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 proceeding

4 Citations (Scopus)
23 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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  • Cite this

    Skworcow, P., Putra, D., Sahih, A., Goodband, J., Haas, O. C. L., Burnham, K. J., & Mills, J. A. (2006). Predictive tracking for respiratory induced motion compensation in adaptive radiotherapy. In UKACC Control, 2006. Mini Symposia (pp. 203-210). IET.