System and method for learning radiation therapy treatment planning model and predicting radiation therapy dose distribution

摘要

The present disclosure relates to systems and methods for formulating radiation therapy treatment plans through the use of machine learning approaches and neural network components. A neural network is trained using one or more 3D medical images, one or more 3D anatomical maps, and one or more dose distributions to predict a fluence map or dose map . During training, the neural network receives an expected dose distribution determined by the neural network that is compared to the expected dose distribution. The comparison is repeated until a predetermined threshold is achieved. A trained neural network is then used to provide a three-dimensional dose distribution. [Selection] Figure 1