  This paper proposes a method to extend the field of view of computed
tomography images. In a first step, the field of view is increased by
extrapolating linearly the outer channels in the sinogram space. The modified
sinogram is then used to reconstruct extended field of view (EFoV) images
containing artifacts due to the channels extension. In a second step, those
artifacts are reduced by a deep learning network in image space. The proposed
method has been evaluated on a collection of clinical scans. The resulting
volumes have been checked for consistency and plausibility and compared to an
existing state of the art EFoV method.
