[Insight-users] Deformable Registration

[Luis Ibanez]

Hi Kathrin,


 From your description, it seems to be reasonable to
solve this problem by using Deformable Registration.

However, depending on the characteristics of your images,
this may end up being a trivial process for less than
an hour or...  a Ph.D. dissertation

Note that deformable registration is a computationally
intensive task. It may be an overkill for the problem
that you are trying to solve. In particular in 3D.

You may want to consider fitting a geometrical model to
the ellipse in one image, and then fitting a similar model
to the other image.  This can be done with the

         SpatialObjectToImageRegistration

You will find a description of this concept on the
ITK Software Guide


     http://www.itk.org/ItkSoftwareGuide.pdf


Section 8.14 "Model based registration", pdf-page 328.


If you want to give it a try to the DeformableRegistration
algorithms, probably BSplines is the one that will give
you a good balance between flexibility and computational
time. You will find examples for all the Deformable Registration
algorithms in ITK under the directory:


            Insight/Examples/Registration




Are the ellipses in the 3D images easily recognizable ?

or are they immersed in a strong level of noise ?




Please let us know,


    Thanks


       Luis



----------------
kathrin wrote:

> Hello,
> 
> I wonder if the following problem can be solved with deformable 
> registration:
> I'd like to choose a point in a 3D image and I want the registration 
> algorithm to find the position of the
> same point in an other 3D image. The point is part of an ellipse, so 
> it's no vertex.
> The two images illustrate the same object at two different points of 
> time. During the period of time, the
> shape of the objects warps.
> Is it possible to solve this point corresponding problem with deformable 
> registration? If so, can you
> tell me, which registration algorithm to use?
> 
> Thanks,
> Kathrin
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