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That's correct.  The "imported" images are rigidly transformed to be as
close to the MNI space as a rigid transform will allow.  This is determined
by a Procrustes analysis ( https://en.wikipedia.org/wiki/Procrustes_analysis
) of the nonlinear deformations, weighted by the grey matter.

Brains in MNI space are a bigger than any typical brain, so the imported
images will all appear smaller by comparison.

Best regards,
-John


On 22 March 2017 at 14:18, michel grothe <[log in to unmask]> wrote:

> Hi Luca,
>
>
> to my understanding the imported images are only rigidly transformed, so
> the size of the brain should not change compared to the original native
> space scan (and would be expected to be smaller compared to the MNI space
> TPMs).
>
>
> Best,
>
> Michel
>
>
> ------------------------------
> *Von:* SPM (Statistical Parametric Mapping) <[log in to unmask]> im
> Auftrag von PRESOTTO LUCA <[log in to unmask]>
> *Gesendet:* Mittwoch, 22. März 2017 14:51
> *An:* [log in to unmask]
> *Betreff:* [SPM] R: [SPM] How should rc* images look like?
>
>
> Thank you for your answer!
>
> I was referring to the x,y,z dimension. I mean that the brain is smaller.
> I attach a picture of 5 rc images compared with a contour drawn on the gray
> matter TPM.  The segmentation for each subject looks perfectly fine. The
> starting MRI scans are all 3D T1 volumetric scans (1 mm  isotropic voxel)
> acquired on different scanners with different field strengths (these are
> scans downloaded from the ADNI database).
>
>
>
> Best Regards,
>
> Luca
>
>
>
> *Da:* John Ashburner [mailto:[log in to unmask]]
> *Inviato:* mercoledì 22 marzo 2017 14:26
> *A:* PRESOTTO LUCA <[log in to unmask]>
> *Cc:* [log in to unmask]
> *Oggetto:* Re: [SPM] How should rc* images look like?
>
>
>
> When you say "all my images are significantly smaller than the TPM", are
> you referring to the size of the files or the actual dimensions of the
> images?  The "imported" rc files should be smaller in size, but their x, y
> and z dimensions should be the same as those of the TPM.nii.  The reason
> for this is that the TPM encodes more than just a single tissue class.
>
> Best regards,
>
> -John
>
>
>
> On 22 March 2017 at 12:42, PRESOTTO LUCA <[log in to unmask]> wrote:
>
> Dear experts,
>
> I'm trying to use dartel  for my first time. After reading the manual and
> a number of tutorials from google I've used segment on a bunch of t1 images
> and I've set the algorithm to save also "dartel imported" images. It is my
> understanding from what I've read that rc images are the same maps from the
> segmentation, with only the affine transformation, as determined before the
> beginning of the segmentation, applied. Is my understanding correct? If so
> I'd expect them all to be around the same size of the tpm, just not of the
> correct shape. Instead, all my images are significantly smaller than the
> TPM. Am I missing something?
>
> Thank you!
>
> Luca
>
>
>
>
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>
>