Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/44495
Title: Automated fluence map optimization based on fuzzy inference systems
Authors: Dias, Joana 
Rocha, Humberto 
Ventura, Tiago 
Ferreira, Brígida 
Lopes, Maria do Carmo 
Keywords: Automation; Humans; Organs at Risk; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted; Tomography, X-Ray Computed; Fuzzy Logic
Issue Date: 2016
Serial title, monograph or event: Medical Physics
Volume: 43
Issue: 3
Abstract: The planning of an intensity modulated radiation therapy treatment requires the optimization of the fluence intensities. The fluence map optimization (FMO) is many times based on a nonlinear continuous programming problem, being necessary for the planner to define a priori weights and/or lower bounds that are iteratively changed within a trial-and-error procedure until an acceptable plan is reached. In this work, the authors describe an alternative approach for FMO that releases the human planner from trial-and-error procedures, contributing for the automation of the planning process.
URI: http://hdl.handle.net/10316/44495
Other Identifiers: 10.1118/1.4941007
Rights: openAccess
Appears in Collections:FEUC- Artigos em Revistas Internacionais

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