Dear Siamak,
I'not sure I get you but reversing the spatial normalisation process in
SPM5 when performed through the SEGMENTATION module (Unified
Segmentation, Ashburner and Friston 2005) is also very easy - just apply
the inv_sn.mat file.
You could also register from one single image to another via NORMALISE
(or some fudge with SEGMENT).
Good luck,
A
-----Original Message-----
From: SPM (Statistical Parametric Mapping) [mailto:[log in to unmask]]
On Behalf Of siamak
Sent: 10 December 2008 15:41
To: [log in to unmask]
Subject: Re: [SPM] nonrigid image transforming
Dear Alexander,
Thanks for your reply. Actually, I am doing the reverse process. I am
testing
some registration methods and I need some nonrigidly transformed images
to
apply to my registration pipeline. I want only to measure the degree of
registration improvement by some simple metrics such as mutual
information.
First, I used brainweb with RF nonlinearity and noise, but, RF
nonlinearity is a
kind of intensity nonlinearity and I think is not suitable to test a
registration
algorithm (Am I right?). So, I need to have a sample image and
nonrigidly
transformed version (spatially nonuniformed) of it to test my algorithm.
Best,
Siamak
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