Advances in deep learning-based static PET image reconstruction method

With the vigorous development and wide application of PET imaging, its reconstruction algorithms have been significantly improved. Recently, deep learning (DL) has demonstrated excellent learning ability in high-dimensional and highly complex data, showing great potential in improving the speed and accuracy of PET image reconstruction. DL has been proven to have promising development prospects in PET image reconstruction. The authors review the latest research progress of DL in static PET image reconstruction at home and abroad.