Patent ID: 11896847
Assignee: ELEKTA LIMITED
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 6:
7. The method of claim 6, wherein the neural network is trained using a cycle-consistent generative adversarial network (CycleGAN) comprising the generative model and the discriminative model, wherein the generative model is a first generative model and the discriminative model is a first discriminative model, wherein the CycleGAN further comprises:
a second generative model trained to:
process, from a given pair of the set of pairs, a given graphical aperture image representation of the MLC leaf positions at a given gantry angle as an input;
provide a synthetic projection image that represents a view of a training subject anatomy from the given gantry angle as an output; and
a second discriminative model trained to classify the synthetic projection image as a synthetic or a real projection image.