Optimizing RetroICor and RetroKCor corrections for multi-shot 3D FMRI acquisitions

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Tijssen, Rob H. N., Jenkinson, Mark, Brooks, Jonathan C. W. ORCID: https://orcid.org/0000-0003-3335-6209, Jezzard, Peter and Miller, Karla L. (2014) Optimizing RetroICor and RetroKCor corrections for multi-shot 3D FMRI acquisitions. NeuroImage, 84. pp. 394-405. ISSN 1053-8119

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Abstract

Physiological noise, if unaccounted for, can drastically reduce the statistical significance of detected activation in FMRI. In this paper, we systematically optimize physiological noise regressions for multi-shot 3D FMRI data. First, we investigate whether 3D FMRI data are best corrected in image space (RetroICor) or k-space (RetroKCor), in which each k-space segment can be assigned its unique physiological phase. In addition, the optimal regressor set is determined using the Bayesian Information Criterion (BIC) for a variety of 3D acquisitions corresponding to different image contrasts and k-space readouts.Our simulations and experiments indicate that: (a) k-space corrections are more robust when performed on real/imaginary than magnitude/phase data; (b) k-space corrections do not outperform image-space corrections, despite the ability to synchronize physiological phase to acquisition time more accurately; and (c) the optimal model varied considerably between the various acquisition techniques. These results suggest the use of a tailored set of volume-wide regressors, determined by BIC or other selection criteria, that achieves optimal balance between variance reduction and potential over-fitting.

Item Type: Article
Uncontrolled Keywords: 3d epi,brainstem,functional mri,gre,physiological noise,spgr,ssfp,neurology,cognitive neuroscience ,/dk/atira/pure/subjectarea/asjc/2800/2808
Faculty \ School: Faculty of Social Sciences > School of Psychology
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Depositing User: LivePure Connector
Date Deposited: 07 Sep 2022 11:31
Last Modified: 21 Oct 2022 01:35
URI: https://ueaeprints.uea.ac.uk/id/eprint/87794
DOI: 10.1016/j.neuroimage.2013.08.062

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