Image Distortion Correction in fMRI: A Quantitative Evaluation

By Chloe Hutton, A. Bork, Oliver Josephs, Ralf Deichmann, John Ashburner, Robert Turner. NeuroImage, 2002

723 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/2e7e4aa5c4e9d52d1b0f8c5d981de1ecda160611

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Citations in the corpus

Using high-resolution quantitative mapping of R1 as an index of cortical myelination (2014, positive): “The remaining geometric distortions are corrected at the post-processing stage using a wellestablished procedure extensively used for fMRI acquisitions (Hutton et al., 2002; Lutti et al., 2010).”
Increased sensitivity in neuroimaging analyses using robust regression (2005, background): “They are greater at the edges of the brain and around fluid space because magnetic field homogeneity is most sensitive to perturbations in these regions and because voxels are shifted in and out of fluid spaces with head motion (Hutton et al., 2002; Ward et al., 2002; Wu et al., 1997).”
Handbook of Functional MRI Data Analysis: Index (2011, methodology): “One way to address this is to apply some form of low-pass filtering (or smoothing ) to the field maps, which reduces errors in the unwarped images (Hutton et al., 2002).”
Behavioral / Systems / Cognitive Striatal Prediction Error Modulates Cortical Coupling (2010, neutral): “A combined approach was used that corrects for both static distortions and changes in these distortions attributable to head motion (Andersson et al., 2001; Hutton et al., 2002).”
Subcortical processes of motor response inhibition during a stop signal task (2008, background): “Images of each individual subject were first corrected for slice timing, realigned (motion-corrected) and unwarped (Andersson et al., 2001; Hutton et al., 2002).”
Optimal EPI parameters for reduction of susceptibility-induced BOLD sensitivity losses: A whole-brain analysis at 3 T and 1.5 T (2006, methodology): “While the image distortions may be corrected by various on-line and off-line methods (e.g., Andersson et al., 2001; Bowtell et al., 1994; Hutton et al., 2002; Jezzard and Balaban, 1995; Sutton et al., 2004; Weiskopf et al., 2005b; Zaitsev et al., 2004), signal dropouts have often compromised fMRI…”
Characterizing brain anatomical connections using diffusion weighted MRI and graph theory (2007, methodology): “The DW-MRI images were attempted to be corrected from EPI distortions using the SPM FieldMap toolbox (Hutton et al., 2002).”
Optimized EPI for fMRI studies of the orbitofrontal cortex (2003, methodology): “Image distortions may be corrected by methods based on the acquisition of magnetic field maps (Weisskoff and Davis, 1992; Bowtell et al., 1994; Jezzard and Balaban, 1995; Hutton et al., 2002 ).”
Studying the human brain anatomical network via diffusion-weighted MRI and Graph Theory (2008, methodology): “The DW-MRI images were corrected from EPI distortions using the SPM FieldMap toolbox (Hutton et al., 2002).”
Statistical Improvements in Functional Magnetic Resonance Imaging Analyses Produced by Censoring High-Motion Data Points (2013, background): “…in functional magnetic resonance imaging (fMRI) studies [Barch et al., 1999; Birn et al., 1998, 1999, 2004; Friston et al., 1996; Gopinath et al., 2009; Hutton et al., 2002; Jiang et al., 1995; Johnstone et al., 2006; Lemieux et al., 2007; Oakes et al., 2005; Wu et al., 1997; Yetkin et al., 1996].”
How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging (2003, methodology): “Hence, it might be of interest as an alternative to dual echo-time measurements for finding either the “static” field map (Jezzard and Balaban, 1995) or the temporal (due to subject movement) development of the field (Hutton et al., 2002).”
Awake reactivation of emotional memory traces through hippocampal-neocortical interactions (2016, methodology): “inhomogeneity, and interactions between these, we used an integrated fieldmap-based unwarp/realign method (Hutton et al., 2002).”
Go and no-go learning in reward and punishment: Interactions between affect and effect (2012, methodology): “Using the FieldMap toolbox (Hutton et al., 2002) field maps were estimated from the phase difference between the images acquired at the short and long TE.”
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion (2011, neutral): “Instead, it is far more likely that movement disrupts magnetic gradient establishment or BOLD signal readout (Hutton et al., 2002), that many slices or entire volumes of data have been contaminatedwith artifact during periods of movement, and that this contamination has not been completely removed…”