Cross-scale self-similarity super-resolution of single MRI slice-stacks

A new method for super-resolution reconstruction of single MRI slice-stacks is presented. It exploits the fact that both high-resolution and low-resolution image content is present in MRI slice-stacks: In-plane slices contain high-resolution content, while the orthogonal planes containing the slice-selection direction are of low anisotropic resolution. The method relies on the powerful assumption of self-similarity of local image structures across these two scales. By training a pair of dicitonaries to capture the relationship between the scales, the resolution LR image planes can subsequently be increased by application of the dictionaries.

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