External Email - Use Caution        

Hi Mark,
Even if the freesurfer recon-all stream images are 256^3, they are still in the 
same physical RAS space as the input. No need to worry about that.
I don’t know how FSLview handles orientation / RAS coordinates; I encourage you 
to use FreeSurfer’s Freeview instead.
Regarding the diffusion data registration: Anastasia Yendiki is a much better 
person than me to answer that ;-)
Cheers,
/Eugenio


--
Juan Eugenio Iglesias
ERC Senior Research Fellow
Translational Imaging Group
University College London
http://www.jeiglesias.com
http://cmictig.cs.ucl.ac.uk/


From: <freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Mark Wagshul 
<mark.wags...@einstein.yu.edu>
Reply-To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Date: Thursday, 3 May 2018 at 21:29
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] Extracting DTI/NODDI data from hippocampal subfields


        External Email - Use Caution
Eugenio,

Sorry I have a few questions.  The original images were NOT 256x256x256, they 
were cropped, but it seems that all of the output images from Freesurfer are 
256x256x256.  The simplest thing for me to do is to register my DTI images to 
the norm.mgz image, but I’m not sure how to do that.  I’m used to working with 
FSL, and I’m not confident that this will work.  When I tried a simple 
mri_convert on the norm.mgz file to NIFITI, the orientation of the image in 
fslview was different from the original image (sagittal image is rotated by 
90’, axial and coronal images are swapped and coronal image is rotated by 180’).

If you could guide me on how to best re-register my DTI NIFTI images to the 
norm.mgz image, that would be great.

Thanks,

Mark

From: freesurfer-boun...@nmr.mgh.harvard.edu 
[mailto:freesurfer-boun...@nmr.mgh.harvard.edu] On Behalf Of Iglesias Gonzalez, 
Eugenio
Sent: Thursday, May 3, 2018 3:47 AM
To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] Extracting DTI/NODDI data from hippocampal subfields


        External Email - Use Caution
Dear Mark,
Just to make sure we’re on the same page: I’ll say that two images are in the 
same voxel space when they have the same size (in voxels, e.g., 256x256x256) 
and the same vox2ras matrix - the one that maps voxel coordinates to RAS 
(physical) coordinates.
The subfield segmentation is indeed in the same RAS coordinates as your native 
T1, but not in the same voxel space.
One option that you have is to convert your subfield mask to the voxel space of 
the T1, with the option –rl (“reslice like”) of mri_convert:
For probabilistic masks:
mri_convert  subfield_prob.mgz  subfield_prob_T1voxelSpace.mgz -rl norm.mgz 
-odt float
For discrete masks or segmentations, you can use a similar command, but with 
nearest neighbor interpolation:
mri_convert subfield_mask.mgz subfield_mask_T1voxelSpace.mgz -rl norm.mgz -odt 
float -rt nearest
I hope this helps!
Cheers,
/Eugenio


--
Juan Eugenio Iglesias
ERC Senior Research Fellow
Translational Imaging Group
University College London
http://www.jeiglesias.com
http://cmictig.cs.ucl.ac.uk/


From: 
<freesurfer-boun...@nmr.mgh.harvard.edu<mailto:freesurfer-boun...@nmr.mgh.harvard.edu>>
 on behalf of Mark Wagshul 
<mark.wags...@einstein.yu.edu<mailto:mark.wags...@einstein.yu.edu>>
Reply-To: Freesurfer support list 
<freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>>
Date: Wednesday, 2 May 2018 at 20:57
To: "freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>" 
<freesurfer@nmr.mgh.harvard.edu<mailto:freesurfer@nmr.mgh.harvard.edu>>
Subject: [Freesurfer] Extracting DTI/NODDI data from hippocampal subfields


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Hi.  I am just getting my feet wet with running my subjects through the 
Freesurfer processing stream, so the following question night be a bit trivial 
(I hope):

I have run qvlSegmentHippocampal subfields on one of my subjects, and it 
completed just fine with what seem to be the appropriate outputs in the 
subject’s mri folder.  I have another 100 subjects to run, but want to make 
sure I can accomplish what I would like to on this subject first.  The images 
which I see are sub-images, i.e. these have fewer voxels compared to the 
original image, but in the native T1 space resolution (= 1 mm3).  I would now 
like to register the subfields in the native space (my DTI/NODDI maps are 
already registered into this space), to obtain mean values within each 
subfield.  How can I transform these sub-field images back into the native T1 
space, or is there a method within Freesurfer to perform the math (e.g. similar 
to fslmaths)?

Thanks,

Mark

____________________
Mark Wagshul, PhD
Associate Professor
Gruss Magnetic Resonance Research Center
Albert Einstein College of Medicine
Bronx, NY 10461

Ph: 718-430-4011
FAX: 718-430-3399
Email: mark.wags...@einstein.yu.edu<mailto:mark.wags...@einstein.yu.edu>

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