Hi -
I have noticed that while the 'global' normalization for many of my subjects
to the MNI standard brain are good, that particular regions show very poor
local alignment. I had thought that perhaps by including a -refweight volume
biased towards those regions I cared most about, I could improve this issue.
However, including a volume of weights on the reference image doesn't seem to
be changing my normalization much at all. Do these weights only apply to the
initial search algorithm, or to the final affine transformation as well? Any
other suggestions on biasing the normalization for certain regions/voxels?
Please respond directly to me so I don't have to wait to receive the digest to
get your comments =)
thanks,
Ed
--
Ed Vessel
U. of Southern California [log in to unmask]
Dept. of Neuroscience
HNB, 3641 Watt Way http://geon.usc.edu/~vessel
Los Angeles, CA 90089-2520
(213) 740-6102
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