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Dear AFNI users-
We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:
https://discuss.afni.nimh.nih.gov
Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.
The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.
Sincerely,
AFNI HQ
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Thank you for the very clear explaination.
-volreg_warp_dxyz 2.0 indeed reduced the output size, but down to ~1.9GB, still too large.
So i further increase the voxel size to 3.0, this works perfectly fine and I was able to finish my analysis.
Many thanks to your help.
Best,
by
ttngu207
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AFNI Message Board
The original fMRI volume size is 360MB, after align_epi_anat process, the output volume is 2.8GB, which eventually crash 3dDeconvolve.
Any suggestions are greatly appreciated.
Best,
by
ttngu207
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AFNI Message Board
Dear experts,
As I visualize the fMRI activation map on the surfaces (generated by Freesurfer) using SUMA (@SUMA_Make_Spec_FS), I see that there is only the option to save the "view", but not to save the actual overlay values at each vertices (similar to a ".w" file in Freesurfer).
Is there away to accomplish this? Or perhaps a text file of overlay values at each vertices
by
ttngu207
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AFNI Message Board
Thank you for your reply,
"3dinfo session1_raw.nii | grep extents" only output this:
++ 3dinfo: AFNI version=AFNI_16.0.19 (Mar 29 2016) [64-bit]
but "mri_info session1_raw.nii" output this:
Volume information for session1_raw.nii
type: nii
dimensions: 128 x 128 x 24 x 240
voxel sizes: 1.7969, 1.7969, 4.0000
type: FLOAT (3)
fo
by
ttngu207
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AFNI Message Board
Dear experts,
My alignment process align_epi_anat.py results in very large data size (upto 2.8GB per volume, from the original size of ~300MB), which would crash the subsequent 3dDeconvolve process. Any suggestions are appreciated, or please point me to the right post (if this problem has been reported). Thank you in advance.
The "cmd" script:
# run afni_proc.py to create a singl
by
ttngu207
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AFNI Message Board