Sentence examples for correct for movement from inspiring English sources

At first, all scans were realigned to one mean image, which had been obtained across all conditions, to correct for movement artifacts.

Although a six-parameter affine transform was used to correct for movement during preprocessing, it was conceivable that a residual influence might bias the GLM estimates if movement happened to be correlated with trial-by-trial variation in RT.

Once raw data were processed to correct for movement and drifts, in both fluorescence and white light mode, 3D reconstructions were calculated by sequentially stacking 2D slices reconstructed using a filtered back-projection algorithm with a Hann-Filter implemented together with an inverse Radon-transform [20].

To correct for movement of regions of interest due to root growth, images were registered using the MultiStackReg v1.4 plug-in (Thevenaz et al., 1998, modified by Brad Busse).

All images were realigned to the first to correct for movement, spatially normalized to standard space (Montreal Neurological Institute) and smoothed with a Gaussian kernel of full width at half maximum 7 × 7 × 10 mm.

EPI volumes were spatially realigned to correct for movement artifacts, normalized to the Montreal Neurological Institute MNII) standard space (Ashburner and Friston 2003a; Ashburner and Friston 2003b) and smoothed using an 8-mm Gaussian kernel.

These parameters were obtained during motion correction and were used to correct for movement-related artifacts that were not eliminated during realignment.

Images were unwarped to correct for movement-by-distortion interactions, spatially normalized to a standard EPI template, spatially smoothed using a Gaussian kernel with a full width at half maximum (FWHM) of 4 mm, temporally high-pass filtered (cutoff = 128 s) and corrected for temporal autocorrelations using first-order autoregressive modeling.

Preprocessing of DW images involved realigning all the DW volumes to the b0 to correct for movements and for eddy currents.

First, functional data were corrected for movement artifacts.

The fMRI time series was corrected for movement artifacts and unwarped in SPM8.