Genetic Algorithm Applied to Radiotherapy Treatment Planning

Olivier C.L. Haas, Keith J. Burnham, M.H. Fisher, John A. Mills

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

Abstract

Conformal therapy attempts to produce accurate medical treatment that will produce a uniform dose over cancerous regions whilst at the same time sparing healthy tissues, especially the organs at risk. The constrained optimisation problem, that consists of working back from a given dose specification to elemental beam weight intensities is referred as the so called inverse problem. Due to the nature of the problem and in particular to its conflicting objectives, it is believed that heuristic techniques may have advantages over direct methods to solve for the beam intensities.
Original languageEnglish
Title of host publicationArtificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995
EditorsD.W. Pearson, N. C. Steele, R. F. Albrecht
Place of PublicationVienna, Austria
PublisherSpringer Verlag
Pages432-435
Number of pages4
ISBN (Print)978-3-211-82692-8
DOIs
Publication statusPublished - 1995

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Bibliographical note

This conference paper is not available on the repository. The paper was given at the Artificial Neural Nets and Genetic Algorithms International Conference in Alès, France, 1995

Keywords

  • Artificial Intelligence (incl. Robotics)
  • Business Information Systems
  • Complexity
  • Information Storage and Retrieval
  • Data Storage Representation
  • Memory Structures

Cite this

Haas, O. C. L., Burnham, K. J., Fisher, M. H., & Mills, J. A. (1995). Genetic Algorithm Applied to Radiotherapy Treatment Planning. In D. W. Pearson, N. C. Steele, & R. F. Albrecht (Eds.), Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Alès, France, 1995 (pp. 432-435). Vienna, Austria: Springer Verlag. https://doi.org/10.1007/978-3-7091-7535-4_112