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PhD Research Project Non-linear determination of planning treatment volume growth margins in radiotherapy Researcher: Bon Mzenda Supervisors: David Brown, Alex Gegov & Mir Hosseini-Ashrafi
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Purpose Use of novel computational techniques to derive margins for use in cancer treatment with external beam radiotherapy, based on the radiobiological effects of organ motion, patient set-up variations and delineation errors.
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Fuzzy logic-based margin derivation Why fuzzy logic? Parameters for tumour control (TCP), damage to healthy tissues (NTCP), organ motion, set-up errors and required margin cannot be easily combined using mathematical methods FL offers linguistic rules and membership functions that allow linking of these variables
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Fuzzy model results Good agreement between fuzzy results and current margin formulations Advantage of FL is that it shows acceptable maximum usable limit of margin sizes
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Fuzzy network Under investigation to improve transparency of initial fuzzy system Results also show acceptable margins for clinical use
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