Hi Cyril,
there are sometimes very strange rounding errors in spatial transformation
matrices... If you are sure your images have identical dimensions, voxel
sizes and orientations, you should try to set their spatial information to
that of the 1st image using something like:
P=cellstr(spm_select);
M = spm_get_space(P{1});
for k = 1:numel(P)
spm_get_space(P{k},M);
end;
Volkmar
On Thu, 30 Aug 2007, cyril pernet wrote:
> Hi there,
>
> while loading a set of EPI images for a 1st level analysis I got a 'funny'
> error using ==> spm_check_orientations at 32
> for sure my images are correct, using a loop across my images with V.dim(1)
> == V.dim(i) I got my sum = all my images, ie all dimensions are equals, but
> still spm_check_orientations gives me an error ; note they are also all well
> oriented (spm_orientation ok).
>
> the only remaining thing is that reshape(cat(3,V.mat),[16,numel(V)]) is
>> 1e-4 but I have no idea why this limit ??
> any help would be greatly appreciated
>
> cyril
>
>
--
Volkmar Glauche
-
Department of Neurology [log in to unmask]
Universitaetsklinikum Freiburg Phone 49(0)761-270-5331
Breisacher Str. 64 Fax 49(0)761-270-5416
79106 Freiburg http://fbi.uniklinik-freiburg.de/
