A system and method includes acquisition of a plurality of non-attenuation-corrected volumes, each of the non-attenuation-corrected volumes based on a respective one of a plurality of sets of two-dimensional emission data, acquisition of a plurality of attenuation coefficient maps, each of the plurality of attenuation coefficient maps corresponding to a respective one of the plurality of sets of two-dimensional emission data, training of a convolutional network to generate a generated attenuation coefficient map from an input image volume, the training based on the plurality of non-attenuation-corrected volumes and respective ones of the plurality of attenuation coefficient maps, and output of trained kernels of the trained convolutional network to an emission imaging system.
Network training and architecture for medical imaging