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

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 proceeding › Conference proceeding › peer-review

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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 language	English
Title of host publication	UKACC Control, 2006. Mini Symposia
Publisher	IET
Pages	203-210
Number of pages	8
ISBN (Print)	0-86341-670-5
Publication status	Published - 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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@inproceedings{cf4647e781e54ce6a3e9493f7c621eed,

title = "Predictive tracking for respiratory induced motion compensation in adaptive radiotherapy",

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.",

keywords = "Adaptive radiotherapy, Kalman ¯lter, model predictive control, neural, networks, tracking control, tumour motion.",

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

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

year = "2006",

month = aug,

language = "English",

isbn = "0-86341-670-5",

pages = "203--210",

booktitle = "UKACC Control, 2006. Mini Symposia",

publisher = "IET",

address = "United Kingdom",

}

TY - GEN

T1 - Predictive tracking for respiratory induced motion compensation in adaptive radiotherapy

AU - Skworcow, Piotr

AU - Putra, Devi

AU - Sahih, Abdelhamid

AU - Goodband, John

AU - Haas, Olivier C.L.

AU - Burnham, Keith J.

AU - Mills, John A.

N1 - This paper was given at the UKACC Control, 2006. Mini Symposia, Glasgow, 31 August 2006

PY - 2006/8

Y1 - 2006/8

N2 - 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.

AB - 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.

KW - Adaptive radiotherapy

KW - Kalman ¯lter

KW - model predictive control

KW - neural

KW - networks

KW - tracking control

KW - tumour motion.

M3 - Conference proceeding

SN - 0-86341-670-5

SP - 203

EP - 210

BT - UKACC Control, 2006. Mini Symposia

PB - IET

ER -

Predictive tracking for respiratory induced motion compensation in adaptive radiotherapy

Abstract

Bibliographical note

Keywords

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