I dont  think you did anytyhing wrong. You can use mri_vol2vol with the 
lta from the base/mri/transforms to map the seg into the base (same as 
long) space. But this resample will probably change the volume by 5%

On 9/12/2022 2:11 PM, Bernardoni, Fabio wrote:
>          External Email - Use Caution
>
> 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
> http://secure-web.cisco.com/1kxESuMC8skdvctmEgROrtKwaJL655wWIo_gJPtdDtG7MZKUWGPBXwAOW9wVYj65KrkAt6AWDMPBykCVYpF4SiusK6DdviP4y94PoS1MBXfrHjauRSTBVkOFejSGQap3zkd5At3s-YHYI21EPwtIFV-ed2lN4QU8QRtdegkVrU-zYJYNk76vlDQcrE7qBBTzHjDusMPUXQIEJtdvknVW1ZvWkAzgRt_r-Czdl1wV4cbAn42Xdl_7OnaLp_Uf5WAyQeby_8l_JziMO6lWFC-3ciFa0HfORGIHBXvzAIxZfMCeJZDpO_o55bdpVySgHe2pG/http%3A%2F%2Fwww.transdenlab.de%2F;
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> +49 (0351) 458-5245
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> Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Katrin Erk
> Vorsitzender des Aufsichtsrates: Prof. Dr. G. Brunner
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> Vorstand: Prof. Dr. med. D. M. Albrecht (Sprecher), Wilfried E. B. Winzer
> Vorsitzender des Aufsichtsrates: Prof. Dr. G. Brunner
> USt.-IDNr.: DE 140 135 217, St.-Nr.: 203 145 03113
>
> ________________________________________
> 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
> http://secure-web.cisco.com/1kxESuMC8skdvctmEgROrtKwaJL655wWIo_gJPtdDtG7MZKUWGPBXwAOW9wVYj65KrkAt6AWDMPBykCVYpF4SiusK6DdviP4y94PoS1MBXfrHjauRSTBVkOFejSGQap3zkd5At3s-YHYI21EPwtIFV-ed2lN4QU8QRtdegkVrU-zYJYNk76vlDQcrE7qBBTzHjDusMPUXQIEJtdvknVW1ZvWkAzgRt_r-Czdl1wV4cbAn42Xdl_7OnaLp_Uf5WAyQeby_8l_JziMO6lWFC-3ciFa0HfORGIHBXvzAIxZfMCeJZDpO_o55bdpVySgHe2pG/http%3A%2F%2Fwww.transdenlab.de%2F;
>  
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> +49 (0351) 458-5245
> Universitätsklinikum Carl Gustav Carus
> an der Technischen Universität Dresden
> Anstalt des öffentlichen Rechts des Freistaates Sachsen
> Fetscherstraße 74, 01307 Dresden
> http://secure-web.cisco.com/1qFmNP2I6ZW2c6fyju_um89S6jNiAseV1vZiFSxV7kCVZJq6RJkhAjs7Ae-lIPABLRvK3uT3OLZvJlbuEQMC8_NehUzQqzTQIZOw7g4pjIo9YTvQ-_qB0qOHYySWwKT-xmbe3OQhQ3cQefzCvkVVfHUUGq4dgWpEKsjzzw-PuhKqAZK2Cp3CFpSQhxPlB5aqCdf_5Np0Csq2K0GzYkgzJ5jgH-lUDBv0Y21TP-5CHLiDqJmhS4qZp1OrSPBTTktfHF0Aey55IcDtb75cXtGeTbIsRON5Nuk2Tbpe8d3QXQbf3tkdN_-f2u5PgnI7bXfTa/http%3A%2F%2Fwww.uniklinikum-dresden.de
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> Vorsitzender des Aufsichtsrates: Prof. Dr. G. Brunner
> USt.-IDNr.: DE 140 135 217, St.-Nr.: 203 145 03113
>
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> Vorsitzender des Aufsichtsrates: Prof. Dr. G. Brunner
> USt.-IDNr.: DE 140 135 217, St.-Nr.: 203 145 03113
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>
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