Dear Sam,
The native images live in one space (typically anisotropic), whereas the 
recon-all-clinical files always live in their own 1x1x1mm isotropic grid (which 
is the whole point!). I am not familiar with the Enigma QC procedure but I 
wouldn’t be surprised if it’s not compatible with these variable image spacings.
As a hack, you could maybe try running mri_convert native.mgz 
native.resampled.mgz -rl aseg.mgz, to obtain a (resampled) input scan in the 
same voxel space as the outputs?
Cheers,
/Eugenio

--
Juan Eugenio Iglesias
http://www.jeiglesias.com

From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Sam Sievertsen 
<sam...@uw.edu>
Date: Friday, April 5, 2024 at 11:43 AM
To: freesurfer@nmr.mgh.harvard.edu <freesurfer@nmr.mgh.harvard.edu>
Subject: [Freesurfer] Recon-All Clinical Stream: Image Output Observations in 
Creating ENIGMA QC Images

        External Email - Use Caution
Good Afternoon,

I hope this email finds you well! My name is Sam Sievertsen, the research 
coordinator for Dr. Jennifer Forsyth at the University of Washington. We are 
utilizing the recon-all clinical processing stream from FreeSurfer 7.4.1 on 
Rocky Linux (within our institutions HPC environment) to process subjects with 
decreased T1 image quality, and for whom previously processing with the 
standard recon-all pipeline resulted in missed grey matter during segmentation. 
Per recommendations in the bug reporting page, I have attached an example 
recon-all clinical log from this processing in case it is helpful.

Following the recon-all clinical processing of these subjects, we are using an 
existing (ENIGMA cortical QC) pipeline to take screenshots of the external 
cortical 
reconstruction<https://secure-web.cisco.com/19i9TSlgNlNnONXLIpqTWX3BCSsnOf-EugV08XsKq72OGsXI7OeYZPf6CqMrvDWAtomUiRFZispIdIZdo9F9SRO3vZL2DV1TkzQpfw6DjK0e7JR8mz4AoTR-papqbzRrkdgPbPDqF2uoVbzJ0L42bCbyFrsf3aIEqbZXVMVFiDooF-J1jxxtF9_dfZFzE0jCwDqb4fw9c-Ls2LJMzqTriaB0ra6YwyMhWrnMB5p0zH0oUUjH6EVuvKf5QGukFG_JWwNBN6egozwsfQLYhSj_2V_loamyo3Q9IbxaTFpbPGg17GYxj276uYTJC7wEaCx_JhhnbRJl7OvgVZc_g_n-_sQ/https%3A%2F%2Fgithub.com%2FENIGMA-git%2FENIGMA-FreeSurfer-protocol%2Fblob%2Fmain%2FENIGMA_QC%2FFS_external_QC.m>
 / aparc+aseg segmentation overlaid on internal 
images<https://secure-web.cisco.com/13TQ3PwQQ9BI4s2aBpZBhunwgJsJT6-yH3IIqx3cliLqe4_j1r1TZqHTHUdMnnYC23aHf7OClxHdaKsQpsGu25-Suf2wTo6iSj05UvMg4l1dgJFNKkQ9LZlEoNktxRPcD7f88KnWtK5W32jCoCfjgsQOPkdQJU90XrFfd8epMu37q0oRors8xn8f_kjzhE90k3SGE8TOmrckpzoi8YmLW6fYzEHg0Yq4ExvKaTwRMlagWQDkrPu5cCD9--5hMIDrrNmuJeUT95LLohgPHnZDBnRARyjosNkxkisaDxndE-HR9Bv24P2K88Mclo062Ethd18652PaqOOJ7dDKAxgXxyA/https%3A%2F%2Fgithub.com%2FENIGMA-git%2FENIGMA-FreeSurfer-protocol%2Ftree%2Fmain%2FENIGMA_QC>.

We are able to successfully generate external (reconstruction) cortical QC 
images using the recon-all clinical output, but encounter an error when 
attempting to generate the internal (T1 with aparc+aseg.mgz overlay) QC images. 
Specifically, there is a conditional check within the internal QC image 
generation script linked above that halts the process if the Nx*Ny*Nz 
dimensions in the T1 image and the Nx*Ny*Nz dimensions in aparc+aseg.mgz do not 
align, which is where our process is throwing the error.

Manual examination of the recon-all clinical image output (e.g., "native.mgz", 
"synthSR.norm.mgz", and "aparc+aseg.mgz") suggests that the aforementioned 
dimensions are all different in those images. Conversely, the dimensions in the 
processed images and segmentations (e.g., "orig_nu.mgz", "aparc+aseg.mgz") from 
the standard recon-all pipeline appear to be uniform (256) for those same 
subjects we are processing in this cohort. To hopefully assist with clarity, I 
have attached the script we are using ("func_make_corticalpngs_ENIGMA_QC.m") to 
construct these internal QC images, and example output files from the same 
subject using the standard recon-all pipeline output 
("internalQC_standard_recon_all.txt") and recon-all clinical pipeline output 
("internalQC_recon_all_clinical.txt"), which show a discrepancy in the 
aforementioned dimensions.

Following up on the above information, I am wondering if "SynthSeg: to obtain a 
volumetric segmentation and linear registration to Talairach space"on the 
recon-all clinical 
page<https://secure-web.cisco.com/1ysMZeQggBLaLzKrZvbENqA_ienVNIRzPan5TKDtzxTjvk1NcXUtXEaFDTgh8vL6P2wf45rocLhoqBQg5KZ5-5dIbF8E6BYxv7fSXMYNrqG7nxwL7YMX9gRhEQf2MmbnM71j_ru-KHFNjoON70LDVAgGbxFZDRA_KWZjdPAahINoi4PkjjHOhCJ4wStvfqj-b2oQyrgw5E2iQMrj3SVy4mHFy8iwKYp7ul_PIvECdpjQIdZtaVLwAfNDaiaQXIzg2EG9_qlV1g1LKp92qpcp5bX2ZgcVIWPwG3HxbxzTheR4_R-1l06hjz4DLYeej2_lcJs7L5ZF_3kesE5QAToBiaQ/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2Frecon-all-clinical>
 about registration to talairach space implies that the recon-all clinical 
output should have uniform dimensions, or if I am misunderstanding that and 
there is anything that stands out from this description that we may be doing 
incorrectly/that other users have encountered as well?

Would also be very appreciative of any other suggestions you may have for 
attempting to troubleshoot this issue, thank you very much in advance for your 
time! Happy to answer any resulting questions or follow up with additional 
information should it be helpful.

All the best,

Sam Sievertsen
Research Coordinator I
Department of Psychology, GRaND Lab

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