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https://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: | https://hdl.handle.net/10316/44495 | DOI: | 10.1118/1.4941007 | Rights: | openAccess |
Appears in Collections: | FEUC- Artigos em Revistas Internacionais |
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Artigo MP final.pdf | 435.49 kB | Adobe PDF | View/Open |
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