Dear John,
a couple of weeks ago, you gave some references on animal studies
implementing SPM2 for DBM. I have tried some things, but I am not quite
happy yet. I followed the easy fix in:
http://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind02&L=SPM&P=R96333&I=-3&X=401D290F7DF34680BA&Y=spm%40fil.ion.ucl.ac.uk
which a sort of works with 4mm smoothing and changing the bounding box to
[-128 127] [-128 127] [-163 162] (as our current template has a matrix of
256x256x326). However I changed the header to show a lower resolution as it
is in reality. I would like to keep as much resolution as possible. Our
template will have about 60 microns cubed, maybe better, before smoothing.
What would be a reasonable smoothing kernel size? Where can I actually
optimize the code to sample more densily?
I tried some hints previously discussed
(http://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind04&L=SPM&P=R350007&I=-3&X=646FB73C8D982008F1&Y=spm%40fil.ion.ucl.ac.uk),
but either there is not enough overlap, or MATLAB is running out of memory.
In another trial, I got a very tiny pixely image with lots of background,
and SPM gave a message that no nonlinear warping was perfomed, but just linear.
By the way, could I also use SPM5 to do DBM? I could not find a toolbox.
Thanks very much for your help and effort.
Regards,
Torsten
|