Accelerated dose calculation using deep learning

Abstract

Systems and methods for predicting radiation dose distribution and planning a radiotherapy treatment are disclosed. An exemplary system includes a memory to store a computational model (such as a trained machine learning model), a dose prediction engine to predict a dose profile, and a treatment planning circuit. The dose prediction engine executes a dose simulation to determine a preliminary dose profile at a first statistical uncertainty level, applies the determined preliminary dose profile to the computational model to predict a refined dose profile at a second statistical uncertainty level lower than the first statistical uncertainty level. Based at least in part on refined dose profile, the treatment planning system can generate or update a radiotherapy treatment plan for use in a radiation treatment session.

Dependencies are inferred from the claim text.