Research of Objective Function in Inverse Planning Optimization for IMRT

Author

Cao, Dongzhi ; Li, Guoli

Author_Institution

Coll. of Comput. Sci., Zhejiang Univ. of Technol., Hangzhou, China

fYear

2010

fDate

17-19 Dec. 2010

Firstpage

1162

Lastpage

1165

Abstract

In the inverse planning optimization of Intensity Modulated Radiation Therapy (IMRT), the Multi-Objective Particle Swarm Algorithm (MOPSA) is applied to optimization the test examples whose objective functions are based on average dose distribution and Dose-Volume Histogram (DVH) respectively. The calculation time, converge speed, numbers of non-inferior solution are compared with two kinds of objective functions. The results show that the objective function influence optimization process, and the DVH based objective function has the superiority in converge speed and the numbers of non-inferior solution.

Keywords

intensity modulation; particle swarm optimisation; radiation therapy; average dose distribution; converge speed; dose-volume histogram; intensity modulated radiation therapy; inverse planning optimization; multiobjective particle swarm algorithm; objective function; Algorithm design and analysis; Artificial neural networks; Monte Carlo methods; Nonhomogeneous media; Optimization; Particle swarm optimization; Planning; IMRT; inverse planning; multi-objective particle swarm algorithm; objective function;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8814-8

Electronic_ISBN

978-0-7695-4270-6

Type

conf

DOI

10.1109/ICCIS.2010.287

Filename

5709487