Sentence examples for template and spatial from inspiring English sources

The preprocessing steps applied for this study were motion correction, spatial normalization to standard template and spatial smoothing as implemented in SPM5.

Preprocessing consisted of spatial realignment and normalization to a standard EPI template, and spatial smoothing (8-mm kernel).

Data pre-processing included the standard procedures of realignment, normalisation to the MNI single subject template and spatial smoothing (FWHM = 8 mm).

Preprocessing steps applied for functional (EPI) scans included: realignment, slice-time correction, motion correction, normalization to 2 × 2 × 3 voxel resolution using Montreal Neurological Institute (MNI) template and spatial smoothing with a full-width at half-maximum = 6 mm kernel.

These normalized images were segmented again using the MNI305 template and spatial priors, and averages of the 51 T1 images, as well as corresponding GM, white matter and CSF averages from the segmentation output.

Pre-processing of each data set included the standard procedures of realignment, normalisation to the MNI single subject template [76] and spatial smoothing with an 8 mm FWHM Gaussian kernel.

The remaining 230 images were preprocessed, which included slice timing, motion correction, coregistration to the structural data, spatial normalization to the MNI Montreal Neurological Institutee) template image, and spatial resampling (3 × 3 × 3 mm).

To preserve the details of the multivoxels patterns, we applied subject-to-template normalization and spatial smoothing to our functional images only after the first-level statistic stage for our multivariate analyses.

Preprocessing included realignment, spatial normaliziation to the EPI-template (2×2×2 mm) and spatial smoothing (8 mm).

Preprocessing comprised within-subject realignment, spatial normalization of images to a template in standard space, and spatial smoothing using an 8-mm Gaussian kernel.

Our method offers the following improvements over existing approaches: accurate detection of the ideal midline, ventricle recognition using both anatomical features and spatial templates derived from MRI images.