Thank you for your help!
I created a registration template and atlas from scratch could I input that in the interhemispheric registration analysis?
The ROIs for the diffrerent regions per hemisphere are 50-100 vertices
It would depend on how big the ROI is to begin with. Do you know that we
have our own interhemispheric analysis that might be better for this?
Check out
http://surfer.nmr.mgh.harvard.edu/fswiki/Xhemi
On 10/24/2016 12:33 PM, Daya P wrote:
> Hi Bruce,
>
> I drew ROIs on an initial subject and then after registering all other
> subjects to the initial one, used mri_label2label to map the ROIs from
> the initial subject to subsequent ones.
> I am interested in looking at asymmetry between left and right regions.
>
> I had two concerns, one that the ROIs have different # vertices on
> different subjects, but as you mentioned the nonlinear process makes
> sense, since each subject does not have the exact same brain size and
> curvature.
>
> Another concern was that the ROIs on the left and right hemisphere in
> a subject do not have the exact same number of vertices. Would a
> difference of 10 vertices max bias results?
>
> Thank you for your help,
>
> Daiana R. Pur
> Research Assistant
> Canadian Surgical Technologies & Advanced Robotics
> Brain and Mind Institute
> Western University
> London, ON, N6A 5B7
> Canada
>
> On Mon, Oct 24, 2016 at 12:09 PM, Bruce Fischl
> <fischl@nmr.mgh.harvard.edu <mailto:fischl@nmr.mgh.harvard.edu >> wrote:
>
> Hi Daiana
>
> yes, that is to be expected given the nonlinear nature of the
> cross-subject registration. It shouldn't bias things, although
> you'll need to give us more details if you want a more definitive
> answer.
>
> cheers
> Bruce
>
>
>
> On Mon, 24 Oct 2016, Daya P wrote:
>
> Hi All,
>
> My question is about using mri_label2label. When mapping the
> labels from one
> subject to another the number of vertices of each ROI is
> different. Is that
> something to be expected?
>
> How much of a difference does a number of vertices of 50
> compare to 40 have
> on measures like thickness, grey matter and surface area?
>
> I would really appreciate some help
>
> Thank you,
>
> Daiana R. Pur
> Research Assistant
> Canadian Surgical Technologies & Advanced Robotics
> Brain and Mind Institute
> Western University
> London, ON, N6A 5B7
> Canada
>
>
>
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