cool. sorry about that -- we are thinking on the appropriate "global" resolution... probably nuking header completely, besides qform/sform information is the way to go....
for now, just set scl_slope to 1 and scl_inter to 0 in the dataset.niftihdr prior map2nifti call dataset.niftihdr['scl_slope'] = 1. dataset.niftihdr['scl_inter'] = 0. and then proceed with map2nifti On Wed, 02 Mar 2011, Nynke van der Laan wrote: > Dear Yaroslav, > you are right: both have value 1,2222 as scl_slope!! > How can I prevent this bias caused by the Map2Nifti? Is it possible to > change the value to 1 in the Map2Nifti in order to copy the exact > results from the sl_map to the resulting nifti?? > Best, Nynke > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa -- =------------------------------------------------------------------= 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
