An Improved NSGA-II Algorithm for the Optimization of IMRT Inverse Planning

Author

Li Guoli ; Lin, Lin ; Li Zhizhong

Author_Institution

Coll. Of Inf. Eng., Zhe Jiang Univ. of Technol., Hangzhou, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

3

Abstract

An improved NSGA-II algorithm is applied to the optimization of inverse planning in intensity modulated radiation treatment (IMRT). The test example of irregular field under the condition of water phantom is used to test the inverse planning process of IMRT. The objective functions of PTV (planning target volume) and NT (normal tissue) are based on the average dose distribution. The result of inverse planning shows that the algorithm has clearly advantages on convergence speed and Pareto front distribution.

Keywords

Pareto analysis; biological tissues; biology computing; optimisation; phantoms; radiation therapy; IMRT inverse planning; NSGA-II algorithm; Pareto front distribution; intensity modulated radiation treatment; normal tissue; optimization; planning target volume; water phantom; Biological cells; Educational institutions; Genetic algorithms; Gradient methods; Neoplasms; Optimization methods; Process planning; Simulated annealing; Technology planning; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4132-7

Electronic_ISBN

978-1-4244-4134-1

Type

conf

DOI

10.1109/BMEI.2009.5305442

Filename

5305442