there are sometimes rounding errors in spatial transformations where they
should not be. If you are sure that your images are in register, you can
work around this by using spm_get_space.
On Thu, 6 Sep 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 reshape(cat(3,V.mat),[16,numel(V)]) is > 1e-4
> and this is where spm_check_orientations crashes but I have no idea why this
> limit ??
> any help would be greatly appreciated
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