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hi
Thank you for your response
I have 60 subject MRI that each contains 174 dcm file. and i want predict age
of these subjects. in step one i want extract morphology features and in step2
create a deep learning model that predict age.
According to what I said, what should I do?
If I have to use recon-all with what code can I do this? And what is the use
of nifty?
On Wednesday, October 21, 2020, 1:06:50 AM GMT+3:30, Fischl, Bruce
<bfis...@mgh.harvard.edu> wrote:
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Hi Saman
Recon-all will give you a comprehensive assessment of most macroscopically
visible structures in the brain. You don’t have to convert to nifty first –
just point recon-all at a single slice in the proper dicom series (for your 3D
T1-weighted scan), and it will spend a few hours doing stuff
Cheers
Bruce
From: freesurfer-boun...@nmr.mgh.harvard.edu
<freesurfer-boun...@nmr.mgh.harvard.edu>On Behalf Of saman fouladi
Sent: Tuesday, October 20, 2020 4:12 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: [Freesurfer] please help me
External Email - Use Caution
hi
I want to process MRI images to extractMorphology features.
I convert my dcm file to nii format by mri-convert command and then I used FSL
software and BET(Best extraction Tool).
Next I do not know what to do to extract morphological features?
My other question is what is the difference between recon-all and use FEAT( in
FSL software)? What are the uses of each?
Thank you
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