Minimal Linear Networks for Magnetic Resonance Image Reconstruction.
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ABSTRACT:
SUBMITTER: Liberman G
PROVIDER: S-EPMC6925115 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature
Publications
Minimal Linear Networks for Magnetic Resonance Image Reconstruction.
Liberman Gilad G Poser Benedikt A BA
Scientific reports 20191220 1
Modern sequences for Magnetic Resonance Imaging (MRI) trade off scan time with computational challenges, resulting in ill-posed inverse problems and the requirement to account for more elaborated signal models. Various deep learning techniques have shown potential for image reconstruction from reduced data, outperforming compressed sensing, dictionary learning and other advanced techniques based on regularization, by characterization of the image manifold. In this work we suggest a framework for ...[more]
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