On Wed, 02 Mar 2011, Nynke van der Laan wrote:
> dataset.map2Nifti(sl_map).save('filename.nii.gz'). When I open this
> nifti in MRIcron than the distribution suddenly is totally different
> (as I reported earlier: the histogram with a peak at 0.6).could be effect of having scl_slope (e.g. = 1.2) defined in the original nifti and propagated into the saved map, which had values with peak at 0.5. Since MRIcron probably takes care about scaling data appropriately -- 0.5 would become 0.6. Please inspect nifti header of both files for scl_slope values with the tool of your preference. or within PyMVPA print dataset.niftihdr['scl_slope'] print dataset.map2Nifti(dataset.samples).header['scl_slope'] =------------------------------------------------------------------= Keep in touch www.onerussian.com Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
