afni.nimh.nih.gov

Hi,

After using giant_move some of the pre-processing output's fitting errors has gone but some of them have a new error which is data lose from epi set. You can see and understand from the below images.

Here is my afni_proc.py again

 afni_proc.py -subj_id female4 -script proc.female4 -scr_overwrite -blocks \
     despike tshift align tlrc volreg blur mask regress -copy_anat         \
    /mnt/e/SemraHoca/Gr1/female/sub26183/anat/mprage_skullstripped.nii.gz \
    -anat_has_skull no -dsets                                             \
    /mnt/e/SemraHoca/Gr1/female/sub26183/func_1/rest.nii                  \
     -tcat_remove_first_trs 5 -align_opts_aea -giant_move -volreg_align_to \
     first -volreg_align_e2a -volreg_tlrc_warp -blur_size 4.0              \
     -regress_censor_motion 0.2 -regress_bandpass 0.01 0.1                 \
     -regress_apply_mot_types demean deriv -regress_est_blur_errts

There is not any new warnings or any errors. And it's output is below




This is my code for align after pre-process
@Align_Centers -base anat_final.Gr1+tlrc. -dset final_epi_vr_base+tlrc. -prefix PREFIX -cm
and is output is below


And when I use this code below;
1d_tool.py -infile dfile_rall.1D -quick_censor_count 0.2
it gives 2 by the way is this 0.2 refers for 0.2mm ?

Thanks!
Abdullah



Edited 1 time(s). Last edit at 07/25/2018 04:11PM by trabz.