[Insight-users] Thin Plate Splines Registration

[Luis Ibanez]

Hi Frederic,

The different intensities scales of your two images will not
be a problem if you use one of the following metrics:

* Mutual Information
* NormalizedCorrelation

Note that there are about six variations of the Mutual Information
metric in ITK, any one of them will be insensitive to differences
in input intensity scaling.

For a full list of Image Metrics, please look at:
http://public.kitware.com/Insight/Doxygen/html/group__RegistrationMetrics.html

You could also, of course, rescale the intensities of the input
images by using filters such as:

* RescaleIntensityImageFilter
* IntensityWindowingImageFilter
* NormalizeImageFilter
* HistogramMatchingImageFilter


Note also, that, this is independent of the fact that you
are using a ThinPlate transform. That is, you would have
the same issue, regardless of what Transform, and Optimizer
and Interpolator you decide to use.


    Regards,


         Luis



------------------------------------------------------
2009/9/9 frédéric salvador <frederic.salvador at gmail.com>

> Dear all,
>
> I would like to register 3D CT images of the abdomen using the Thin Plate
> Splines Registration.
> My goal is to select a set of landmarks (6 or 7 for instance) both in a
> FixedImage and MovingImage, compute the transform from the MovingImage to
> the FixedImage, and apply this transform to the MovingImage (and finally
> save the RegisteredMovingImage as a ".mha" file).
>
> Actually, I already tried to implement such a process based on the
> "InsightToolkit-3.14.0/Examples/Registration/ThinPlateSplineWarp.cxx".
> The problem is that my output moving registered image presents intensities
> between 0 and 255, as it had been rescaled on 8 bits, whereas both my input
> images had intensities between lets say -1000 and +2000.
> Where does this come from?
> Is it possible to avoid this?
>
> Thank you very much in advance for your help.
>
> Best regards.
>
> Frederic Salvador
>
>
>
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