Hi Victor,
I don't think we've seen that, at least I never have. If you have a
subject that this happens to can you upload it for us with the first set
of control points that result in missing a lot of surface (together with
the poor surfaces)?
cheers
Bruce
On Fri, 26 Feb 2010, Laluz, Victor w
Hello,
Throughout most of Freesurfer's version history, I have noticed this problem
pop up every 50 or so cases I do:
I will have a pretty well-processed surface but with some inaccuracies in the
WM surface, I will put control points down to correct it, and reprocess with
autorecon2-cp as usua
yes, that is right.
doug
Georg Homola wrote:
> Hi,
>
> following these refs I've found on the list and the mri_glmfit help, I
> assume the cluster-wise probability of the permutation simulation is based
> on cluster mass inference, is that right?
>
> Thanks,
> Georg
>
>
> Statistical Science 200
You can specify that there are 4 trial types (AA, AB, BA, BB), and give
the duration twice that of the individual.
doug
Gaber, Tilman wrote:
> Dear mailinglist recipients,
>
> I am currently planning an optimized experiment using optseq2 and a 2x2
> factors behavioral response task (Simon-task
Yes -- that's exactly right. The '--discrete' is also the default so doesn't
need to be specified. The '--continuous' uses the old curvature engine.
You will notice that each engine option results in slightly different curvature
values.
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-Original Message
Hi, there,
I have scans from two time points, and they have been cross-sectionally
processed.
But both of they missed some white matter in some slices, so I manually add
control points
to them, and re-run it. Both of them look fine now.
Then, I send them to longitudinal stream. After the -ba
not sure about --continuous, Rudolph will know. The quadratic patch stuff
is in mris_cuvature, but maybe also in mris_curvature_stats
On Fri, 26 Feb 2010, Lisa Ronan wrote:
> Many thanks for that. Am I correct in thinking that the Gauss_Bonnet scheme
> is given by the "--discrete" option in mris
Many thanks for that. Am I correct in thinking that the Gauss_Bonnet scheme
is given by the "--discrete" option in mris_curvature_stats, while the
latter option is given by the "--continuous" flag?
L
On Fri, Feb 26, 2010 at 1:46 PM, Bruce Fischl wrote:
> Hi Lisa,
>
> we actually provide a discr
Hi Gergely,
overlay the aseg.mgz on the norm.mgz in tkmedit and you can visually verify
if it's accurate. If not, you can edit it with the tools in tkmedit. We do
have some internal tools for VBM-style analysis but rarely use them as the
results are so ambiguous. It should be easy enough to stu
Hi Lisa,
we actually provide a discrete estimate using Gauss-Bonnet (Rudolph can
give you the details), and a slightly larger-scale estimate by fitting a
quadratic patch to each neighborhood (5mm on a side I think). The curvature
then comes from the Hessian of the height function of that patch.
Hi all!
We have processed 100 subjects with autorecon.
I'd like to know how to check the cerebellum segmentation on the
subjects. It would be crucial, because the images are a bit dimmer at the
lower areas (it's far from the isocenter) and despite the intensity
normalisation it still has lower int
Dear mailinglist recipients,
I am currently planning an optimized experiment using optseq2 and a 2x2 factors
behavioral response task (Simon-task).
The task consists of a pseudo-randomized series of two kinds of trials
(congruent and incongruent).
In addition there is a sequential factor, i.e.
Hi All
I wonder could you tell me how Gaussian curvature values are computed at a
vertex, i.e. Gauss_Bonnet scheme? Is there any way to vary the neighborhood
over which the vertex curvature values are computed?
Thanks for your help,
Lisa Ronan
- - - - - - - - - -
Research Associate
Brain Mappi
Hi Jeff,
I see this relatively often. Eventhough the talairach registration is fine, the
ICV is underestimated. In this case I take old ICV, which helps.
mri_segstats --subject $MYSUBJECT --old-etiv-only
This is in 99% of these cases a cure. This is not just a blind attempt. In
these cases I
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