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k-t FASTER: Acceleration of functional MRI data acquisition using low rank constraints.

Abstract:

PURPOSE:

In functional MRI (fMRI), faster sampling of data can provide richer temporal information and increase temporal degrees of freedom. However, acceleration is generally performed on a volume-by-volume basis, without consideration of the intrinsic spatio-temporal data structure. We present a novel method for accelerating fMRI data acquisition, k-t FASTER (FMRI Accelerated in Space-time via Truncation of Effective Rank), which exploits the low-rank structure of fMRI data.

THEORY AND METHODS:

Using matrix completion, 4.27× retrospectively and prospectively under-sampled data were reconstructed (coil-independently) using an iterative nonlinear algorithm, and compared with several different reconstruction strategies. Matrix reconstruction error was evaluated; a dual regression analysis was performed to determine fidelity of recovered fMRI resting state networks (RSNs).

RESULTS:

The retrospective sampling data showed that k-t FASTER produced the lowest error, approximately 3-4%, and the highest quality RSNs. These results were validated in prospectively under-sampled experiments, with k-t FASTER producing better identification of RSNs than fully sampled acquisitions of the same duration.

CONCLUSION:

With k-t FASTER, incoherently under-sampled fMRI data can be robustly recovered using only rank constraints. This technique can be used to improve the speed of fMRI sampling, particularly for multivariate analyses such as temporal independent component analysis.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/mrm.25395

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author


Publisher:
Wiley
Journal:
Magnetic Resonance in Medicine More from this journal
Volume:
74
Issue:
2
Pages:
353–364
Publication date:
2015-08-01
DOI:
EISSN:
1522-2594
ISSN:
0740-3194


Language:
English
Keywords:
Pubs id:
pubs:483454
UUID:
uuid:fcafd0f1-2499-4af2-a660-5cdd1a580cf6
Local pid:
pubs:483454
Source identifiers:
483454
Deposit date:
2014-09-11
ARK identifier:

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