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Title

Two metaheuristic algorithms for Direct Aperture Optimization in Intensity Modulated Radiation Therapy: real-world case study for liver cancer

هجدهمین کنفرانس بین المللی مهندسی صنایع
Year: 1400
COI: IIEC18_122
Language: EnglishView: 157
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Authors

Ali Fallahi - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran;
Mehdi Mahnam - Department of Industrial and Systems Engineering, Isfahan University of Technology, Isfahan, ۸۴۱۵۶-۸۳۱۱۱, Iran; Center for Optimization and Intelligent Decision Making in Healthcare Systems (COID-Health), Isfahan University of Technology, Isfahan, ۸۴۱۵۶-۸
Seyed Taghi Akhavan Niaki - Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran;

Abstract:

Integrated treatment plan design for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the efficient approaches used in recent years to attain this goal. Considering a set of beam directions, DAO is an integrated approach to optimize the intensity and leaf position of apertures in each direction. In this paper, first, a mixed integer-nonlinear mathematical formulation for the DAO problem in IMRT treatment planning is presented. Regarding the complexity of the problem, two wellknown metaheuristic algorithms, differential evolution (DE) and particle swarm optimization (PSO), are utilized to solve the model. The parameter calibration is performed with the Taguchi method for both algorithms. The performance of algorithms is evaluated by solving the model for ۱۰ real liver cancer cases. The analysis of results demonstrates that the PSO algorithm outperforms the DE algorithm. Some directions are discussed for future researches.

Keywords:

Radiation therapy treatment planning , Intensity modulated radiation therapy , Direct aperture optimization , Particle swarm optimization , Differential evolution ,

Paper COI Code

This Paper COI Code is IIEC18_122. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1354304/

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If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Fallahi, Ali and Mahnam, Mehdi and Akhavan Niaki, Seyed Taghi,1400,Two metaheuristic algorithms for Direct Aperture Optimization in Intensity Modulated Radiation Therapy: real-world case study for liver cancer,18th International Conference on Industrial Engineering,https://civilica.com/doc/1354304

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Type of center: دانشگاه دولتی
Paper count: 14,809
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