A preliminary study of beam weight optimization of intensity-modulated radiation therapy with genetic algorithm.

Author: Mu-tao TANG ¹ ; Chao-min CHEN ; Ling-hong ZHOU ; Qing-wen LÜ ; Zhuo-yu WANG ; Guang-jie CHEN
Author Information

1. School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Publication Type:Journal Article
MeSH: Algorithms; Humans; Models, Statistical; Models, Theoretical; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted; methods; Radiotherapy, Conformal; methods; standards
From: Journal of Southern Medical University 2006;26(4):456-458
CountryChina
Language:Chinese
Abstract:
UNLABELLEDTo study the method for dose calculation and beam weight optimization of intensity-modulated radiation therapy (IMRT).
METHODSThe IMRT dose calculation model based on two-dimensional convolution was constructed, the program of dose calculation and beam weight optimization with genetic algorithm was written with Visual c#.Net, and the optimization results were analyzed.
RESULTSGenetic algorithm optimization of beam weights can produce highly conformal dose distributions within a clinically acceptable computation time.
CONCLUSIONGenetic algorithm is valid and efficient in IMRT beam weight optimization, which may facilitate IMRT treatment planning.