A fuzzy system for evaluating radiation treatment plans of head and neck cancer

Author

Tsair-Fwu Lee ; Chang-Yu Lee ; Pei-Ju Chao ; Li-Fu Wu ; Chin-Shiuh Shieh ; Ping-Shou Cheng ; Kuan-Cho Liao ; Chun-Hsiung Fang

Author_Institution

Dept. of Electron. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan

fYear

2012

fDate

29-31 May 2012

Firstpage

510

Lastpage

514

Abstract

In this study, 14 treatment planning dose parameters for head and neck cancer are adopted as the characteristic functions to establish the statistical analysis of the fuzzy system module for radiation treatment plan classification. By constructing fuzzy rules and fuzzy set membership functions, we aim to improve the classification efficiency and accuracy by the fuzzy systems, and to improve the quality of the treatment plan. Three different fuzzy logic control systems were used for analysis of 100 Pinnacle treatment planning system datasets. The results show that the accuracy may be up to 100%. The fuzzy logic control system we propose may be a useful tool for accurate planning and decision-making.

Keywords

cancer; dosimetry; fuzzy logic; patient treatment; statistical analysis; fuzzy logic control system; fuzzy rules membership; fuzzy set membership; fuzzy system module; head cancer; neck cancer; radiation treatment evaluation; radiation treatment plan classification; statistical analysis; treatment planning; Cancer; Fuzzy logic; Fuzzy sets; Fuzzy systems; Head; Neck; Planning; dose parameter; fuzzy system; head and neck cancer; treatment plan;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Conference_Location

Sichuan

Print_ISBN

978-1-4673-0025-4

Type

conf

DOI

10.1109/FSKD.2012.6234043

Filename

6234043