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
Link To Document :
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