[Insight-users] Which Kernel transform to use with Point Set Registration

[Luis Ibanez]

Hi Aya,


Do you need a Deformable Transform ?


Typically you should start a point set to point set registration
by just using a Rigid Transform.  For example by using
ICP (iterative closest points), as described in the examples:

Insight/Examples/Registration/
    IterativeClosestPoint1.cxx
    IterativeClosestPoint2.cxx
    IterativeClosestPoint3.cxx


....

but..

Should you really need to use KernelTransforms, please note
that they will require you to provide point correspondences.

That is, you should know what point of the FixedCollection of
points, correspond to what point of the MovingCollection of
points.

If you have such correspondences, then you could use any
of the following KernelTransforms:

       itkThinPlateSplineKernelTransform.h
       itkThinPlateR2LogRSplineKernelTransform.h
       itkElasticBodySplineKernelTransform.h
       itkElasticBodyReciprocalSplineKernelTransform.h
       itkVolumeSplineKernelTransform.h



     Regards,


             Luis



------------------------------------------------------------
On Wed, Feb 17, 2010 at 9:49 AM, Aya El Gebeely
<aya.elgebeely at symbyo.com> wrote:
> Dear ITk Users,
>
>  Currently I'm using Point Set to Point Set registration method, in order to
> register two medical images, given set of points for each image [fixed &
> moving]
>
> I need to use KernelTransforms, so which one to use, it was mentioned in the
> ITk S/W guide to use any of the itk::KernelTransform family of classes..
>
> Do you have any recommendations ?
>
> Thanks in advance,
>
> Aya R. ElGebeely
>
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