DocumentCode :
2190651
Title :
Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment
Author :
Mzenda, Bongile ; Brown, David J. ; Gegov, Alex
Author_Institution :
Inst. of Ind. Res., Univ. of Portsmouth, Portsmouth, UK
fYear :
2011
fDate :
11-15 April 2011
Firstpage :
1
Lastpage :
8
Abstract :
This study introduces the novel application of a fuzzy network concept to derive optimal margins for use in the treatment of cancer using external beam radiotherapy. The input data for the model is based on the effects of treatment errors, in terms of delineation, organ motion and patient set-up errors, on tumour coverage and doses to critical organs. A demonstrable improvement in the model transparency is shown by application of the fuzzy network compared to a conventional fuzzy system, whilst the model accuracy is also improved.
Keywords :
cancer; fuzzy logic; fuzzy systems; medical computing; radiation therapy; cancer treatment; external beam radiotherapy; fuzzy modelling; fuzzy network; organ motion; patient set-up error; treatment error; tumour coverage; Cancer; Data models; Fuzzy logic; Fuzzy systems; Mathematical model; Planning; Tumors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9896-3
Type :
conf
DOI :
10.1109/CIBCB.2011.5948453
Filename :
5948453
Link To Document :
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