missing something?
Thanks,
--
Linda Douw, Ph.D.
Research fellow
Department of Radiology
Athinoula A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital
Harvard Medical School
149 13th Street
Charlestown, MA 02129
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Freesurfer
for height (1, usually 256) in volume structure
I should probably use mri_vol2vol first, but which target volume should I
then use? Or is there something else I'm doing wrong?
Thanks for your help!
--
Linda Douw, Ph.D.
Research fellow
Department of Radiology
Athinoula A. Martinos Center
and mri_segstats
To: freesurfer@nmr.mgh.harvard.edu
Message-ID: 5025264e.3030...@nmr.mgh.harvard.edu
Content-Type: text/plain; charset=ISO-8859-1; format=flowed
what are your command lines?
doug
On 08/09/2012 01:21 PM, Linda Douw wrote:
Dear Freesurfers,
I'm trying to extract the average waveforms
not have any
voxels in your parcellation. Eg, #82:
8282 ic4.tri_vertex_82 0
So the problem appears to be with mris_make_face_parcellation, not with
mri_segstats.
doug
On 09/10/2012 10:56 AM, Linda Douw wrote:
Hi Doug,
Output and sumfile are attached. Any ideas?
Linda
Message: 10
to check it out.
Thanks so much,
--
Linda Douw, Ph.D.
Research fellow
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The information in this e-mail is intended only for the person
But here the entorhinal was also in the wrong place.
Do you know how to fix this?
Thanks,
--
Linda Douw, PhD.
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The information
:
mri_vol2vol --targ lh_entorhinal.nii.gz --mov MNI152_T1_2mm.brain.nii.gz
--o lh_entorhinal_MNI.nii.gz --reg
$FREESURFER_HOME/average/mni152.register.dat --inv
doug
Linda Douw wrote:
Hi all,
I am trying to transform some labels from the aparc to masks in MNI
space.
Ideally, I would like to do
in the
aparc+aseg since it fills in the ribbon:
mri_binarize --i aparc+aseg.mgz --match 1006 --o lh_entorhinal.nii.gz
1006 comes from $FREESURFER_HOME/FreeSurferColorLUT.txt
doug
Linda Douw wrote:
Hi Doug,
Thanks for the reply. This cmd makes it slightly better I guess, but
still
definetely
Hi all,
I have nifti files containing the surface-projected time series data of a
subject (obtained using procsurffast), both lh and rh. These time series
are projected onto fsaverage5, and are 3414 x 1 x 3 time points, where
3414*3 = 10242 are the number of vertices for each hemisphere.
Now, I
, but
you need the coordinates of the labels for that. In my case, I've made my
own parcellation by using mris_divide_parcellation, so then I would have
to know where to find the coordinates (I don't).
And do you think this is the most efficient method?
Thanks!
--
Linda Douw, Ph.D
to get a different result?
Thanks!
--
Linda Douw, Ph.D.
Research fellow
Department of Radiology
Athinoula A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital
Harvard Medical School
149 13th Street
Charlestown, MA 02129
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Freesurfer
, Linda Douw wrote:
Hi all,
I would like to make a fine-grained surface parcellation from aparc -
let's say 500 labels, and I would like the labels to be more or less
isometric. When subdividing the parcellation with
mris_divide_parcellation, the labels become very stretched instead
going
from a template to dicoms is not that easy.
I'd appreciate any tips!
--
Linda Douw, Ph.D.
Branco Weiss fellow
Department of Radiology
Athinoula A. Martinos Center for Biomedical Imaging
Massachusetts General Hospital
Harvard Medical School
149 13th Street
Charlestown, MA 02129
Hi Doug,
What is your preferred citation for FsFast (used for resting-state)? I
couldn't really find a clear answer in the Zotero library or mail
archives.
Thanks and happy holidays!
Linda
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