Generation of virtual lung single-photon emission computed tomography/CT fusion images for functional avoidance radiotherapy planning using machine learning algorithms.

The results indicate that the cGAN model used here can generate functional areas from RT planning chest CT images. This could be used for functional image-guided RT planning, for example, to spare patients' lung function without additional imaging modalities and costs. Additional studies are needed with many more training and test sets.