DocumentCode :
2495126
Title :
A New Algorithm in the Application of Parameter Optimization in Radiotherapy
Author :
Cao Ming yong ; Chen Chaomin ; Zhou Linghong ; Tonglei
Author_Institution :
Southern Med. Univ., Guangzhou, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
The genetic algorithm with two populations was used to optimize IMRT beam weight and orientations with three dimensional pencil beam dose calculation model. The algorithm was implemented in Visual c#.Net. After experience and analysis, we found that modest change of the beam orientation resulted in more conformal dose distribution in target volume and larger high dose area was included. Furthermore, genetic algorithm with two populations gave such a clinically acceptable computation time. It provided a satisfactory result. So, the genetic algorithm with two populations was an effective and global optimization method because of its parallelism, robust and globalization. It provided satisfactory results when being used to optimize IMRT beam weight and orientations.
Keywords :
dosimetry; genetic algorithms; radiation therapy; IMRT beam weight; Visual c#.Net; conformal dose distribution; genetic algorithm; global optimization method; intensity modulated radiation therapy; parameter optimization; radiotherapy; three dimensional pencil beam dose calculation model; Arithmetic; Chaos; Decoding; Educational institutions; Encoding; Genetic algorithms; Neoplasms; Optimization methods; Parallel processing; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5162190
Filename :
5162190
Link To Document :
بازگشت