Abstract: Systems and methods are disclosed for applying attenuation correction to single photon emission computed tomography (SPECT) imaging data for myocardial perfusion imaging (MPI) studies. SPECT-MPI imaging data can be provided to a deep-learning model to automatically generate simulated computed tomography attenuation correction (CT-AC) images from the non-corrected (NC) SPECT-MPI imaging data. These simulated CT-AC images can then be used to perform attenuation correction on the SPECT-MPI imaging data to generate corrected SPECT-MPI imaging data. The deep-learning model can be trained using corresponding pairs of non-corrected SPECT-MPI imaging data and traditional CT-AC imaging data. The deep-learning model can be a conditional generative adversarial neural network (cGAN).