[MINC-users] Segmentation: Handling poor T1 contrast?

[Andrew Janke]

Hi Gabriel,

If the images are consistent in their contrast my approach is to build
a nonlinear model from them, match the model to the another with
"correct" contrast and then build a joint histogram between them, fit
a polynomial to the result and then use this to remap intensities on
the originals. It isn't perfect but it does help a bit.  There was a
tool called PolFit some years ago by Sylvain Prima when he was
visiting Louis lab, not sure if it ever made it to release or not. Its
primary application was to assist with registration between image
types by building a synthetic intermediate image. Vlad may know for
sure.

ta


a


On 3 August 2016 at 04:24, Gabriel A. Devenyi <gdevenyi at gmail.com> wrote:
> Hi all,
>
> I was wondering if anyone could recommend any tricks to deal with T1 scans
> with poor contrast (likely due to inappropriate T1 parameters?). I'm trying
> to do some grey/white segmentation and the lack of contrast is causing
> issues.
>
> Thanks!
>
> --
> Gabriel A. Devenyi B.Eng. Ph.D.
> Research Computing Associate
> Computational Brain Anatomy Laboratory
> Cerebral Imaging Center
> Douglas Mental Health University Institute
> Affiliate, Department of Psychiatry
> McGill University
> t: 514.761.6131x4781
> e: gdevenyi at gmail.com
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