Hi Douglas,

It seems that the lesions are in the right place. Do you have other suggestions?


I just want to make sure; when you wrote: ind = find( (aseg.vol == 2 | aseg.vol 
== 41) & manlesion.vol != 0); -> you meant: ind = find( (aseg.vol == 2 | 
aseg.vol == 41) & manlesion.vol ~= 0);


Best, Silas

________________________________
From: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas N Greve 
<gr...@nmr.mgh.harvard.edu>
Sent: Wednesday, August 10, 2016 11:56 PM
To: freesurfer@nmr.mgh.harvard.edu
Subject: Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR

did you look at the aseg.mgz to see if the lesions were in the right place?

On 08/10/2016 03:28 AM, Silas wrote:
>
> Thank you very much for your help Douglas!
>
>
> I had a few problems running these commands.
>
> 1) recon-all -autorecon1 -autorecon2 -> no problems
>
>
> 2) The matlab script
>
> The aseg.auto.mgz (256x256x256) didn't have the same size as the FLAIR
> (resliced to 1mm, co-registered in MNI-space and with manually drawn
> binary lesion masks (218x182x182)). I overcome this problem by
> reslicing the FLAIR image and using aseg.auto.nii as the image
> defining space. This was done in SPM8, and prior to this the
> aseg.auto.mgz was converted to a .nii using mri_convert.
>
> This seemed to solve the problem!
>
>
> 3) recon- all -autorecon2-cp -autorecon3
>
> When running the following command i get this error:
>
> /depot64/freesurfer/freesurfer.5.3.0/bin/recon-all -s 01MS
> -autorecon2-cp -autorecon3 subjid 01MS
>
> ............
>
>
> '#@# Intensity Normalization2 Mon Aug  DATE
> /.../subjects_FLAIR/01MS/mri
>
>  mri_normalize -aseg aseg.mgz -mask brainmask.mgz norm.mgz brain.mgz
>
> using segmentation for initial intensity normalization
> using MR volume brainmask.mgz to mask input volume...
> reading from norm.mgz...
> Reading aseg aseg.mgz
> normalizing image...
> processing with aseg
> removing outliers in the aseg WM...
> 5361 control points removed
> Building bias image
> mriMarkUnmarkedNeighbors: all inputs must be MRI_UCHAR or MRI_INT
> building Voronoi diagram...
> Numerical argument out of domain
> Linux big28 3.13.0-66-generic #108-Ubuntu SMP Wed Oct 7 15:20:27 UTC
> 2015 x86_64 x86_64 x86_64 GNU/Linux
>
> recon-all -s 01MS exited with ERRORS at Mon Aug  8 15:31:32 CEST 2016
>
> To report a problem, see
> http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting'
BugReporting - Free Surfer 
Wiki<http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
surfer.nmr.mgh.harvard.edu
top. Bug Reporting. Submitting a request for help . When submitting a request 
for help with your problems please be aware that the developers will try and 
repeat your ...



>
> *How can i solve this problem?*
>
>
> Best, Silas
>
>
>
> ------------------------------------------------------------------------
> *From:* freesurfer-boun...@nmr.mgh.harvard.edu
> <freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas Greve
> <gr...@nmr.mgh.harvard.edu>
> *Sent:* Tuesday, August 2, 2016 4:06 AM
> *To:* freesurfer@nmr.mgh.harvard.edu
> *Subject:* Re: [Freesurfer] Fw: Running recon-all with T1 and FLAIR
>
> That recon-all command will not work as the FLAIR input should be a
> simple FLAIR image. The FLAIR will only correct the pial surface and
> will have nothing to do with lesion segmentation. Emily Lindermer has
> a tool that can take a T1 and FLAIR and produce a lesion map; but
> given that you already have manual segmentations, maybe that is not so
> helpful. One thing you can do is to edit the aseg.mgz to insert your
> lesions. First run recon-all with -autorecon1 -autorecon2 instead of
> -all. Then, in matlab,
>
>
> aseg = MRIread('aseg.auto.mgz'); % FreeSurfer aseg
>
> manlesion = MRIread('manlesion.nii.gz'); % Manual lesion, whatever
> format, but should be binary
>
> ind = find( (aseg.vol == 2 | aseg.vol == 41) & manlesion.vol != 0);
>
> newaseg = aseg;
>
> newaseg.vol(ind) = 77;
>
> MRIwrite(newaseg,'aseg.mgz'); % This will overwrite the aseg.mgz, so
> make a backup
>
>
> Then run recon-all with -autorecon2-cp -autorecon3
>
>
>
> On 8/1/16 7:35 AM, Silas wrote:
>>
>>
>> Dear FreeSurfer team,
>>
>>
>> I'm doing a structural analysis with 50 MS patients and 50 healthy
>> controls (T1, T2 and FLAIR). The MS patients have multiple lesions
>> mainly in white matter. My co-worker did manual editing (bullet
>> points) in the FLAIR images, and i would like to use these edits when
>> running recon-all in order to avoid further manual editing.
>>
>>
>> The data i'm working with is already resliced to 1 mm and
>> co-registered in MNI-space.
>>
>> 1) Can i use this data or would it be preferable to use the original
>> T1's?
>>
>>
>> My thought was to run the following command:
>>
>> recon-all -subject subjectname -i /path/to/input_volume -FLAIR 
>> /path/to/FLAIR_volume_with_edits-FLAIRpial  -all
>> 2) Does this look correct? Is there anything i should be aware of? ->
>> update: Does this command only improve the pial surface? How can i
>> also improve the white mater segmentation (white) using FLAIR
>> corrections?
>>
>> 3) Does it make a difference running recon-all -all with the FLAIR
>> image - compared to running recon-all -autorecon3 with the FLAIR
>> after running recon-all -all with only the T1?
>>
>> 4) I've also thought about using the lesion segmentation toolbox for
>> SPM and completely avoid manual editing - is this preferable to using
>> the FLAIR with manual editing?
>>
>> 5) How is the general strength of analysing corpus callosum
>> structurally in MS patients using FreeSurfer?
>>
>>
>> Best, Silas
>>
>>
>>
>> _______________________________________________
>> Freesurfer mailing list
>> Freesurfer@nmr.mgh.harvard.edu
>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>
>
>
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--
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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