OPTIMED: iterative optimization for large-scale inverse problems in medical imaging
This paper deals with image reconstruction using iterative algorithms. The framework under consideration involves large amount of data and/or large observation operator We proposed here algorithms for which we were able to state convergence proofs. The reliability and accuracy of the proposed approaches are demonstrated via three applications: the positron emission tomography (PET), the parallel magnetic resonance imaging (MRI) and two-dimensional nuclear magnetic resonance (2D NMR).
iterative algorithms pet mri convex optimization 2d-nmr