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Prior to distortion correction, the data were motion corrected by image realignment with the reference scan.
Prior to distortion correction, the data was motion corrected by registration to the position of the reference scan.
The dynamic PET images (2 × 2 × 2 mm) were initially motion corrected by rigidly registering each frame to a reference frame (13 15 min p.i). using mutual information and subsequently rigidly transformed into alignment with the MRI and individualized atlas.
The fMRI data for each stimulus condition were first motion corrected by aligning all functional images to the first image, and then coregistered with the T1 anatomical image.
Functional image data were motion corrected by realigning the time sequence imaging to the first image in the middle run of the sequence using SPM99.
The images were motion corrected by realignment to the middle volume of the 4D dataset, smoothed using a 6-mm full-width at half maximum smoothing kernel, and non-linearly registered via the participant's T1-weighted structural image to the MNI-152 template.
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All dynamic scans were motion corrected using frame-by-frame realignment in Piwave 7.0 (in-house software; Imperial College London, London, UK) running in Matlab® (The MathWorks Inc., Natick, MA, USA; Montgomery et al. 2006).
Functional data were motion corrected offline with the Siemens motion correction protocol.
After optimizing a global objective function, the displacement fields are estimated for each volume to correct for motion, then a single volume is constructed by merging each motion corrected volume.
In Fig. 4, 1 Hz motion is corrected by 98.4% which means that the residual sinusoidal motion amplitude from 17.4 arcmin should be 0.28 arcmin (1.6%).
Three-dimensional motion corrected data can be refraction corrected and processed for more accurate biometry measurements unaffected by alignment errors or motion artifacts when acquiring only a single cross-sectional OCT image.
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