Dear Corinna,
you should rather change the voxel size in the NormaliseWrite job section:
jobs{1}.spatial{1}.normalise{1}.write.roptions.vox = [1 1 1];
you will find more examples of SPM5 batch scripts here:
http://www.fil.ion.ucl.ac.uk/spm/data/face_rep/face_rep_spm5_batch.m
Best regards,
Guillaume.
Corinna Vehlow wrote:
> Hello,
>
> I'm using spm5 to transform anatomical and functional data into
> mni/colin space via using the Normalise methods Estimate and Write.
> Actually my focus lies on anatomical data only and I am computing the
> warp-transform in dependency of the anatomical data.
> The output of the Normalise_write method has always a voxel resolution
> of 2x2x2, even if I change the properties in the job-description and set
> vox=[1 1 1]
> jobs{1,1}.util{1,1}.defs.comp{1,1}.comp{1,1}.sn2def.vox = [1 1 1];
> or change the resolution properties in the spm defaults variable
> defaults.normalise.write.vox=[1,1,1];
> the output has a resolution of 2x2x2. Does anybody know how to modify
> the method, or what I need to set or change to get a volume with a
> better resolution. Because 2x2x2 is a horrible resolution for anatomical
> data and I need to inflate and interpolate the volume actually.
>
> Hope anybody can help.
> Thanks
>
> Corinna
>
>
--
Guillaume Flandin, PhD
Wellcome Trust Centre for Neuroimaging
University College London
12 Queen Square
London WC1N 3BG
|