On improving physical selectivity in the treatment of cancer: A systems modelling and optimisation approach

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

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    10 Citations (Scopus)
    45 Downloads (Pure)

    Abstract

    This paper presents the results arising from a practical implementation of a novel hybrid optimisation scheme, used to solve the inverse problem in radiotherapy treatment planning (RTP). A matrix-based beam model which has been developed making use of a control systems modelling approach is used, together with a hybrid optimisation scheme. Patient-specific compensator profiles are deduced from the intensity modulated beam profiles obtained from the hybrid scheme, with use being made of an exponential attenuation factor coupled with a point spread convolution function to account for the scatter in the compensator. A good agreement between the predicted and actual conformational distributions is achieved.
    Original languageEnglish
    Pages (from-to)1739–1745
    JournalControl Engineering Practice
    Volume5
    Issue number12
    DOIs
    Publication statusPublished - Dec 1997

    Bibliographical note

    © IFAC 1997. This work is posted here by permission of IFAC for your personal use. Not for
    distribution. The original version was published in ifac-papersonline.net, DOI
    10.1016/S0967-0661(97)10029-6

    Keywords

    • Genetic algorithms
    • geometric approaches
    • inverse problem
    • iterative methods
    • least squares methods
    • multiobjective optimisation
    • physics
    • systems methodology

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