Cancer Science & Therapy

Appling Genetic Algorithm to Optimize Locations and Activities of the Seeds in Brachytherapy to Deliver Dose to the Defined Border

Abstract

Mowlavi AA, Zibandeh-Gorji M and Mohammadi S

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.