Output-Feedback Tracking for Tumour Motion Compensation in Adaptive Radiotherapy

Devi Putra; Piotr Skworcow; Olivier C.L Haas; Keith J. Burnham; John A. Mills

doi:10.1109/ACC.2007.4282924

Output-Feedback Tracking for Tumour Motion Compensation in Adaptive Radiotherapy

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

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

11 Citations (Scopus)

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
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	https://doi.org/10.1109/ACC.2007.4282924
Publication status	Published - Jul 2007
Event	2007 American Control Conference - New York, United States Duration: 9 Jul 2007 → 13 Jul 2007

Publication series

Name
ISSN (Print)	0743-1619
ISSN (Electronic)	2378-5861

Conference

Conference	2007 American Control Conference
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 2007

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ACC.2007.4282924

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

Cite this

@inproceedings{0ce6047b17c04657835e9f4573cfdca8,

title = "Output-Feedback Tracking for Tumour Motion Compensation in Adaptive Radiotherapy",

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.",

keywords = "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",

author = "Devi Putra and Piotr Skworcow and Haas, {Olivier C.L} and Burnham, {Keith J.} and Mills, {John A.}",

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 2007; 2007 American Control Conference ; Conference date: 09-07-2007 Through 13-07-2007",

year = "2007",

month = jul,

doi = "10.1109/ACC.2007.4282924",

language = "English",

isbn = "1-4244-0988-8",

publisher = "IEEE",

pages = "3414 -- 3419",

booktitle = "American Control Conference, 2007. ACC '07",

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AU - Putra, Devi

AU - Skworcow, Piotr

AU - Haas, Olivier C.L

AU - Burnham, Keith J.

AU - Mills, John A.

N1 - 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 2007

PY - 2007/7

Y1 - 2007/7

N2 - 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.

AB - 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.

KW - Kalman filter

KW - adaptive radiotherapy treatment

KW - clinical data set

KW - controlled patient support system

KW - feedback signal

KW - lung-cancer patient respiratory motion

KW - output-feedback model predictive control

KW - output-feedback tracking

KW - patient movement

KW - reference signal

KW - respiration movement

KW - state observer

KW - tumour motion compensation

KW - tumour position

U2 - 10.1109/ACC.2007.4282924

DO - 10.1109/ACC.2007.4282924

M3 - Conference proceeding

SN - 1-4244-0988-8

SP - 3414

EP - 3419

BT - American Control Conference, 2007. ACC '07

PB - IEEE

T2 - 2007 American Control Conference

Y2 - 9 July 2007 through 13 July 2007

ER -

Output-Feedback Tracking for Tumour Motion Compensation in Adaptive Radiotherapy

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

MAESTRO: Methods and Advanced Equipment for Simulation and Treatment in Radiation Oncology

Cite this