Iterative Image Reconstruction with Under- Sampled Data Assisted by a Neural Network

Image reconstruction with under-sampled data is usually achieved by an iterative algorithm, which minimizes an objective function. The objective function commonly contains a data fidelity term and one or more Bayesian terms. This paper suggests that a neural network can be used for a Bayesian term to assist the iterative image reconstruction.