Differentiable Score-Based Likelihood Estimation for Gradient-Based CT Motion Compensation

A score-based diffusion model trained on motion-free CT images can be used to estimate the likelihood of motion-affected images, enabling gradient-based optimization of motion parameters to reduce artifacts.