Hi,
I want to know that how can I convert FreeSurfer .thickness files to AFNI
readable format
I tried the following Command but it gives error
mri_convert /home/naveed/freesurfer/subjects/CHR01/surf/rh.thickness
/media/Freesurfer_Data/Processed/AFNI_format/CHR/CHR01/rh.brik
$Id:
Dear experts,
I ran recon-all with qcache. When loading the right hemisphere of fsaverage
(or any other surface reconstruction) into tksurfer (for example command:
tksurfer fsaverage rh white), the left hemisphere surface is displayed, and
it is upside down. When I import annotations they
Hi Muhammad
try:
set sdir=/home/naveed/freesurfer/subjects/CHR01/surf
mris_convert -c $sdir/rh.thickness $sdir/rh.orig $sdir/rh.thickness.brik
cheers
Bruce
On Mon, 6 Jan 2014, Muhammad Naveed Iqbal Qureshi wrote:
Hi,
I want to know that how can I convert FreeSurfer .thickness files to AFNI
Hello Happy New Year!
I'm running recon-all for one subject on MGH clusters (ERISone), and it
exits with error. I would appreciate it if you help me figure out what the
problem is. The log file is attached.
All the best throughout 2014!
Emad
Emad Ahmadi, MD
it probably doesn't matter, but Doug is the Talairach expert, so perhaps
he can comment
Bruce
On Mon, 6 Jan 2014, Rotem Saar wrote:
Dear freesurfer experts,
I'm performing anatomical segmentation for Philips dicoms (3T scanner). I
got these two images from the same slice while performing
Hi!
I have a volume in MNC format that contains labels, and I was wondering
whether there is a way to quickly convert them into Freesurfer labels?
Within the MNC file, voxels belonging to one label all have the same
intensity value, which is, however, not in RGB space but just a single
number,
Hi Caspar,
One thing you can do, if you have the label correspondences between your
lables and the FS ones, is to use mri_binarize with the --replace option
in your volumes.
--replace V1 V2 : replace voxels=V1 with V2
For label descriptions you can loook up
Hello, FreeSurfer experts,
We made two T1 scans for each subject at each session, will they be helpful
for better recon-all results? Shall I average them and process the averaged
T1 image? Let me know please.
Thank you,
Hai
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Freesurfer mailing list
Than you can use mri_binarize with the --match flag.
--match matchval
--Lilla
On Mon, 6 Jan 2014, Caspar M. Schwiedrzik wrote:
Hi Lilla,
unfortunately, there is no correspondence between the Freesurfer labels and
the labels in the MNC volume at this point.
I would simply like to convert
Hi Hai
it really depends on your coil and field strength, and whether either is
motion-corrupted. For 3T 32 channel data our somewhat ad hoc opinion is
that one is better than two (due to blurring induced by interpolation),
but it's really a case-by-case decision.
sorry that there isn't an
Thank you so much, Bruce.
On Mon, Jan 6, 2014 at 3:38 PM, Bruce Fischl fis...@nmr.mgh.harvard.eduwrote:
Hi Hai
it really depends on your coil and field strength, and whether either is
motion-corrupted. For 3T 32 channel data our somewhat ad hoc opinion is
that one is better than two (due
Hi Caspar
can you describe in more detail what you are trying to do. Do you mean to
sample each unique label into a surface label format? Do you have
surfaces for this subject?
cheers
Bruce
On Mon, 6 Jan 2014, Caspar M. Schwiedrzik wrote:
Hi Lilla,
unfortunately, there is no correspondence
oh, it's only 62 slices? So is it not whole brain? Or are they thick
slices? Either way that is probably a show stopper
On Mon, 6 Jan 2014,
Boric, Katica A. wrote:
Hi Bruce!
Thank you very much for your response!
The input image I used was .dcm of a Sagital MPR with 62 slices.
As for the
Hi Bruce and Lilla,
I have a MNC volume that contains area labels, ie voxels belonging to one
label all have the same intensity value.
I am trying to get this converted into Freesurfer label files for further
analysis in volume space. Following Lilla's advice, I am first using
mri_binarize with
Hi Bruce!
So it is the whole brain! Unfortunately, this is the available serie with the
most number of slices!!
At least we tried!
Thanks Bruce!
Katica
From: Bruce Fischl [fis...@nmr.mgh.harvard.edu]
Sent: Monday, January 06, 2014 3:58 PM
To: Boric,
what is the slice thickness? Usually we recommend no dimension be thicker
than 1.5mm or so
On Mon, 6 Jan 2014, Boric, Katica A. wrote:
Hi Bruce!
So it is the whole brain! Unfortunately, this is the available serie with the
most number of slices!!
At least we tried!
Thanks Bruce!
Katica
Its 1mm!
But I found a newer study for the subject, so I will try this new one and if it
still does not work, I will email back!
Thanks so much again!
Katica
From: Bruce Fischl [fis...@nmr.mgh.harvard.edu]
Sent: Monday, January 06, 2014 4:27 PM
To: Boric,
1mm and 60 slices covers the whole brain? Usually it requires more like 160
slices.
On Mon, 6 Jan 2014, Boric, Katica
A. wrote:
Its 1mm!
But I found a newer study for the subject, so I will try this new one and if
it still does not work, I will email back!
Thanks so much again!
Katica
Hello FreeSurfer team.
I am currently trying to learn the general usage of FreeSurfer and have
run into problems with unpacking DICOM files.
When I run:
unpacksdcmdir -src ~/freesurfer_dicom/buckner_data/tutorial_subjs/014-anon
-targ ~/fs_subjects/014-anon -scanonly
Not sure. Try running
mri_convert 001.dcm deleteme.mgh
if it fails, capture the screen output and send it to the list
doug
On 01/06/2014 06:31 PM, Anders Olsen wrote:
Hello FreeSurfer team.
I am currently trying to learn the general usage of FreeSurfer and
have run into problems with
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