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Abstract #1847

Super-resolution MRI with 3D cones

Haneefah A Brnawi1,2, Michael Mendoza1, Neal K Bangerter 1,3, and Peter J Lally 1,2
1Biomedical Engineering Department, Imperial College London, London, United Kingdom, 2London Collaborative Ultra-High Field MRI System (LoCUS), King’s College London, London, United Kingdom, 3Department of Electrical and Computer Engineering, Boise State University, Boise, ID, United States

Synopsis

Keywords: New Trajectories & Spatial Encoding Methods, Acquisition Methods, Super-resolution, 3D cones , non-cartesian

Motivation: MRI of tissues with fast signal decay at high resolution is challenging. The COMBINE method uses different signal combinations of RF phase-cycled bSSFP data to increase spatial resolution, though has only been applied to Cartesian trajectories.

Goal(s): We aim to extend COMBINE to non-Cartesian trajectories, giving new opportunities for measuring rapidly decaying signals.

Approach: We implement the COMBINE super-resolution approach with a 3D Cones SSFP acquisition, exploiting additional signal components extracted from RF phase-cycled SSFP datasets.

Results: The proposed COMBINE 3D Cones acquisition gives the ability to resolve finer structures than the nominal acquisition trajectory.

Impact: Non-Cartesian COMBINE opens new avenues for super-resolution UTE imaging and broadening clinical applications.

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