Dear All,
I posted this question some weeks ago and thought I would receive an
instantaneous "this is so easy" reply, but have instead heard nothing
back at all. This means I am either underestimating the complexity or
that it really is embarrassingly simple. If the latter, I would be happy
to have my ignorance exposed in exchange for an answer, so if anyone has
a pointer... thanks a bunch.
I would like to use an inverse deformation approach to de-normalize some
data from standard space to individual space. This works well using a
segmentation approach, yielding deformation fields that I can then use
to this effect.
However, for a specific reason I am also interested in a different
approach, namely to just derive affine transformation parameters with,
say, spm_maff8. Is there an easy way to invert and convert this
information to a deformation field that can then be used instead? I can
likely achieve something similar by setting the warping regularization
to [Inf Inf Inf Inf Inf] but of course the spm_maff8 approach would be
both cleaner and quicker.
If anyone has already done this, any hints and input would be appreciated.
Thanks,
Marko
--
____________________________________________________
PD Dr. med. Marko Wilke
Facharzt für Kinder- und Jugendmedizin
Leiter, Experimentelle Pädiatrische Neurobildgebung
Universitäts-Kinderklinik
Abt. III (Neuropädiatrie)
Marko Wilke, MD, PhD
Pediatrician
Head, Experimental Pediatric Neuroimaging
University Children's Hospital
Dept. III (Pediatric Neurology)
Hoppe-Seyler-Str. 1
D - 72076 Tübingen, Germany
Tel. +49 7071 29-83416
Fax +49 7071 29-5473
[log in to unmask]
http://www.medizin.uni-tuebingen.de/kinder/epn/
____________________________________________________
|