10), 2863-2870 (2004). 10.1118/1.1797571
22. T. Spalke, D. Craft, and T. Bortfeld, Analyzing the main trade-offs in multiobjective radiation therapy treatment planning databases., Phys. Med. Biol. 54 (12), 3741-3754 (2009). 10.1088/0031-9155/54/12/009
23. C. Thieke, A new concept for interactive radiotherapy planning with multicriteria optimization: first clinical evaluation., Radiother. Oncol. 85 (2), 292-298 (2007). 10.1016/j.radonc.2007.06.020
24. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning (Addison-Wesley, Toronto, 1989).
25. D. E. Goldberg, The Design of Innovation (Kluwer Academic Publishers, Boston, 2002).
26. C. M. Fonseca, Genetic algorithms for multiple objective optimization: Formulation, discussion and generalization., in ICGA5 1993, Proceedings of the Fifth International Conference on Genetic Algorithms, edited by, S. Forrest, (Morgan Kaufmann, Urbana-Champaign, IL, 1993) pp. 416-423.
27. J. D. Fiege, A Genetic algorithm-based exploration of three filament models: A case for the magnetic support of the G11.11-0.12 infrared-dark cloud., Astrophys. J. 616, 925-942 (2004). 10.1086/424956
28. J. D. Fiege, Computational intelligence techniques for submillimetre polarization modeling., in ASP Conf. Ser. 343, Astronomical Polarimetry: Current Status and Future Directions, edited by, A. J. Adamson, (ASP, San Francisco, 2005) pp. 171-175.
29. A. Baran, Foreground detection with the DRAO synthesis telescope: Methods and models to measure the polarized cosmic microwave background., M.Sc. thesis, University of Manitoba, 2010.
30. A. Rogers and J. D. Fiege, Gravitational lens modeling with genetic algorithms and particle swarm optimizers., Astrophys. J., 727, 80 (2011). 10.1118/1.2775685
31. P. S. Potrebko, A simple geometric algorithm to predict optimal starting gantry angles using equiangular-spaced beams for intensity modulated radiation therapy of prostate cancer., Med. Phys. 34 (10), 3951-3961 (2007). 10.1118/1.2775685
32. A. Ahnesjo, Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media., Med. Phys. 16 (4), 577-592 (1989). 10.1118/1.596360
33. A. Niemierko, Reporting and analyzing dose distributions: a concept of equivalent uniform dose., Med. Phys. 24 (1), 103-110 (1997). 10.1118/1.598063
34. T. Knoos, I. Kristensen, and P. Nilsson, Volumetric and dosimetric evaluation of radiation treatment plans: radiation conformity index., Int. J. Radiat. Oncol., Biol., Phys. 42 (5), 1169-1176 (1998). 10.1016/S0360-3016(98) 00239-9
35. J. Stein, Number and orientations of beams in intensity-modulated radiation treatments., Med. Phys. 24 (2), 149-160 (1997). 10.1118/1.597923