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Abstract #5040

High Resolution Super-Resolved Structural FSE at Ultra-low Fields for Source Reconstruction in MEG

James Gholam1, Luke Tait1, Jiri Benacek1, Svetla Manolova1, Heather Statham1, Gavin Perry1, Francesco Padormo2, Mara Cercignani1, Krish Singh1, and Derek K Jones1
1CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 2Hyperfine Inc., Guilford, CT, United States

Synopsis

Keywords: Gray Matter, Low-Field MRI

Motivation: Volumetric neuroanatomical measures constrain source localisation in magnetoencephalography (MEG). Ultra-low field MRI (ULF-MRI) measurements of anatomy are accessible to a wider population due to both cost and implant tolerance.

Goal(s): We test whether ULF-MRI can be used to adequately inform volumetric measures for MEG

Approach: High resolution, high bandwidth T2w FSE images of a volunteer were collected on a 0.064T MR system and matched to 3T T1 MPRAGE scans. The LF scan was superesolved and input to a standard source localisation pipeline for an MEG gamma task

Results: LF volumetrics showed insignificant distortions allowing comparable source localisation, and outperform a warped template approach

Impact: MEG source localisation is significantly aided by knowledge of participant neuroanatomy. ULF-MRI offers accessible imaging to implanted populations, as well as providing nervous or younger participants clear lines-of-sight and freedom to be comforted by caregivers.

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