[Insight-users] registration using rotation + translation

[Kevin Neff]

Thanks, Dan.  I used the example ImageRegistration8.cxx with my data.

First, it's terribly slow.  Is there anything I can do to speed it up?  In
my limited experience, applying a threshold first and skipping rotation of
voxels below the threshold helped.  Or could I pre-compute isotropic voxels
and skip the interpolation that follows image rotation and just interpolate
the final solution?  Any suggestion is welcome!

Second, after 200 iterations,  the output does not appear correct.  I ran it
with data that had the dimensions 13888x560x48 and 1388x560x53 but the
output had the dimensions 13888x560x48.  The volumes were of the shell of a
large object, rotated 90 deg, so I'm sure the dimension of the output should
have been much larger---something like 1388x1000x100.

KLN





On Sun, Nov 21, 2010 at 7:55 AM, Dan Mueller <dan.muel at gmail.com> wrote:

> Hi Kevin,
>
> I highly recommending the entire ITK Software Guide:
>    http://www.itk.org/ItkSoftwareGuide.pdf
>
> For your specific question, see section 8.8.
>
> In short:
>
> IdentityTransform: identity
> TranslationTransform: n-D translation
> ScaleTransform: n-D scaling
> CenteredRigid2DTransform: 2-D rotation + translation
> Similarity2DTransform: 2-D scaling + rotation + translation
> VersorTransform: 3-D rotation
> VersorRigid3DTransform: 3-D rotation + translation
> Similarity3DTransform: 3-D scaling + rotation + translation
> AffineTransform: n-D scaling + rotation + translation + shear
>
> HTH
>
> Cheers, Dan
>
> On 21 November 2010 13:49, Kevin Neff <kevin.l.neff at gmail.com> wrote:
> >
> > I need to register images using rotation and translation.  Is that
> possible
> > with theITK classes, or do I have to write my own?
> >
> > I'm basing this question on a translation-only example and the list of
> > classes derived from AffineTransform
> >
> > http://www.itk.org/Wiki/ITK_Image_Registration
>
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