Hi Samir, you can first conform all inputs to 1mm isotropic using mri_convert --conform input output
It may make sense to add a covariate in the statistics for the different acquisition to control for a linear effect. Best, Martin > On 25. May 2018, at 08:29, Samir Rekic <rekic.sami...@hotmail.com> wrote: > > > > > Dear FreeSurfers, > I am trying to run the longitudinal process including (recon-all -base and > -long) for 5 different timepoints. > But in my original data one the of five differs in the acquisition > orientation and in the size of the field of view, so the results and > especially the statistic is distorted. > Four of my data sets have RPI as acquisition Parameter and a FOV of 230, > the last data set has LPI and a FOV of 257. > Does it even make sense to include this last dataset – is it even possible > (due to different Parameters)? > Do I have to pre-process this different data set? > > Thank you in advance! > Sam > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > <https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer>
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