Fig. 2From: A deep learning approach for 18F-FDG PET attenuation correctionSchematic illustration of deepAC. The process consists of a training phase and a reconstruction phase. The training phase is first performed with NAC and co-registered CT data, after which the well-trained network is fixed and ready for generating pseudo-CTs for new PET data in the reconstruction phaseBack to article page