[Insight-users] Creating and Using Spatial Objects from Labeled Images

[Luis Ibanez]

Hi Harvey,

You may want to reconsider the large picture of what your overall
goal is, and separate it from the ITK methods that will bring you
there.

If your final goal is to perform registration of segmented objects,
then there is not much advantage in involving Spatial Objects
in the process.

You could just as well compute Image Moments from binary
images (even if they have been extracted from a set of connected
components), and then use that to initialize a transform.

Beyond that, you simply need to use any of the image metrics
that are suitable for labeled (or binary) images.  In particular
you may want to consider the

     itkMatchCardinalityImageToImageMetric.h


  Regards,


       Luis



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On Tue, Aug 11, 2009 at 6:20 PM, Neal R. Harvey <harve at lanl.gov> wrote:

> I would like to be able to start using more of the ITK functionality, with
> regard to registration.
>
> In particular, I would like to register objects that I have segmented.
>
> The result of the segmentation is a labeled connected component image
> (created using  ConnectedComponentImageFilter followed by
> RelabelComponentImageFilter).
>
> Now, I would have thought that the next step would be to create a
> collection of spatial objects
> and calculate some characteristics of these objects (such as orientation,
>  etc.) that might be useful
> in the subsequent registering of the objects.
>
> However, regarding this step of taking the labeled connected component
> image and creating the
> spatial objects, I can't seem to find any good documentation for doing
> that. I would have thought
> that this was quite common practice and there would be ample tools and
> associated documentation.
> However, I have come up short so far in my searches.
>
> I found a document entitled "Label Object Representation and Manipulation
> with ITK" by G. Lehmann,
> which I thought was going to be helpful. But, it hasn't so far.
>
> Any help with this would be much appreciated.
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