[Freesurfer] question for preprocessing

2019-06-22 Thread ping cao
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Dear expert,

Thank you for reading!

I want to do these four pre-processing steps:

1. Re-sampling each MR image to 256*256*256;
2. Using the N3 algorithm for intensity inhomogeneity correction;

3. Skull stripping;

4. Removing the cerebellum.

Does " *recon-all"*  do all the above 4 steps automatically? If so, which
file is just finished with these four steps? If not, how can I do these
steps?

Your help is greatly appreciated.


Best,
ping
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Re: [Freesurfer] question for preprocessing

2019-06-23 Thread ping cao
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Thank you for your reply.
I also want to know which file has just finished with 1-3 steps?
Is it nu.mgz? Or nu.mgz?

*T1.mgz*   aseg.presurf.mgz
> aparc+aseg.mgz brain.finalsurfs.mgz* 
> norm.mgz
>  *

aparc.DKTatlas+aseg.mgz *brain.mgz  *
> *nu.mgz*aparc.a2009s+aseg.mgz
> brainmask.auto.mgz

aseg.auto.mgzbrainmask.mgz
> *orig.mgz * ctrl_pts.mgz
>*orig_nu.mgz  *

wm.asegedit.mgzaseg.auto_noCCseg.mgz   filled.mgz
>   rawavg.mgz wm.mgz

aseg.mgzlh.ribbon.mgz
>rh.ribbon.mgz wm.seg.mgz
>   aseg.presurf.hypos.mgz

ribbon.mgz   wmparc.mgz


Best,
ping

Greve, Douglas N.,Ph.D.  于2019年6月23日周日 下午9:35写道:

> It does 1-3. It also labels cerebellum which you could then use to perform
> #4
>
> On 6/23/2019 7:03 AM, ping cao wrote:
>
> External Email - Use Caution
> Dear expert,
>
> Thank you for reading!
>
> I want to do these four pre-processing steps:
>
> 1. Re-sampling each MR image to 256*256*256;
> 2. Using the N3 algorithm for intensity inhomogeneity correction;
>
> 3. Skull stripping;
>
> 4. Removing the cerebellum.
>
> Does " *recon-all"*  do all the above 4 steps automatically? If so, which
> file is just finished with these four steps? If not, how can I do these
> steps?
>
> Your help is greatly appreciated.
>
>
> Best,
> ping
>
> ___
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>
>
> ___
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[Freesurfer] question for files recon-all generated

2019-07-16 Thread ping cao
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Dear expert,

 I want to know if the *norm.mgz* is already linearly registered? And is
the *T1.mgz *not linearly registered?  They are all generated from
*recon-all. *
Is there any file non-linearly registered?

Best wishes,
ping
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[Freesurfer] how to get the displacement from template to the linearly registered image

2019-08-28 Thread ping cao
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Dear expert,

I saw a paper mentioned this :

By using the  *deformation field*  from nonlinear registration, we can
> build the correspondence between voxels in the template and each
> linearly-aligned image. For instance, for each voxel (x, y, z) in the
> template image, we can find its corresponding voxel (x + dx, y + dy, z +
> dz) in each linearly-aligned image, where (dx, dy, dz) is the
> *displacement* from the template image to the linearly-aligned image
> defined by the deformation field.



So, I want to get the deformation field from the template to the linearly
registered image(flirt_T1).

Can Freesurfer do this?  Which file is a linearly registered image that
does not contain an affine transformation? How can I get this deformation
field?


Your help is greatly appreciated.


Best,
ping
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Re: [Freesurfer] how to get the displacement from template to the linearly registered image

2019-08-29 Thread ping cao
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Dear Tim,

Thank you for your reply!
1) I want the the deformation field is the displacement  from the template
image to the linearly-aligned image defined.
2) I just use the recon-all to generate the file.
3) What I want is to first linearly register to template to obtain a
linearly registered image, and then perform nonlinear registration to
obtain the deformation field  from the origin image  to the template.

I don't know which image is linearly registered in freesurfer, which one is
after nonlinear registration, and the deformation field file is
128*128*128*3, I can't think of it as displacement I want .

Best,
ping

Tim Schäfer  于2019年8月28日周三 下午4:30写道:

> External Email - Use Caution
>
> Could you explain what you are trying to achieve and which transformation
> you are referring to? I don't get:
> 1) what are the input and output files of the registration for which you
> want the deformation field?
> 2) What command did you use to perform the registration?
> 3) Is it linear or nonlinear?
>
> (The file /mri/transforms/talairach.m3z stores a transformation
> field of a nonlinear registration, but I'm not sure whether it is what you
> want.)
>
> I find the quoted part a bit confusing (but that may just be me). The
> first sentence talks about nonlinear registration, and the others talk
> about linear registration -- but still mention a deformation field. Maybe
> some more context would help.
>
> For a linear registration, an affine matrix should be all you need.
>
>
> Tim
>
> > On August 28, 2019 at 9:55 AM ping cao  wrote:
> >
> >
> > External Email - Use Caution
> >
> > Dear expert,
> >
> > I saw a paper mentioned this :
> >
> > By using the  *deformation field*  from nonlinear registration, we can
> > > build the correspondence between voxels in the template and each
> > > linearly-aligned image. For instance, for each voxel (x, y, z) in the
> > > template image, we can find its corresponding voxel (x + dx, y + dy, z
> +
> > > dz) in each linearly-aligned image, where (dx, dy, dz) is the
> > > *displacement* from the template image to the linearly-aligned image
> > > defined by the deformation field.
> >
> >
> >
> > So, I want to get the deformation field from the template to the linearly
> > registered image(flirt_T1).
> >
> > Can Freesurfer do this?  Which file is a linearly registered image that
> > does not contain an affine transformation? How can I get this deformation
> > field?
> >
> >
> > Your help is greatly appreciated.
> >
> >
> > Best,
> > ping
> > ___
> > Freesurfer mailing list
> > Freesurfer@nmr.mgh.harvard.edu
> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>
> --
> Dr. Tim Schäfer
> Postdoc Computational Neuroimaging
> Forschung - Klinische Bildgebung
> Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und
> Jugendalters
> Universitätsklinikum Frankfurt / Haus 93, Raum A 305
> Deutschordenstr. 50, 60528 Frankfurt am Main
> Tel.: +49 (0)69 6301 85832
>
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