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dear douglas,

you are right a visual comparison is the thing to do. I hope I can ask you an 
advice on that.

I used freeview to open the mri data + segmentation for both participants:

freeview -v  $subj/mri/brainmask.mgz 
$subj/mri/aseg.mgz:colormap=lut:opacity=0.2  $subjlongi/mri/brainmask.mgz  
$subjlongi/mri/aseg.mgz:colormap=lut:opacity=0.9              &

once they are open I can play with the opacity and visualize the differences. 

my problem is that the brainmasks are shifted wrt each other. when I try to fix 
this setting the MNI305 coordinates to be the same, it does not work, it is set 
in such a way that the TkregRAS/RAS coordinates are the same. how can I change 
that?

until I fix this, I can't tell because I see differences in the snapshots I see 
but they are due to the fact I am looking at different slices of the brain...

or is this already indicative I did something wrong in the longi preproc 
because the brainmasks should be the same?

thanks a lot

fabio


Dr. Fabio Bernardoni
wiss. Mitarbeiter

Division of Psychological & Social Medicine and Developmental Neurosciences
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________________________________________
Von: freesurfer-boun...@nmr.mgh.harvard.edu 
<freesurfer-boun...@nmr.mgh.harvard.edu> im Auftrag von Douglas N. Greve 
<dgr...@mgh.harvard.edu>
Gesendet: Montag, 12. September 2022 16:14
An: freesurfer@nmr.mgh.harvard.edu
Betreff: Re: [Freesurfer] volume differences between longitudinal and 
crosssectional preprocessing

What you show for the lateral ventricle is not really concerning to me. 
Oftentimes there are differences on border voxels, and border voxels can easily 
make 5% or more of a structure. If you compare them visually, do you see big 
differences?

On 9/12/2022 7:41 AM, Bernardoni, Fabio wrote:

        External Email - Use Caution

dear freesurfer experts

comparing the results of longitudinal vs. crosssectional preprocessing for 
single time point participants I have noticed that there are some quite 
substantial differences (>5% for some sub cortical regions). I wonder whether 
this is normal, or whether I should suspect that I am using some wrong setting. 
the differences are there both when using freesurfer 5.3 and freesurfer 7.1.


I have always used the flag: -nuintensitycor-3T (our scanner is a 3 Tesla one)


I would say that I more often have smaller volumes in the longi preprocessing 
(80% of the cases), but I haven't checked this systematically.

This are the first 5 regions from the aseg.stats file:

FS5 CROSS
# ColHeaders  Index SegId NVoxels Volume_mm3 StructName normMean normStdDev 
normMin normMax normRange
  1   4      4772     4772.4  Left-Lateral-Ventricle            45.4073    
12.8146    24.0000    92.0000    68.0000
  2   5       133      132.6  Left-Inf-Lat-Vent                 51.9800    
10.2799    28.0000    77.0000    49.0000
  3   7     13488    13488.1  Left-Cerebellum-White-Matter      91.1006     
5.2419    37.0000   106.0000    69.0000
  4   8     57562    57561.8  Left-Cerebellum-Cortex            72.0094     
8.7033    24.0000    96.0000    72.0000
  5  10      8428     8428.3  Left-Thalamus-Proper              94.7674     
7.1110    52.0000   111.0000    59.0000

FS5 LONGI

# ColHeaders  Index SegId NVoxels Volume_mm3 StructName normMean normStdDev 
normMin normMax normRange
  1   4      4542     4541.9  Left-Lateral-Ventricle            42.8623    
13.5582    22.0000    94.0000    72.0000
  2   5       131      130.5  Left-Inf-Lat-Vent                 50.6667    
11.1812    23.0000    81.0000    58.0000
  3   7     13576    13576.1  Left-Cerebellum-White-Matter      86.1990     
4.5161    40.0000   100.0000    60.0000
  4   8     57615    57614.7  Left-Cerebellum-Cortex            68.7623     
8.6206    17.0000    92.0000    75.0000
  5  10      8658     8658.2  Left-Thalamus-Proper              91.2531     
6.7374    52.0000   107.0000    55.0000

FS7 CROSS

# ColHeaders  Index SegId NVoxels Volume_mm3 StructName normMean normStdDev 
normMin normMax normRange
  1   4      4871     5297.0  Left-Lateral-Ventricle            43.9799    
11.8868    24.0000    91.0000    67.0000
  2   5       145      202.9  Left-Inf-Lat-Vent                 53.7310    
10.0009    28.0000    79.0000    51.0000
  3   7     14703    15351.7  Left-Cerebellum-White-Matter      86.7391     
5.5097    35.0000   100.0000    65.0000
  4   8     57694    57174.0  Left-Cerebellum-Cortex            68.6875     
9.0320    29.0000    95.0000    66.0000
  5  10      8674     8354.1  Left-Thalamus                     89.9416     
8.1369    40.0000   107.0000    67.0000


FS7 longi


# ColHeaders  Index SegId NVoxels Volume_mm3 StructName normMean normStdDev 
normMin normMax normRange
  1   4      4898     5154.3  Left-Lateral-Ventricle            41.0488    
12.0309    22.0000    79.0000    57.0000
  2   5       165      214.4  Left-Inf-Lat-Vent                 52.3939    
11.2687    27.0000    84.0000    57.0000
  3   7     14655    15364.2  Left-Cerebellum-White-Matter      83.1088     
4.9509    39.0000    98.0000    59.0000
  4   8     58759    58163.3  Left-Cerebellum-Cortex            65.8093     
8.7269    25.0000    90.0000    65.0000
  5  10      8757     8542.9  Left-Thalamus                     85.7984     
6.8821    47.0000   102.0000    55.0000




thanks for any hint, and of course please let me know in case I should provide 
more informations!


fabio bernardoni


Dr. Fabio Bernardoni
wiss. Mitarbeiter

Division of Psychological & Social Medicine and Developmental Neurosciences
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