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All participants' FA data were then aligned into a common space using the nonlinear registration tool FNIRT.
All subjects' FA data were aligned into a common space using the nonlinear registration tool FNIRT, which uses a b-spline representation of the registration warp field [17].
Reconstructed PET images were registered to each animal's MR image, and the animal's MR image was then normalized to a MRI atlas using the nonlinear registration algorithm in BioImage Suite 3.01.
In order to reduce the possible errors arising from misalignment of images, we used the TBSS [13] method: All subjects' FA data were aligned into a common space derived from 58 high-resolution FA images of healthy subjects, using the nonlinear registration tool FNIRT.
FA data were aligned into the FMRIB58_FA image in Montreal Neurological Institute-152 (MNI152) standard space [31], [55], [56] using the nonlinear registration IRTK [57].
All subjects' FA data were then aligned into a common space using the nonlinear registration tool FNIRT.
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This package uses the nonlinear registration and gray matter segmentation processes performed through SPM5 subroutines.
This included tissue segmentation into gray matter (GM) and white matter (WM) maps, then registration using the nonlinear DARTEL algorithm 21 to Montreal Neurological Institute space and resampling with a 4mm smoothing kernel.
Furthermore, the nonlinear registration matches examinations with shape change as well as volume loss.
The parameters from the nonlinear registration were then applied to the diffusion indices, including MD/LD/RD [ 16, 17].
These individually aligned FA maps were subsequently averaged to create an intermediate FA template (12 degrees of freedom) for the final alignment of the FA maps using FNIRT nonlinear registration.
More suggestions(15)
using the nonlinear slab
using the nonlinear curve
using the nonlinear pushover
using the nonlinear parameter
using the nonlinear ring
using the nonlinear modulation
using the nonlinear warping
using the nonlinear fiber
using the nonlinear correlation
using the nonlinear model
using the nonlinear network
using the nonlinear optimization
using the nonlinear alternative
using the nonlinear strain displacement
using the nonlinear scalarization
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