External Email - Use Caution        

Dear Experts,
I'm trying to understand what is the best input choice for running SAMSEG
--recon in order to have the closest results as possible when compared
against ASEG after executing (separately) an instance of recon-all all (and
the raw input files in NIFTI format).
I'm very well aware that ASEG and SAMSEG are different methods.
I'm using the aseg.stats file as a results of the recon-all all command
(here renamed as aseg.recon-all.stats for an easier identification). These
stats should be my reference.

Currently I've run the samseg command using the following input variants:
1) raw input file (brain MP-RAGE sequence) converted into a mgz archive
(Raw.mgz).
samseg --t1w ./Raw.mgz --s 002_S_0685_DIRECT --recon --refmode t1w
The corresponding results are attached into (samseg.direct.stats)

2) This time I've used the file T1.mgz which is one of the intermediate
results generated after running recon-all -autorecon 1. Specifically, this
is the output of (mri_normalize
<https://secure-web.cisco.com/1JV3nYNrViePm1qpOtzuMUtCndnVtCut-gp7OyXxNuXIOkpE_qcI5f6sZ_QCwSghG1IFvH334gaAg87lJLYfCvB-5zg8wmDlsw6lAdt8aOlOIPUAjSprkajT7zne-FP-hzGKv9CYvWmcSS9XIenkvKBhlfbO8vOv-ei30mFEGRIZaagYtK1Cyf9wmm4QF6GEj7bEzNVr-YBpfnGSNYSLBmufOWzHUZ-r1QCtztrC9tGdBWY2qatrd7cfd8q57QFqlCEFUVwIesthj1klkWBKBIVP9AjfVSX4ZriNvoJLsVcZ6fSYSPrEW5jpjoBoeTUkDy39-cD7pRoNjCcQMll36FQ/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2Fmri_normalize>
 -g 1 -mprage
nu.mgz T1.mgz).
samseg --t1w ./T1W/T1.mgz --s 002_S_0685_DIRECT_T1W --recon --refmode t1w
The corresponding samseg.stats file is attached and called
(samseg.direct.t1.stats).

3) this time I've used the file brainmask.mgz which is the last
intermediate result generated after running recon-all -autorecon 1.
Specifically, this is the output of mri_watershed
<https://secure-web.cisco.com/1DjG5BDGTEbHYOWKmd4lc63SOmX8IrmziV9_NRWhpCskwO6lXP_OANTKjLP4P7zNcWyFmHcUAzXkrwvHQHxjel7Kt6VWmoFp0Dec-s6MAlL-nBlLBeauEFL4752dC7HNmXyvpFp8GB9mROITqzNZ0ZMNc5G-lQL2FfUV5IGX-p1DHRNN5Vw7G8qdIAeHIJYRhKRyuEqIzZ0afOXOYp79zF4m6WaEvzjf_-MVMKRTIk65x00-gMPz3jln6JODEdkkvNPc1Vad_tMdDHjoDPvBUPDKPPmc3p840hpjbk-e2W_eYsL1dczzFZsnkSX25piGNbpcwFN_z2Y_fei_T89237Q/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2Fmri_watershed>.
samseg --t1w ./brainmask.mgz --s 002_S_0685_DIRECT_BRAIN --recon --refmode
t1w
The corresponding samseg.stats file is attached and called
(samseg.brain.stats).

I've noticed that the SAMSEG stats file (samseg.brain.stats) as obtained
when using the brainmask.mgz as input file is the closest with the ASEG
statistics (aseg.recon-all.stats).
I also observe that the unknown volume is the lowest (# Measure Unknown,
5329.102436, mm^3) when using brainmask.mgz as input for SAMSEG, whereas is
higher (Measure Unknown, 325302.894793, mm^3) when using T1.mgz as input
file and is the highest (Measure Unknown, 946924.354060, mm^3) for the raw
input.

I know that for running recon-all we use the raw input files (for example,
in NIFTI format),
but I wanted to know what is the best possible configuration for SAMSEG in
terms of input file in order to have the closest match between SAMSEG and
ASEG statistics.
Could it be possible to use the intermediate result T1.mgz or brainmask.mgz
as input file for running samseg command?
Is it a technically correct procedure?
Do we need to use only the raw data as input for running samseg --recon
command?

Hope this is clear
Regards
GS

Attachment: aseg.recon-all.stats
Description: Binary data

Attachment: samseg.direct.stats
Description: Binary data

Attachment: samseg.direct.t1w.stats
Description: Binary data

Attachment: samseg.brain.stats
Description: Binary data

_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
The information in this e-mail is intended only for the person to whom it is 
addressed.  If you believe this e-mail was sent to you in error and the e-mail 
contains patient information, please contact the Mass General Brigham 
Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline 
<https://www.massgeneralbrigham.org/complianceline> .
Please note that this e-mail is not secure (encrypted).  If you do not wish to 
continue communication over unencrypted e-mail, please notify the sender of 
this message immediately.  Continuing to send or respond to e-mail after 
receiving this message means you understand and accept this risk and wish to 
continue to communicate over unencrypted e-mail. 

Reply via email to