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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