[Genetic algorithm-based dose optimization in intensity modulated radiation therapy].
Nan Fang Yi Ke Da Xue Xue Bao
; 27(1): 46-8, 2007 Jan.
Article
em Zh
| MEDLINE
| ID: mdl-17259143
ABSTRACT
As a powerful global optimization approach, genetic algorithms (GA) can solve a variety of optimization problems in which the objective function is discontinuous, non-differentiable, or highly non-linear, to produce high convergence speed and vast search space. In this thesis, GA is used to optimize the beam weights of intensity modulated radiation therapy (IMRT) inverse planning, and 2D and 3D isodose contour as well as dose volume histogram (DVH) are used to evaluate the treatment plan. Also presented in this thesis are the results of calculation with discussions.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Planejamento da Radioterapia Assistida por Computador
/
Radioterapia Conformacional
Idioma:
Zh
Ano de publicação:
2007
Tipo de documento:
Article