Title :
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
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;
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
DOI :
10.1109/BMEI.2009.5305442
