  Synthetic CT image generation from MRI scan is necessary to create
radiotherapy plans without the need of co-registered MRI and CT scans. The
chosen baseline adversarial model with cycle consistency permits unpaired
image-to-image translation. Perceptual loss function term and coordinate
convolutional layer were added to improve the quality of translated images. The
proposed architecture was tested on paired MRI-CT dataset, where the synthetic
CTs were compared to corresponding original CT images. The MAE between the
synthetic CT images and the real CT scans is 61 HU computed inside of the true
CTs body shape.
