Retrospective Blind MR Image Recovery with Parametrized Motion Models
In this paper, we present an alternating retrospective MRI reconstruction framework based on a parametrized motion model. An image recovery algorithm promoting sparsity is used in tandem with a numeric parameter search to iteratively reconstruct a sharp image. Additionally, we introduce a multiresolution strategy to restrict the numeric complexity. This algorithm is then tested in conjunction with a simple motion model on simulated data and provides robust and fast reconstruction of sharp images from severely corrupted k-spaces.
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- 5.Cocosco CA, Kollokian V, Kwan RKS, et al. BrainWeb: online interface to a 3D MRI simulated brain database. NeuroImage. 1997;5:425.Google Scholar