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hi my code is:
recon-all -i /home/MRI/Training/99060003/T1-image/39501.dcm subj1 -sdir /home/MRI4 -all ERROR: Flag subj1 unrecognized. -i /home/nbml-challenge/Training/99060003/T1-image/39501.dcm subj1 -sdir /home/team33/MRI4 -all
what is <subject ID you create>??
On Thursday, October 22, 2020, 5:40:05 PM GMT+3:30, saman fouladi smnfouladi@yahoo.com wrote:
hi Bruce thank you very very much
On Wednesday, October 21, 2020, 9:05:36 PM GMT+3:30, Fischl, Bruce bfischl@mgh.harvard.edu wrote:
#yiv9925090239 -- filtered {}#yiv9925090239 filtered {}#yiv9925090239 filtered {}#yiv9925090239 p.yiv9925090239MsoNormal, #yiv9925090239 li.yiv9925090239MsoNormal, #yiv9925090239 div.yiv9925090239MsoNormal {margin:0in;margin-bottom:.0001pt;font-size:11.0pt;font-family:sans-serif;}#yiv9925090239 a:link, #yiv9925090239 span.yiv9925090239MsoHyperlink {color:blue;text-decoration:underline;}#yiv9925090239 p.yiv9925090239msonormal, #yiv9925090239 li.yiv9925090239msonormal, #yiv9925090239 div.yiv9925090239msonormal {margin-right:0in;margin-left:0in;font-size:11.0pt;font-family:sans-serif;}#yiv9925090239 span.yiv9925090239ydp1ac82ctlid-translation {}#yiv9925090239 span.yiv9925090239ydpe810003dtlid-translation {}#yiv9925090239 span.yiv9925090239ydpbc4bf220tlid-translation {}#yiv9925090239 span.yiv9925090239ydp44042622tlid-translation {}#yiv9925090239 span.yiv9925090239EmailStyle31 {font-family:sans-serif;color:windowtext;}#yiv9925090239 .yiv9925090239MsoChpDefault {font-size:10.0pt;}#yiv9925090239 filtered {}#yiv9925090239 div.yiv9925090239WordSection1 {}#yiv9925090239 Nifty is a format that a lot of people use (including us) but it is not needed for our processing. Pick *one* file in your dicom series and pass it to recon-all:
recon-all -i <path to 1 dicom file> -s <subject ID you create> -sdir <path to the dir that will contain all outputs> -all
cheers
Bruce
From: freesurfer-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.eduOn Behalf Of saman fouladi Sent: Wednesday, October 21, 2020 11:57 AM To: Freesurfer support list freesurfer@nmr.mgh.harvard.edu Subject: Re: [Freesurfer] please help me
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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 bfischl@mgh.harvard.edu wrote:
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-bounces@nmr.mgh.harvard.edu freesurfer-bounces@nmr.mgh.harvard.eduOn Behalf Of saman fouladi Sent: Tuesday, October 20, 2020 4:12 PM To: freesurfer@nmr.mgh.harvard.edu Subject: [Freesurfer] please help me
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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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