[Insight-users] about multi-modality 3D registration

[Yixun Liu]

Hi,

Thank you! 
If I have a 3D Brain MRI and a Virtual Human 3D Brain dataset and the MRI comes from a patient, who is different from the virtual human. How to register them?  I think I should first rigidly register and then non-rigidly rigister.In my opinion, the VersorRigid3D may be failed because it cannot scale and the two brains are different in size. I want to use a  transform, which can translate, rotate, scale at the same time. Should I use the Affine firstly and then BSpline?

Thank you!


Best regards,

Yixun Liu





----- Original Message ----- 
From: "Luis Ibanez" <luis.ibanez at kitware.com>
To: "Yixun Liu" <yxliu at fudan.edu.cn>
Cc: <insight-users at itk.org>
Sent: Tuesday, December 21, 2004 5:43 AM
Subject: Re: [Insight-users] about multi-modality 3D registration


> 
> Hi Yixun
> 
> 1) for MRI to CT, you may want to start with the VersorRigid3DTransform.
> http://www.itk.org/Insight/Doxygen/html/classitk_1_1VersorRigid3DTransform.html
> 
>    if after registering with this transform, you still find that
>    there are corrections that need to be made, then you can refine
>    with the AffineTransform.  At that point you want to inintialize
>    the AffineTransform with the Matrix produced from your VersorRigid3D
>    registration
> 
>    Note that you only need Affine refinement if you find one of the
>    two remaining missregistration:
> 
>          A   Scaling
>          B   Shearing
> 
> 
>    If what you see is that there is still some rotation or translation
>    to correct, then what you need to do is to further refine the
>    parameters of the Rigid registration.
> 
> 
> 
> 2) For Deformable registration you may want to try BSplines first.
>    you will have the advantage that you can introduce the Transform
>    resulting from your registration in (1) as the pre-transform to
>    be applied before your BSpline transform. That will give you
>    some continuity in your work flow.
> 
>    Note that in both cases you will have a lot of parameters
>    to fine tune, and in both cases you will have to deal with
>    long computational times.
> 
> 
> 
>   Regards,
> 
> 
>      Luis
> 
> 
> --------------
> Yixun Liu wrote:
> 
> > Hi,
> >  
> > I have a 3D MRI and a 3D CT dataset. I want to register them. Their 
> > differences are  the rotation, translation and scaling. The metric is 
> > definitely  the MI, but which transform will I take? The Affine or the 
> > Versor?  If one of the dataset deforms, I also need to non-rigidly 
> > register them. Bspline or FEM?
> >  
> >  
> > Thank you in advance!
> >  
> > Regards,
> >  
> > Yixun Liu
> > 
> > 
> > ------------------------------------------------------------------------
> > 
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> 
> 
> 
>