[Insight-developers] Some question on ITK registration framework

[Stephen Aylward]

Perhaps a few of the papers in the Insight Journal will be useful:

http://www.insight-journal.org/browse/publication/83

http://www.insight-journal.org/search/?search=deformation

Stephen

On Fri, May 8, 2009 at 4:18 PM, Guorong Wu <grwu at email.unc.edu> wrote:
> Hi all,
>    I am recently developing an registration algorithm (HAMMER) in ITK.
> Basically, We want to start the work by following the Demons implementation
> in ITK,  since ITK has a good registration framework. But after we have
> implemented the registration function, we have the problem in registration
> filter.
>   For the registration methods in ITK, most of them assume that the
> calculation of each point is not only INDEPENDENT with its nearby points,
> but also the operation is same (compute the difference and the gradient).
> Therefore, it takes advange of multi-thread to speed up. Besides, the
> calculation of update deformation field is performed on each point,
> regardless of back ground points or image points.
>   However, HAMMER is different. First, the calculation of deformation is the
> result of feature matching, instead of gradient-based. In each iteration,
> the update is performed point by point, where the update on particular point
> will be affected by the result of previously updated one. Second, a set of
> salient point will be selected to update the correspondence, not all. The
> deformation of other points are just interpolated from these salient points.
>   Therefore, we consider Demons implementation may be not the best class to
> derive from or we need to rewrite the framework which take the same role of
> itk::DenseFiniteDifferenceImageFilter. And we are not sure if there is any
> filter in ITK which is similar with our case.We highly want your suggestion
> to solve our problem. Thanks.
>
> Best
> GR
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-- 
Stephen R. Aylward, Ph.D.
Director of Medical Imaging
Kitware, Inc. - North Carolina Office
http://www.kitware.com
(518) 371-3971 x300