Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning

摘要

BackgroundParameter optimization in the process of inverse treatment planning for intensity modulated radiation therapy (IMRT) is mainly conducted by human planners in order to create a plan with the desired dose distribution. To automate this tedious process, an artificial intelligence (AI) guided system was developed and examined.