DocumentCode
2316401
Title
Hybrid optimisation technique for radiotherapy treatment planning
Author
Haas, O.C.L. ; Burnham, K.J. ; Mills, J.A.
Author_Institution
Control Theory & Applications Group, Coventry Polytech., UK
Volume
1
fYear
1998
fDate
1-4 Sep 1998
Firstpage
368
Abstract
Presents an optimisation strategy, based on a hybrid multi-objective genetic algorithm, to automate the planning of traditional radiotherapy treatment. The optimisation algorithm is formulated around the concept of Pareto optimality to exploit a population based search procedure thereby considering each of the objectives independently. It explores the solutions belonging to the Pareto optimal set prior to concentrating on the best regions of the search space. Once the Pareto optimal set has been determined, a posteriori articulation of the objectives is used to provide the clinicians with a few alternative solutions, all of them non-dominated and therefore mathematically optimal, leaving the final decision to the clinicians
Keywords
genetic algorithms; medical computing; radiation therapy; search problems; Pareto optimal set; Pareto optimality; hybrid multi-objective genetic algorithm; hybrid optimisation technique; population based search procedure; radiotherapy treatment planning; Biomedical engineering; Control theory; Genetic algorithms; Hospitals; Intensity modulation; Medical treatment; Optical modulation; Pareto optimization; Physics; Strategic planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Trieste
Print_ISBN
0-7803-4104-X
Type
conf
DOI
10.1109/CCA.1998.728450
Filename
728450
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