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Radiotherapy Treatment Planning New System Approaches

By: Material type: TextTextSeries: Advances in Industrial ControlPublication details: Control Theory and Applications Centre, Coventry University, Priory Street, Coventry CVl SFB, UK Springer Science & Business Media 2012Description: 220 pagesISBN:
  • 9781447108214
  • 1447108213
Subject(s): DDC classification:
  • 21 616.99'40642
LOC classification:
  • RC271.R3H38 1998
  • WN 250.5.R2 H112r 1998
Summary: 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.
Item type: E-BOOKS
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Item type Current library Collection Status Barcode
E-BOOKS MWALIMU NYERERE LEARNING RESOURCES CENTRE-CUHAS BUGANDO NFIC 2 EBS8785
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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.

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