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)

    Abstract

    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
    PublisherIET
    Pages203-210
    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

    Keywords

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

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