On improving physical selectivity in the treatment of cancer: A systems modelling and optimisation approach

Olivier C.L. Haas, Keith J. Burnham, John A. Mills

Research output: Contribution to journalArticle

9 Citations (Scopus)
12 Downloads (Pure)

Abstract

This paper presents the results arising from a practical implementation of a novel hybrid optimisation scheme, used to solve the inverse problem in radiotherapy treatment planning (RTP). A matrix-based beam model which has been developed making use of a control systems modelling approach is used, together with a hybrid optimisation scheme. Patient-specific compensator profiles are deduced from the intensity modulated beam profiles obtained from the hybrid scheme, with use being made of an exponential attenuation factor coupled with a point spread convolution function to account for the scatter in the compensator. A good agreement between the predicted and actual conformational distributions is achieved.
Original languageEnglish
Pages (from-to)1739–1745
JournalControl Engineering Practice
Volume5
Issue number12
DOIs
Publication statusPublished - Dec 1997

Fingerprint

Selectivity
System Modeling
Cancer
Hybrid Optimization
Compensator
Optimization
Radiotherapy
Convolution
Inverse problems
Scatter
Control systems
Planning
Attenuation
Inverse Problem
Control System
Profile
Model

Bibliographical note

© IFAC 1997. This work is posted here by permission of IFAC for your personal use. Not for
distribution. The original version was published in ifac-papersonline.net, DOI
10.1016/S0967-0661(97)10029-6

Keywords

  • Genetic algorithms
  • geometric approaches
  • inverse problem
  • iterative methods
  • least squares methods
  • multiobjective optimisation
  • physics
  • systems methodology

Cite this

On improving physical selectivity in the treatment of cancer: A systems modelling and optimisation approach. / Haas, Olivier C.L.; Burnham, Keith J.; Mills, John A.

In: Control Engineering Practice, Vol. 5, No. 12, 12.1997, p. 1739–1745.

Research output: Contribution to journalArticle

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