Well, I opened some images with MRICro, and the scaling parameters are setted like first one (17.0, 19.0) and also with SPM and Matlab I have for each image the same values.
Probably the Nifti-Python library store only the first image value for all the others, but practically I'm sure that my data are managed correctly! :) RG 2011/3/29 Yaroslav Halchenko <[email protected]> > interesting how come they got different scaling parameters... I assume > if prior conversion/preprocessing was somewhat uniform they all should > have had either set them to some values (like the 1st one) or just to 0 > (like the rest). probably all others were simply resliced into the > first one ;) > > and each image corresponds just to a single volume, thus not to a > "chunk" thus previously you had 0th sample as an outlier -- its values > were not scaled properly upon providing its NiftiImage into > NiftiDataset. now things should be better (I hope ;) ) > > > On Tue, 29 Mar 2011, Roberto Guidotti wrote: > > > I'm so interested in the discussion, I hope you are not bored!! ;) > > The output of line code you post is: > > 17.0 19.0 > > 0.0 0.0 > > 0.0 0.0 > > [and other couple of zeros!!] > > So I open file as NiftiImage and append every *.img in a list and then > > load into a NiftiDataset!!! > > RG > -- > =------------------------------------------------------------------= > 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 >
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