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radiation-therapy-treatment-planning
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Direct aperture optimization for intensity modulated radiation therapy: two calibrated metaheuristics and liver cancer case study
, Article International Journal of Industrial Engineering and Production Research ; Volume 33, Issue 2 , 2022 ; 20084889 (ISSN) ; Mahnam, M ; Akhavan Niaki, S. T ; Sharif University of Technology
Iran University of Science and Technology
2022
Abstract
Integrated treatment planning for cancer patients has high importance in intensity modulated radiation therapy (IMRT). Direct aperture optimization (DAO) is one of the prominent 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 well-known metaheuristic algorithms, particle swarm optimization (PSO) and differential evolution (DE), are utilized to solve the model. The...
A discrete differential evolution with local search particle swarm optimization to direct angle and aperture optimization in IMRT treatment planning problem
, Article Applied Soft Computing ; Volume 131 , 2022 ; 15684946 (ISSN) ; Mahnam, M ; Akhavan Niaki, S. T ; Sharif University of Technology
Elsevier Ltd
2022
Abstract
Intensity-modulated radiation therapy is a well-known technique for treating cancer patients worldwide. A treatment plan in this technique requires decision-making for three main problems: selection of beam angles, intensity map calculation, and leaf sequencing. Previous works investigated these problems sequentially. We present a new integrated framework for simultaneous decision-making of directions, intensities, and aperture shape, called direct angle and aperture optimization, and develop a mixed-integer nonlinear mathematical model for the problem. Due to the nonlinearity and the dimension of the problem, three efficient metaheuristics based on differential evolution (DE) called classic...