Predictive tracking for respiratory induced motion compensation in adaptive radiotherapy

Piotr Skworcow, Devi Putra, Abdelhamid Sahih, John Goodband, Olivier C.L. Haas, Keith J. Burnham, John A. Mills

    Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
    70 Downloads (Pure)


    This paper considers a compensation strategy for respiratory-induced tumour motion for adaptive radiotherapy using a controlled patient support system (PSS). A model predictive control (MPC) scheme for the PSS to track the tumour motion is proposed together with two methods for predicting tumour motion, including a Kalman ¯lter and neural networks. Simulation results using a clinical data set consisting of 27 traces of respiratory motion show the potential of the proposed control strategy.
    Original languageEnglish
    Title of host publicationUKACC Control, 2006. Mini Symposia
    Number of pages8
    ISBN (Print)0-86341-670-5
    Publication statusPublished - Aug 2006

    Bibliographical note

    This paper was given at the UKACC Control, 2006. Mini Symposia, Glasgow, 31 August 2006


    • Adaptive radiotherapy
    • Kalman ¯lter
    • model predictive control
    • neural
    • networks
    • tracking control
    • tumour motion.


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