D. Mateus

Sinogram-based regularization parameter learning for 2D penalized maximum-likelihood PET image reconstruction

Positron emission tomography (PET) is a molecular imaging technique that creates an image of radiopharmaceutical distribution using acquired sinogram data. Accurate PET reconstruction requires a balance between data fidelity and regularization. The choice of penalty type and the adjustment of the regularization paramet...