Dear all,
I am having problems running the recon-all process. The error log is attached to this e-mail.
This error appears only when I run recon-all in a machine able to parallelize preprocesses, however, if I use the same reconstructed oriented image in a machine sent as a normal job directly to the terminal, the preprocess runs without any errors and the output looks correct. I have tried to use the -notal-check flag as the error log suggests, but it fails anyway.
Since our team is working in a longitudinal study, and the images from the other time points have been preprocessed with the parallelizing machine, we are concerned that using the non-parallelizing machine could add significant methodological variabilities to our studies, and we would rather be consistent with the previous procedures.
Do you have any comments or further suggestions on how we might be able to fix this error?
Thanks in advance for your time and help Anna Garcia
Hi Anna
are the talairach.xfm files generated by the two machines similar?
Bruce On Wed, 21 Oct 2015, Anna I. Garcia Diaz wrote:
Dear all, I am having problems running the recon-all process. The error log is attached to this e-mail.
This error appears only when I run recon-all in a machine able to parallelize preprocesses, however, if I use the same reconstructed oriented image in a machine sent as a normal job directly to the terminal, the preprocess runs without any errors and the output looks correct. I have tried to use the -notal-check flag as the error log suggests, but it fails anyway.
Since our team is working in a longitudinal study, and the images from the other time points have been preprocessed with the parallelizing machine, we are concerned that using the non-parallelizing machine could add significant methodological variabilities to our studies, and we would rather be consistent with the previous procedures.
Do you have any comments or further suggestions on how we might be able to fix this error?
Thanks in advance for your time and help Anna Garcia
freesurfer@nmr.mgh.harvard.edu