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Radiotherapy Treatment Planning

New System Approaches

  • Book
  • © 1999

Overview

Authors:
  1. Olivier Cyrille Louis Haas

    1. Control Theory and Applications Centre, Coventry University, Coventry, UK

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  • Covers all the new system approaches and complex issues surrounding the subject
  • Has a wide appeal, and will be relevant for all those involved in the industry
  • Has many ideas for further research and development on the topic

Part of the book series: Advances in Industrial Control (AIC)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xx
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  2. Introduction and Brief Review of Developments in Radiotherapy

    • Olivier Cyrille Louis Haas
    Pages 1-32

  3. Beam Characteristics and Preliminary Modelling Considerations

    • Olivier Cyrille Louis Haas
    Pages 33-58

  4. Formulation of Matrix Based Beam Model

    • Olivier Cyrille Louis Haas
    Pages 59-90

  5. Solving the Inverse Problem in Radiotherapy Treatment Planning

    • Olivier Cyrille Louis Haas
    Pages 91-134

  6. Hybrid Genetic Algorithms Applied to Radiotherapy Treatment Planning

    • Olivier Cyrille Louis Haas
    Pages 135-176

  7. Experimental Verification of Overall Approach

    • Olivier Cyrille Louis Haas
    Pages 177-204

  8. Conclusions

    • Olivier Cyrille Louis Haas
    Pages 205-207

  9. Back Matter

    Pages 209-220
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Keywords

About this book

An in depth examination of many of the complex issues associated with planning and optimisation of intensity modulated radiotherapy treatment. It includes: a presentation of current practice, techniques and equipment used by medical physicists and others to deliver radiotherapy treatment; a systems modelling approach in the formulation of a beam model for optimisation, describing the effect of X-rays on human body tissues; a deterministic approach to the inverse problem in radiotherapy, based on weighted iterative least squares is modified to allow an adaptive scaling of the error to improve the performance of a general least squares algorithm; a guided random search methodology, based on genetic algorithms which is aimed at solving multi-objective optimisation problems is developed to optimise beam weight/wedge angle as well as coplanar beam orientation; the overall approach developed is demons trated practically using both traditional and modern measurement techniques.

Authors and Affiliations

  • Control Theory and Applications Centre, Coventry University, Coventry, UK

    Olivier Cyrille Louis Haas

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