Dear all,
I was hoping that someone can point me to some solution with a problem I
am having with normalization.
I have acquired oblique, partial brain functionals and anatomicals in
the same position like the functionals. The functionals have a 224 fov
(2.3x2.3x2.3mm), while the anatomicals 220 (0.859x0.859x2.3). I am able
to properly coregister the functionals to the anatomicals and I then use
the anatomical to estimate the parameters for normalization. After
normalization however, the output images (w*) have been changed and have
become much bigger. The original images started at about the level of
the ac and the normalized images cover the whole prefrontal cortex and
the superior portion of the cerebellum and appear deformed somewhat at
the inferior-posterior portion.
My question, is there any way I can achieve better normalization than
that? I have tried different interpolation degrees and different
estimation approaches and I have even created a weighted template image
to account for the fact that I am not imaging the whole brain (0 for the
voxels not included). The results are the same. Is there any way I can
achieve better normalization than this?
Any help will be very much appreciated.
Thanks,
Marina
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