Sentence examples for timing correction from inspiring English sources

The functional time series underwent slice timing correction, spatial smoothing, global intensity scaling, and normalization to a standardized brain template.

All remaining functional images were subjected to a number of preprocessing steps: 1) motion correction, 2) slice timing correction 3) linear trend removal using a high pass filter and 4) transformation of the functional data into Talairach coordinate space [32].

No slice timing correction was applied.

Spatial smoothing using a full-width half-maximum Gaussian kernel of 8 mm, interleaved slice timing correction, and high-pass temporal filtering (100 seconds) were performed using FMRI Expert Analysis Tool FEATT) version 5.98 (http://www.fmrib.ox.ac.uk/fsl).ac.uk/fsl

The rsfMRI data were preprocessed using the Neuroimaging Analysis Kit (NIAK) (Bellec et al., 2010, 2012), to perform slice timing correction, rigid body motion correction, and removal of slow temporal drift using a high-pass filter with 0.01 Hz cut-off (Perlbarg et al., 2007).

Standard preprocessing of rsfMRI data included (1) discarding the first four volumes of each run to ascertain T1-equilibrium, (2) slice timing correction, (3) head motion correction with FSL, 29 (4) removal of constant offset and linear trend per run, (5) low-pass filtering below 0.08 Hz, (6) regressing out of six motion parameters, average signal of the whole brain, ventricles, and white matter.

Pre-processing involved at first, slice-timing correction to correct differences in image acquisition time between slices.

Our findings suggest that slice-timing correction should be included in the fMRI pre-processing pipeline.

Preprocessing steps were conducted in FSL (http://www.ndcn.ox.ac.uk/divisions/fmrib) and include: slice-timing correction, head motion correction and spatial smoothing (Gaussian kernel, FWHM = 5 mm).

Brain extraction, affine registration to the subject's anatomical image, motion correction, and slice-timing correction were performed using FSL FMRIBB Software Library, FMRIB Centre, University of Oxford, UK).

Preprocessing steps included temporal high-pass filtering (1/128 Hz), rigid-body motion correction and slice-timing correction (middle reference slice).