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Abstract #0947

Improved parallel imaging with N-periodic spatial banding patterns in bSSFP

Zimu Huo1,2, Lorena Garcia-Foncillas1, Krithika Balaji1, Michael Mendoza1, Neal K Bangerter1, and Peter J Lally1
1Imperial College London, London, United Kingdom, 2Univeristy of Cambridge, Cambridge, United Kingdom

Synopsis

Keywords: Parallel Imaging, Parallel Imaging

Motivation: This research explores the potential for temporally varying N-periodic bSSFP banding artifacts as a new dimension alongside coils for parallel imaging.

Goal(s): Our goal is to leverage the temporally varying spatial modulation of a 2-periodic bSSFP acquisition to improve parallel imaging performance over a straightforward bSSFP approach.

Approach: We optimize imaging parameters using computational simulations and validate our methodology through in-vivo experiments in brain.

Results: Our findings demonstrate that the banding artifacts from 2-periodic bSSFP can serve as additional spatial encoding information in parallel imaging applications to reduce scan time.

Impact: Periodically varying bSSFP banding patterns can be exploited to achieve improved parallel imaging performance, creating opportunities for new experimental designs in accelerated imaging.

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Keywords