MRI Super-Resolution using Multi-Channel Total Variation

8 Oct 2018Mikael BrudforsYael BalbastreParashkev NachevJohn Ashburner

This paper presents a generative model for super-resolution in routine clinical magnetic resonance images (MRI), of arbitrary orientation and contrast. The model recasts the recovery of high resolution images as an inverse problem, in which a forward model simulates the slice-select profile of the MR scanner... (read more)

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