… aspect of fMRI image analysis [12]. The … image registration program 3dQwarp, and an
improvement in terms of both the parallel efficiency of the code and the fidelity of the warped image…

… The advances of image processing frameworks allow not only a more accurate … circuits,
whilst functional Magnetic Resonance Imaging (fMRI) has been used to understand the intrinsic …

… available AFNI toolbox (Cox, 1996), to create full processing pipelines across this wide
FMRI … The quality of nonlinear warping results using 3dQwarp (which also underlies @SSwarper, …

… FNIRT and AFNI’s 3dQwarp differ in their specific approaches to non-linear registration. FSL’…
as well as deep learning-based medical image registration were considered for use in this …

… Mutual information is often used to assess multi-modal brain image registration 54 , and should
… The second (SE 3dQwarp) condition used AFNI’s 3dQwarp as described above to apply …

… AFNI's 3dQwarp, both the AP and PA scans were independently masked using AFNI's
3dAutomask to remove nonbrain image … compensation was calculated using 3dQwarp with the -…

… For example, image registration is driven by a quantitative cost function, but then separate
assessment is needed to verify that tissue boundaries and sulcal and gyral patterns appear to …

… (for example, using FSL's topup or AFNI's 3dQwarp algorithms) require the collection of …
], its ability to act as an image processing intermediate, or a substrate for distortion correction…

… throughout any single subject processing pipeline, both quantitatively and qualitatively.
We present several FMRI preprocessing QC features available in the AFNI toolbox, many of …

… The detailed AFNI processing for individual subjects was somewhat different than in ENK16…
, AnatICOR for denoising, and 3dQwarp for nonlinear registration; see Supplementary Data (…