can you send the terminal output?

On 7/31/17 5:00 PM, Linda Eva Heidinger wrote:
> Hello Dr. Greve,
> I ran the program below and got the following errors. Can you help??? I 
> really would appreciate it.  -Linda
>
> Loading source LTA boldregister003.dat
> INFO: This REGISTER_DAT transform is valid only for volumes between  COR 
> types with c_(r,a,s) = 0.
> Loading GCAM Subject06/cvs_CVS35MNI152/final_CVSmorph_tocvs_avg35_inMNI152.m3z
> setting orig areas to linear transform determinant scaled 1.00
> Loading destination LTA 
> /pkg64/brainmap/freesurfer-v6.0.0_x86_64/subjects/cvs_avg35_inMNI152/mri.2mm/register.lta
> MRIvol2volGCAM(): VSM not used
> MRIvol2volGCAM(): interpolation type is 0 nearest
> MRIvol2volGCAM(): Chaning Source LTA type to vox2vox
>
> The initial command that was run:
> mri_vol2vol --gcam run_003regraijNIFTI.nii boldregister003.dat 
> Subject06/cvs_CVS35MNI152/final_CVSmorph_tocvs_avg35_inMNI152.m3z 
> $FREESURFER_HOME/subjects/cvs_avg35_inMNI152/mri.2mm/register.lta 0 0 
> subject003matrix.nii
> ________________________________________
> From: [email protected] 
> <[email protected]> on behalf of Douglas N Greve 
> <[email protected]>
> Sent: Tuesday, July 25, 2017 2:27 PM
> To: [email protected]
> Subject: Re: [Freesurfer] reducing a matrix
>
> Add another 0 after the register.lta
>
>
> On 07/25/2017 02:46 PM, Linda Eva Heidinger wrote:
>> The -gcam command requires 7 arguments. What would the seventh be? Please 
>> let me know. I really appreciate all your help!
>> ________________________________________
>> From: [email protected] 
>> <[email protected]> on behalf of Douglas N Greve 
>> <[email protected]>
>> Sent: Tuesday, July 18, 2017 3:31 PM
>> To: [email protected]
>> Subject: Re: [Freesurfer] reducing a matrix
>>
>> try
>>
>>
>> mri_vol2vol --gcam 005.mc.nii boldregister.dat
>> $SUBJECTS_DIR/$subject/cvs/final_CVSmorph_tocvs_avg35_inMNI152.m3z
>> $FREESURFER_HOME/subjects/cvs_avg35_inMNI152/mri.2mm/register.lta 0
>> output.nii.gz
>>
>>
>> This will sample it down to a 2mm space within the CVS atlas (should
>> overlap pretty well with the MNI152 2mm space)
>>
>>
>>
>> On 07/18/2017 03:48 PM, Linda Eva Heidinger wrote:
>>> Dear experts in freesurfer,
>>>
>>> I myself am a very beginner in freesurfer but I come with a difficult
>>> question to answer. As you can see from the script below, I am trying
>>> to obtain the Bold in CVS35MNI152 template space which hopefully has
>>> better properties for accuracy and determination of location of a
>>> voxel for targeting in use with TMS. One can see that bbregister and
>>> mri_cvs_register were used followed by mri_vol2vol to register the
>>> Bold and transform it from subject space to the above template.
>>> Unfortunately, the template space is in freesurfer space (1mm^3,256^3)
>>> . When we try to run the result that we obtain after transformation in
>>> our AFNI programs, they couldn't run on our computers because of the
>>> size of the Bold matrix being too large. I am wondering if it is
>>> possible for mri_cvs_register to use a template that is of the same
>>> size as the T1? or really we should just somehow reformulate the
>>> transformation matrix resulting from mri_cvs_register which I believe
>>> is: final_CVSmorph_tocvs_avg35_MNI152.m3z to allow for a reduced final
>>> Bold matrix from mri_vol2vol which will have the same dimensions as
>>> the subject space which the original Bold had?
>>>
>>> I appreciate the time and attention you give this question.
>>>
>>> Thanks,
>>>
>>> -Linda
>>>
>>>  
>>>
>>> # FreeSurfer commands
>>>
>>> nmr-std-env
>>>
>>> setenv SUBJECTS_DIR <path to the directory where all MRI data for this
>>> study reside>
>>>
>>> setenv SUBJECT <my subject code>
>>>
>>> cd $SUBJECTS_DIR
>>>
>>> # First, run FS recon-all on the T1 (MEMPRAGE) anatomical as usual.
>>>
>>> recon-all -subjid $SUBJECT -i temp_${SUBJECT}/001.mgz -all -openmp 4
>>>
>>> # Second, do co-registration at the individual level between the hires
>>> anatomical and the bold (functional) image.
>>> # In the below example the already motion corrected (and otherwise
>>> preprocessed) bold data for run 005 are in
>>> # $SUBJECTS_DIR/$SUBJECT/bold/005/005.mc.nii
>>> # Use boundary-based registration (bbregister) - this by far the most
>>> accurate tool.
>>> # Note: This is rigid 6 DOF. It is almost always best to use rigid DOF
>>> 6 for within-subject registration.
>>>
>>> bbregister
>>> --mov $SUBJECT/bold/005/005.mc.nii
>>> --frame 0
>>> --bold
>>> --s $SUBJECT
>>> --init-fsl
>>> --reg boldregister.dat
>>> --fslmat ${SUBJECT}_anat2bold.mat
>>>
>>> # Just in case, let us make FSL type coregistration matrices as well.
>>>
>>> convert_xfm
>>> -omat ${SUBJECT}_bold2anat.mat
>>> -inverse ${SUBJECT}_anat2bold.mat
>>>
>>>
>>> # Now, we will compute a group-level coregistration from the
>>> individual brain to a template brain for both volumetric non-linear
>>> morphing.
>>> # We will use the standard brain cvs_avg35_inMNI152 as the
>>> target/template.
>>>
>>> mri_cvs_register --mov $SUBJECT --mni --outdir
>>> $SUBJECT/cvs_CVS35MNI152 --openmp 8
>>>
>>> # Finally, we can move the bold image from the individual spac into
>>> the standard space:
>>>
>>> mri_vol2vol \
>>> --mov $SUBJECT/bold/005/005.mc.nii \
>>> --targ $FREESURFER_HOME/subjects/cvs_avg35_inMNI152/mri/norm.mgz \
>>> --o Grand_Average/${SUBJECT}_CVS35MNI152_005.mc.nii \
>>> --m3z $SUBJECT/cvs_CVS35MNI152/final_CVSmorph_tocvs_avg35_inMNI152.m3z \
>>> --noDefM3zPath \
>>> --interp nearest \
>>> --reg $SUBJECT/bold/boldregister.dat \
>>> --no-save-reg \
>>>
>>>
>>>
>>> _______________________________________________
>>> Freesurfer mailing list
>>> [email protected]
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>> --
>> Douglas N. Greve, Ph.D.
>> MGH-NMR Center
>> [email protected]
>> Phone Number: 617-724-2358
>> Fax: 617-726-7422
>>
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>>
>>
> --
> Douglas N. Greve, Ph.D.
> MGH-NMR Center
> [email protected]
> Phone Number: 617-724-2358
> Fax: 617-726-7422
>
> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
> FileDrop: 
> https://urldefense.proofpoint.com/v2/url?u=https-3A__gate.nmr.mgh.harvard.edu_filedrop2&d=DwICJg&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=GKqetTp2xTIvLtRg3X4KoRv99hJX9SmTpU_XT1IjyuA&m=BwvuPcL_GwlXte75Q7JwV6TVJGsYDUBNP4DpXf1qvGM&s=gaZIm86T9LzCRJrfTVwIxena9oL3KIWdvzbwnIIrRk0&e=
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