[Insight-users] Is there way to speed up cross-correlation based deformable registration?

[Aviv Hurvitz]

See if you can use the elastix program (which is based on ITK code).
http://elastix.isi.uu.nl/index.php

It has several speed improvements:
1. You can specify samples.
2. It utilizes the sparse Jacobian of the B-spline transform for faster
computation of the metric gradient.
3. You can use a multiple resolution strategy, both for the images and for
the B-spline transform itself.

- Aviv


On Mon, Jun 2, 2008 at 9:20 PM, Jian Yang <yaland1977 at gmail.com> wrote:

> Hi all,
>
> I'm currently working on deformable registration of CT images. I'm using
> cross-correlation (DeformableRegistration6.cxx) and mutual information
> (DeformableRegistration15.cxx) metrics with a B-Spline Deformable Transform
> in a 300*208*241 3D image.
>
> It seems that the example DeformableRegistration15.cxx  works much faster
> than example DeformableRegistration6.cxx. I guess example
> DeformableRegistration6.cxx  is time consuming since it is performed on the
> whole image. And the Mattes Mutual Information metric works faster because
> it allows to take samples (SetNumberOfSpatialSamples) in the image instead
> of taking all voxels. So, I am wondering is there way to do the same thing
> in the cross-correlation metric to make it faster?
>
> Thank you very much for your reply.
>
>
> Best Regards,
>
>
> Jian
>
> _______________________________________________
> Insight-users mailing list
> Insight-users at itk.org
> http://www.itk.org/mailman/listinfo/insight-users
>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.itk.org/pipermail/insight-users/attachments/20080602/e57dbe3f/attachment.htm>