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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