Hi Ignacio,
the thickness is definitely affected by factors such as sequence type,
field strength and acquisition parameters (not to mention age, maybe
gender, etc...) so I think you need to acquire your own control(s) on a
matched acquisition.
cheers.
Bruce
On Tue, 5 Jul 2011, Ignacio Letelier wrote:
Hi Bruce,
Otherwise, is it possible to simply compare my T1 brain acquisition (with
dysplasia suspicion) with a 'normal template' (which maybe bert) to
determine whether there exist any anomaly in the cortical thickness ? and,
is it possible to visualize these potential differences using a color map
scaling?
Thanks in advance-
Best regards.
Ignacio.
2011/7/3 Bruce Fischl <fis...@nmr.mgh.harvard.edu>
Hi Ignacio,
I see. You could do that, but I don't think it will show what
you want. There is a big geometric component to the thickness -
crowns are thick and fund are thin - so at the very least you
might try including mean curvature as a covariate.
cheers
Bruce
On Fri, 1 Jul 2011, Ignacio Letelier wrote:
Sorry I didn't realize since you have the same domain.
Ok, Let's say I do know the mean cortical thickness value
of a subject. Then
is it possible know what brain areas differ more from
that mean value by
using a color map visualization (I.e. for example: red =
higher deviations,
deep blue = lower deviations)? So this way I can determine
where there may
exist some kind of dysplasia.
Best regards.
2011/7/1 Bruce Fischl <fis...@nmr.mgh.harvard.edu>
can you post this kind of thing so others can answer?
I still
don't understand though. stdv of what?
On Fri, 1 Jul 2011, Ignacio Letelier wrote:
Let's say I want to know if there is a way to know
where
is the highest stdv in the same subject, using a
color map
visualization in qdec or something?
Best regards.
2011/7/1 Bruce Fischl <fis...@nmr.mgh.harvard.edu>
Hi Ignacio
you mean different from the median in that
subject?
Easy enough to do in matlab, but we don't have
anything
out of the box to do it
cheers
Bruce
On Fri, 1 Jul 2011, Ignacio Letelier wrote:
Hi forum
Is it possible to get statistical maps of
cortical
thickness differences in the same subject? I.e. to
know
what areas differ most from the median
--
Ignacio
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