Abstract #0408
Cross-scale self-similarity super-resolution of single MRI slice-stacks
Esben Plenge 1 and Michael Elad 1
1
Dept. of Computer Science, Technion - Israel
Institute of Technology, Haifa, Israel
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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