Hi Sasha,
you want to pick them in a region where the wm intensity is lower than it
should be. That is, less than 110. In general, they can help recover thin
wm strands that are dark by putting some at the base of the strand. Note
that they will only have an effect if you put them at points
This is also what mri_surf2surf and mri_label2label do too. You can use
label2label to check your results as well by creating a label with your
given xyz point and mapping it to another subject.
Bruce Fischl wrote:
yes, that's basically what send to subject does in tksurfer. You can
use
I keep getting this error:matReaderHeader: couldn't allocate 1768711469 bytes for nameCannot allocate memoryany ideasOn Oct 3, 2005, at 1:35 PM, Doug Greve wrote:If your 4d spm volume looks like f_0001.img, f_0002.img, etc, thenmri_convert f_ -it spm --in_nspmzeropad 4 f_000.bshortshould do
You probably have a .mat file with each .img? This matfile is probably
matlab5 (or later), and we only read version 4. You can download the
most recent version of mri_convert which should ignore the matfile
ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve
On Mon, 3 Oct 2005,
Hi everybody,
I have some data from a Varian 4T scanner. I tried
mri_convert it sdt on it, and it
didnt work, complaining that it couldnt fine a
header file.
The data itself is in the following format: one big file,
named fid which basically
contains raw data, and an ASCI file name
Is there an easy way to generate a brain mask like aseg.mgz but with the
cortical parcellation included?
Thanks,
Satra
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