Pierre
you could reslice one set of volumes to the dimension of the other set
(see attached function from Ged Ridgway) - however, I strongly suggest
to reanalyse the data making sure the normalization parameters are the
same. The reason is that by reslicing your contrast images you will end
up interpolating your con values, therefore not reflecting the 'real'
ones ...
Cyril
> Good afternoon,
>
> I have a question concerning the image dimensions in second level analyses (group analyses).
>
> I'm currently trying to run these analyses on images which are coregistered and normalised but have different dimensions (i.e. 79 95 68 for some 91 109 91 for others), and SPM8 can't apparently run t-tests on images which do not have identical dimensions.
>
> Is there a simple way to uniformize the image dimensions (without having to reanalyze the whole set of data)? In other words, is is possible to delete some parts of a contrast image (which do not contain activations) without modifying the dimensions of the brain activations?
>
> Thanks in advance,
>
> Pierre Maurage
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>
>
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