[Insight-users] different variations of demons registration
Zoltan Seress
seress.zoltan at gmail.com
Thu Feb 18 03:56:41 EST 2010
Hi,
Thanks for the answers. Then is there any reason to use
SymmetricForcesDemonsRegistrationFilter
if FastSymmetricForcesDemonsRegistrationFilter is at hand? Could be any
difference between the registration results of them?
On Thu, Feb 18, 2010 at 8:37 AM, Tom Vercauteren
<tom.vercauteren at gmail.com>wrote:
> Hi Zoltan,
>
> FastSymmetricForcesDemonsRegistrationFilter and
> SymmetricForcesDemonsRegistrationFilter use the same algorithm from
> Thirion. The only difference lies in the implementation. As
> illustrated by the name of the class,
> FastSymmetricForcesDemonsRegistrationFilter should just be faster...
>
> Tom
>
> On Thu, Feb 18, 2010 at 00:59, Luis Ibanez <luis.ibanez at kitware.com>
> wrote:
> > Hi Zoltan,
> >
> >
> > It seems that you missed the text from the header file:
> >
> > itkSymmetricForcesDemonsRegistrationFilter.h
> >
> >
> > <quote>
> > * This class was contributed by Corinne Mattmann, ETH Zurich,
> Switzerland.
> > * based on a variation of the DemonsRegistrationFilter. The basic
> modification
> > * is to use equation (5) from Thirion's paper along with the
> modification for
> > * avoiding large deformations when gradients have small values.
> > *
> > * SymmetricForcesDemonsRegistrationFilter implements the demons
> > deformable algorithm that
> > * register two images by computing the deformation field which will map
> a
> > * moving image onto a fixed image.
> > </quote>
> >
> >
> > Is this the information that you are looking for ?
> >
> >
> > The difference in computation time is due to the fact that this
> > class computes gradients of both the Fixed image and the
> > Moving image.
> >
> >
> >
> > Regards,
> >
> >
> > Luis
> >
> >
> >
> >
> --------------------------------------------------------------------------------------
> > On Wed, Feb 17, 2010 at 2:15 PM, Zoltan Seress <seress.zoltan at gmail.com>
> wrote:
> >>
> >> Hi all,
> >> I have browsed the classes of itk 3.16 to get some information about the
> >> variants of the demons registration. I have found these:
> >> 1, itkDemonsRegistrationFilter: this is the one algorithm by
> Thirion: "Image
> >> matching as a Diffusion Process: and Analogy with Maxwell's Demons"
> >> 2, itkPointSetToSpatialObjectDemonsRegistration: this is another
> algorithm
> >> by Thirion
> >> 3, itkDiffeomorphicDemonsRegistrationFilter: it is presented by
> Vercauteren
> >> (http://hdl.handle.net/1926/510) Algorithm 3 should be this one.
> >> 4, itkFastSymmetricForcesDemonsRegistrationFilter: it is also presented
> by
> >> Vercauteren (http://hdl.handle.net/1926/510) Algorithm 2 should be this
> one.
> >> 5, itkSymmetricForcesDemonsRegistrationFilter: There is no additional
> info
> >> in the description. Has not been this implementation published
> somewhere?
> >> All I know that it uses both the moving image gradient and the fixed
> image
> >> gradient, and it is approximately 3 times slower
> >> than itkDemonsRegistrationFilter. Can you tell me more about this
> filter?
> >> PS: I know about other variants such as log-domain diffeomorphic demons
> and
> >> symmetric log-domain diffeomorphic demons, but these are too much for
> once.
> >> --
> >> Zoli
> >>
> >> _____________________________________
> >> Powered by www.kitware.com
> >>
> >> Visit other Kitware open-source projects at
> >> http://www.kitware.com/opensource/opensource.html
> >>
> >> Kitware offers ITK Training Courses, for more information visit:
> >> http://www.kitware.com/products/protraining.html
> >>
> >> Please keep messages on-topic and check the ITK FAQ at:
> >> http://www.itk.org/Wiki/ITK_FAQ
> >>
> >> Follow this link to subscribe/unsubscribe:
> >> http://www.itk.org/mailman/listinfo/insight-users
> >>
> >>
> > _____________________________________
> > Powered by www.kitware.com
> >
> > Visit other Kitware open-source projects at
> > http://www.kitware.com/opensource/opensource.html
> >
> > Kitware offers ITK Training Courses, for more information visit:
> > http://www.kitware.com/products/protraining.html
> >
> > Please keep messages on-topic and check the ITK FAQ at:
> > http://www.itk.org/Wiki/ITK_FAQ
> >
> > Follow this link to subscribe/unsubscribe:
> > http://www.itk.org/mailman/listinfo/insight-users
> >
>
--
Zoli
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.itk.org/pipermail/insight-users/attachments/20100218/e089c4f4/attachment-0001.htm>
More information about the Insight-users
mailing list