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Abstract #0031

k-t FASTER: Acceleration of fMRI Data Acquisition using Low Rank Constraints

Mark Chiew 1 , Stephen M. Smith 1 , Peter J. Koopmans 1 , Nadine N. Graedel 1 , Thomas Blumensath 1 , and Karla L. Miller 1

1 FMRIB Centre, University of Oxford, Oxford, Oxfordshire, United Kingdom

FMRI data acquisition can benefit from improvements in sampling efficiency to provide richer spatial or temporal information. In this work, we propose a novel mechanism for accelerating FMRI data acquisition by leveraging the intrinsic spatio-temporal structure in FMRI datasets, namely that temporal information is shared across spatial locations. Our method, k-t FASTER (FMRI Accelerated in Space-time via Truncation of Effective Rank), is demonstrated on 4x accelerated data to recover resting state networks without using coil information. We also briefly highlight subsequent improvements using more sophisticated k-space trajectories to achieve up to 8.25x acceleration.

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