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Four clinical cases with multimodality images under affine transformation were registered.
Using rigid body and affine transformation, the individual maps were registered into Talairach standard space (33).
In a second step, the brainstem contours of both series of sections were registered using affine transformations: brainstem contours from Luxol-stained images were registered on a section-by-section basis onto the contours of Fos-immunolabeled sections.
The first and third images were registered (rigid-body transformation; 6 degrees of freedom; trilinear interpolation) to the second image to correct for movement between acquisitions and summed to create a single T1-weighted image in each participant.
Applying a probabilistic framework, images were registered using linear (12-parameter affine) and non-linear transformations (warping), tissue classified, and bias corrected within the same generative model [22].
Structural data were registered to Montreal Neuroimaging Institute MNII) space and the resulting transformation matrix was applied to the fMRI data.
CT scans were registered to postoperative MRI scans using a 6-parameter rigid transformation, and postoperative MRI scans were then registered with preoperative scans using a nonlinear grid-based transformation (Papademetris et al. 2004) to account for the distortion of the brain that occurs as a result of the craniotomy.
The T1W images were registered to the above template image by using 12 degrees of freedom affine transformation.
Following splenectomy, a higher rate of blast transformation has also been registered in one study, although this was not confirmed by others.
In coarse registration, the scale-invariant feature transform algorithm is used to match control points to estimate the initial global transformation parameters between images to be registered.
And then, the unregistered image is registered using this transformation.
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