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Abstract #1057

Stationary Super-Resolution Multi-Frequency Magnetic Resonance Elastography (SSR-MMRE) of the Human Brain

Eric Barnhill 1 , Ingolf Sack 2 , Jrgen Braun 3 , Jens Wrfel 4 , Colin Brown 5 , Edwin van Beek 1 , and Neil Roberts 1

1 Clinical Research Imaging Centre, The University of Edinburgh, Edinburgh, Scotland, United Kingdom, 2 Radiological Sciences, Charit Universittsmedizin, Berlin, Germany, 3 Informatics, Charit Universittsmedizin, Berlin, Germany, 4 Neuroradiology, Charit Universittsmedizin, Berlin, Germany, 5 Research and Development, The Mentholatum Company, East Kilbride, Scotland, United Kingdom

Multifrequency Magnetic Resonance Elastography (MMRE) fuses MRE acquisitions at multiple frequencies to increase resolution and gain information about dispersion across frequencies. Here the Stationary Super-Resolution (SSR) technique was applied to MMRE images to map sub-voxel features. SSR was first validated with numerical simulations in which sub-voxel features are acquired of a downsampled image. SSR was then applied to a pilot study of three brains: one healthy, one with glioblastoma and one with metastasis. Subvoxel features such as gray matter-CSF and gliosis-oedema interfaces are identified in the recovered parameter maps.

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