| CPC A61N 5/1031 (2013.01) [G16H 20/40 (2018.01); A61N 2005/1035 (2013.01); A61N 2005/1089 (2013.01)] | 22 Claims |
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1. A system for generating a beam model for a radiation therapy treatment plan used to treat a patient via a radiation therapy device, the system comprising:
a training module configured to:
access simulated machine scanning data measured in a radiation simulation by the radiation therapy device programmed with known values of a plurality of beam model parameters;
interpolate or extrapolate the simulated machine scanning data at a finer resolution of depth or a finer resolution of field size;
construct a set of training data comprising data samples taken from the simulated machine scanning data and the interpolated or extrapolated simulated machine scanning data; and
train a deep learning model using the set of training data and the known values of the plurality of beam model parameters;
a memory to store the trained deep learning model and the plurality of beam model parameters; and
a processor circuit configured to:
receive machine scanning data indicative of a configuration or an operation status of the radiation therapy device;
apply the received machine scanning data to the trained deep learning model to determine values for the plurality of beam model parameters;
generate a beam model based on the determined values of the plurality of beam model parameters; and
store the beam model in the memory accessible by a user or a treatment planning system.
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