Reposting my question: This happens for all the segments that I've tried to extract using mri_extract_label. They all show up as 128 nerve after mri_extract_label. Is this a bug in the dev version?
Any help is greatly appreciated! On Thu, Aug 20, 2015 at 3:45 PM, Priyanka <priyankamehta0...@gmail.com> wrote: > This happens for all the segments that I've tried to extract using > mri_extract_label. They all show up as 128 nerve after mri_extract_label. > Is this a bug in the dev version? > > > > On Aug 20, 2015, at 3:20 PM, Lee Tirrell <ltirr...@nmr.mgh.harvard.edu> > wrote: > > > > It seems that the command: > > > > mri_extract_label lh.hippoSfLabels-T1.v10.mgz 206 lh.CA1.nii > > > > put a value of 128 in lh.CA1.nii for the voxels labeled as 206 in > lh.hippoSfLabels-T1.v10.mgz. You can run: > > > > mri_binarize --replace 128 206 --i lh.CA1.nii --o lh.CA1.nii > > > > and then the correct label names from the Lookup Table will show up. > > > > Best, > > Lee > > > >> On Thu, 20 Aug 2015, Priyanka Mehta wrote: > >> > >> Hi Eugenio > >> Thank you for the explanation, it makes sense to me now. > >> When I use Freeview to overlay my lh.CA1.nii on T1.nii, it aligns > correctly. However, when I view the segmentation > >> with color map set to Lookup Table and 'show existing labels only' > checked, the lh.CA1.nii segment shows as 128 Nerve > >> label. Shouldn't it still be showing up as 206 CA1 label? I am confused. > >> > >> On Wed, Aug 19, 2015 at 5:35 PM, Eugenio Iglesias <e.igles...@bcbl.eu> > wrote: > >> Hi Prya, > >> that is because MriCron is not that great at overlaying images > that are in the same physical space but not > >> in the same voxel space. You have two options here: > >> 1. Use FreeSurfer's Freeview rather than MriCron to visualize the > output. FreeView will correctly overlay > >> the segmentation. > >> 2. Use lh.hippoSfLabels-T1.v10.1mm.mgz (rather than > lh.hippoSfLabels-T1.v10.mgz) when you call > >> mri_extract_label. That volume lives in the same voxel space as > T1.nii, and should be properly overlayed > >> by MriCron. However, the resolution of the segmentation will be 1 > mm, rather than the 0.333 mm that you'd > >> get in option 1. > >> Cheers, > >> Eugenio > >> > >> Juan Eugenio Iglesias > >> Postdoctoral researcher BCBL > >> www.jeiglesias.com > >> www.bcbl.eu > >> > >> Legal disclaimer/Aviso legal/Lege-oharra: > www.bcbl.eu/legal-disclaimer > >> > >> ----- Original Message ----- > >> From: "Priyanka Mehta" <priyankamehta0...@gmail.com> > >> To: "Freesurfer support list" <freesurfer@nmr.mgh.harvard.edu> > >> Sent: Wednesday, August 19, 2015 7:50:12 PM > >> Subject: Re: [Freesurfer] FreeSurfer 6.0 dev version Output > >> > >> Hi > >> > >> This is a follow-up question to my previous problem. > >> After I run recon-all -all -i ${subject}.nii -subject ${subject} > -hippocampal-subfields-T1, I extracted > >> the left CA1 using mri_extract_label lh.hippoSfLabels-T1.v10.mgz > 206 lh.CA1.nii. > >> I used MRICro to overlay this lh.CA1.nii on my T1.nii, however the > alignment is not correct (see attached > >> picture). > >> > >> I wonder what is causing this issue? Since the CA1 was extracted > from the same T1 image, they should > >> technically be in the same space and therefore should align > correctly. > >> > >> Please advise. > >> > >> Thank you, > >> Priyanka > >> > >> On Wed, Jul 29, 2015 at 11:37 AM, Priyanka Mehta < > priyankamehta0...@gmail.com > wrote: > >> > >> Worked! Thank you so much. Really appreciate the prompt response. > >> > >> Best, > >> Priyanka > >> > >> On Wed, Jul 29, 2015 at 11:34 AM, Eugenio Iglesias < > e.igles...@bcbl.eu > wrote: > >> > >> Hi again, > >> instead of: > >> mri_extract_label lh.hippoSfLabels-T1.v10.mgz 206 lh.CA1.mgz > >> your can run: > >> mri_extract_label lh.hippoSfLabels-T1.v10.mgz 206 lh.CA1.nii > >> Cheers, > >> /E > >> > >> Juan Eugenio Iglesias > >> Postdoctoral researcher BCBL > >> www.jeiglesias.com > >> www.bcbl.eu > >> > >> Legal disclaimer/Aviso legal/Lege-oharra: > www.bcbl.eu/legal-disclaimer > >> > >> ----- Original Message ----- > >> From: "Priyanka Mehta" < priyankamehta0...@gmail.com > > >> To: "Freesurfer support list" < freesurfer@nmr.mgh.harvard.edu > > >> Sent: Wednesday, July 29, 2015 11:26:04 AM > >> Subject: Re: [Freesurfer] FreeSurfer 6.0 dev version Output > >> > >> Thanks Eugenio! Thats worked! > >> One more question- how would I convert the lh.CA1.mgz that I get > from the previous step to .nii format? > >> > >> Best, > >> Priyanka > >> > >> On Wed, Jul 29, 2015 at 3:52 AM, Eugenio Iglesias < > e.igles...@bcbl.eu > wrote: > >> > >> Hi Priyanka, > >> > >> you can use mri_extract_label for that. For example, if you are > interested in CA1 (label 206), you can > >> run: > >> > >> mri_extract_label lh.hippoSfLabels-T1.v10.mgz 206 lh.CA1.mgz > >> > >> Cheers, > >> > >> Eugenio > >> > >> Juan Eugenio Iglesias > >> Postdoctoral researcher BCBL > >> www.jeiglesias.com > >> www.bcbl.eu > >> > >> Legal disclaimer/Aviso legal/Lege-oharra: > www.bcbl.eu/legal-disclaimer > >> > >> ----- Original Message ----- > >> From: "Priyanka" < priyankamehta0...@gmail.com > > >> To: freesurfer@nmr.mgh.harvard.edu > >> Sent: Wednesday, July 29, 2015 7:59:37 AM > >> Subject: [Freesurfer] FreeSurfer 6.0 dev version Output > >> > >> Hi, > >> > >> I am new to FreeSurfer and need help with hippocampal segmentation > in the 6.0 dev version. > >> I used the following command: recon-all -i ${subject}.nii -subject > ${subject} -all > >> -hippocampal-subfields-T1. > >> I can also view the segmented hippocampal regions using the > command: freeview -v nu.mgz -v > >> lh.hippoSfLabels-T1.v10.mgz:colormap=lut -v > rh.hippoSfLabels-T1.v10.mgz:colormap=lut. > >> > >> However, is there a way I can get a separate .nii file for each of > my hippocampal subregion? > >> > >> I would really appreciate any help in the matter. > >> > >> Best, > >> Priyanka Mehta > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer@nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> The information in this e-mail is intended only for the person to > whom it is > >> addressed. 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