Appling Genetic Algorithm to Optimize Locations and Activities of the Seeds in Brachytherapy to Deliver Dose to the Defined BorderMowlavi AA1*, Zibandeh-Gorji M2 and Mohammadi S2
- *Corresponding Author:
- Dr. Mowlavi AA
Sabsevar Tarbiat Moallem University
E-mail: [email protected]
Received date: November 08, 2012; Accepted date: December 17, 2012; Published date: December 19, 2012
Citation: Mowlavi AA, Zibandeh-Gorji M, Mohammadi S (2012) Appling Genetic Algorithm to Optimize Locations and Activities of the Seeds in Brachytherapy to Deliver Dose to the Defined Border. J Cancer Sci Ther 4: 001-003. doi: 10.4172/1948-5956.1000100
Copyright: © 2012 Mowlavi AA, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
As it is well known, improving in treatment planning of brachytherapy is very important. In this research, we have introduced a method for this purpose. We have applied the genetic algorithm to find the proper locations and activities of a 125I brachytherapy seeds to deliver a desired dose to the border of the tumor in two dimensional surfaces. The initial positions of the seeds have been identified, and then by using a MATLAB code based on the genetic algorithm, we obtained the best locations and the activities of the seeds. This optimization method has been applied for some shape of the tumors. The results show that the desired dose to the border of a square, ellipsoid and general form of tumors is matched very well.
According to the results this technique can be used to optimize treatment plan of brachytherapy usefully. We plan to extend this method for three dimensional situations.