PMID: 11324953Apr 28, 2001Paper

An optimization method for importance factors and beam weights based on genetic algorithms for radiotherapy treatment planning

Physics in Medicine and Biology
X Wu, Y Zhu

Abstract

We propose a new method for selecting importance factors (for regions of interest like organs at risk) used to plan conformal radiotherapy. Importance factors, also known as weighting factors or penalty factors, are essential in determining the relative importance of multiple objectives or the penalty ratios of constraints incorporated into cost functions, especially in dealing with dose optimization in radiotherapy treatment planning. Researchers usually choose importance factors on the basis of a trial-and-error process to reach a balance between all the objectives. In this study, we used a genetic algorithm and adopted a real-number encoding method to represent both beam weights and importance factors in each chromosome. The algorithm starts by optimizing the beam weights for a fixed number of iterations then modifying the importance factors for another fixed number of iterations. During the first phase, the genetic operators, such as crossover and mutation, are carried out only on beam weights, and importance factors for each chromosome are not changed or 'frozen'. In the second phase, the situation is reversed: the beam weights are 'frozen' and the importance factors are changed after crossover and mutation. Through altern...Continue Reading

Citations

Jan 15, 2010·Physics in Medicine and Biology·Hao H ZhangWarren D D'Souza
Aug 30, 2003·Medical Physics·Warren D D'Souza, Isaac I Rosen
Nov 5, 2003·Medical Physics·Hui YanJae Ho Kim
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Dec 5, 2003·Physics in Medicine and Biology·Hui YanJae Ho Kim
Jan 2, 2004·Physics in Medicine and Biology·Jianrong Dai, Yunping Zhu
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