AbstractID: 9547 Title: Predicting breathing motion for 4D radiotherapy
Recent advances in the management of intra-fraction respiratory motion have led to the development of methods such as
4D radiotherapy where temporal changes in anatomy during the imaging, planning and delivery of radiotherapy are explicitly
accounted for. 4D radiation delivery is thus synchronized with respiratory motion through feedback of image-based anatomic motion
information to the treatment delivery system. However, there is a time delay (response time) between the acquisition of anatomic
motion information and the response of the delivery device to account for this motion. During this response time, the anatomy may
have moved, and thus predictive software is required to synchronize the radiation beam with the internal anatomy motion. The aim of
this work is to evaluate the ability of a motion prediction algorithm to predict internal anatomy motion as a function of response time.
Such ability can be further used to estimate the “quiescent” response time that may be suitable for successful 4D radiation delivery.
The prediction algorithm was successfully validated with initial testing on simulated regular sinusoidal motion.