State-of-the-Art Deep Learning CT Reconstruction Algorithms in Abdominal Imaging

Deep learning reconstruction CT algorithms can reduce image noise associated with lower radiation doses while preserving image texture and diagnostic performance, often overcoming the limitations of filtered backprojection and iterative reconstruction methods, and future DLR software developments combined with new CT hardware technologies such as photon-counting CT promise dramatically improved image quality.