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Abstract
This paper considers a compensation strategy for tumour motion caused by respiration and patient movements during radiotherapy treatments using a controlled patient support system (PSS). An output-feedback model predictive control (MPC) scheme for the PSS to track the tumour motion is proposed. The MPC controller utilizes predicted tumour positions, which are calculated by a Kalman filter, as reference signals and estimated position and velocity of the PSS, which are obtained from a state observer, as feedback signals. Simulation results using a clinical data set consisting of 100 traces of lung-cancer patient respiratory motion demonstrate the applicability of the proposed control strategy.
Original language | English |
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Title of host publication | American Control Conference, 2007. ACC '07 |
Publisher | IEEE |
Pages | 3414 - 3419 |
Number of pages | 6 |
ISBN (Print) | 1-4244-0988-8 |
DOIs | |
Publication status | Published - Jul 2007 |
Event | 2007 American Control Conference - New York, United States Duration: 9 Jul 2007 → 13 Jul 2007 |
Publication series
Name | |
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ISSN (Print) | 0743-1619 |
ISSN (Electronic) | 2378-5861 |
Conference
Conference | 2007 American Control Conference |
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Country/Territory | United States |
City | New York |
Period | 9/07/07 → 13/07/07 |
Bibliographical note
This conference paper is not yet available on the repository. The paper was given at the American Control Conference, 2007 (ACC '07), New York, 9-13 July 2007Keywords
- Kalman filter
- adaptive radiotherapy treatment
- clinical data set
- controlled patient support system
- feedback signal
- lung-cancer patient respiratory motion
- output-feedback model predictive control
- output-feedback tracking
- patient movement
- reference signal
- respiration movement
- state observer
- tumour motion compensation
- tumour position
Fingerprint
Dive into the research topics of 'Output-Feedback Tracking for Tumour Motion Compensation in Adaptive Radiotherapy'. Together they form a unique fingerprint.Projects
- 1 Finished
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MAESTRO: Methods and Advanced Equipment for Simulation and Treatment in Radiation Oncology
haas, O. (Principal Investigator), Burnham, K. (Co-Investigator), Skworcow, P. (Research Assistant) & Sahih, A. (Research Assistant)
1/05/04 → 30/04/09
Project: Research