Total-Body Parametric Reconstruction with Deep Learning-based Data-driven Motion Compensation

60 null Objectives: null null null The uEXPLORER PET/CT system with ultra-high sensitivity and total-body coverage provides potential for more accurate quantification of a wide range of physiological parameters in vivo. Motion during dynamic PET data acquisition can cause image blurring and reduce quantitative accuracy. In this work, we apply our previously developed deep learning-based data-driven gating and motion compensation methods to...