Please use this identifier to cite or link to this item:
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.
Other Identifiers: 10.1118/1.4941007
Rights: openAccess
Appears in Collections:FEUC- Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
Artigo MP final.pdf435.49 kBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Oct 15, 2019


checked on Oct 15, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.