DocumentCode
3242787
Title
Target volume definition for three-dimensional radiotherapy of cancer patients with a fuzzy rule based system
Author
Waschek, T. ; Levegrun, S. ; Schlegel, W. ; van Kampen, M. ; Engenhart-Cabillic, R.
Author_Institution
Dept. of Med. Phys., German Cancer Res. Centre, Heidelberg, Germany
Volume
3
fYear
1996
fDate
8-11 Sep 1996
Firstpage
1718
Abstract
Radiotherapy is an effective treatment for many cancer patients. The volume to be irradiated, i.e. the target volume, is determined by the radiotherapist who aims, in this process, at including the whole tumor at the same time as saving the surrounding healthy tissues as much as possible. The target volume definition is a difficult step, since the imaging techniques on which this process is based can visualize the gross tumor mass but not all microscopic tumor cell spread. This causes diagnostic uncertainties, leading to a fuzziness of the target volume. In order to assist the radiotherapist in the process of target volume definition, we developed a new approach. The radiotherapist defines a minimal target volume which surely contains tumor cells and a maximal target volume, outside of which no tumor cell spread is expected. The fuzziness region in between is processed by a fuzzy rule based system that calculates the membership values of individual subvolumes in the fuzziness region with respect to the target volume. The result is a fuzzy target volume which includes the diagnostic uncertainties in the target volume definition. Subsequently, after defuzzification a crisp target volume with optimized extension is proposed to the radiotherapist
Keywords
fuzzy logic; fuzzy systems; knowledge based systems; radiation therapy; cancer patients; diagnostic uncertainties; fuzziness region; fuzzy rule based system; gross tumor mass; microscopic tumor cell spread; target volume definition; three-dimensional radiotherapy; Biomedical optical imaging; Cancer; Computed tomography; Magnetic resonance imaging; Medical treatment; Microscopy; Neoplasms; Optical imaging; Tumors; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552629
Filename
552629
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