[Insight-users] Applying two 2D registration transforms into a 3D image

[Ganesh Narayanasamy]

The main reason for not doing a 3D-3D registration is that we do not, obviously, have the luxury of acquiring 3D data sets every time the patients come by. The 3D-CT scan is acquired once with which radiotherapy planning is done initially. After that visit, the patients are scanned daily using a kV-imager twice that gives two 2D images in orthogonal planes (as described below).
I think these 2 orthogonal projection images have enough information to be considered "equivalent" to a 3D image. Am i right ? If not, then why not?

When these 2 orthogonal projection images acquired on 2 different days are registered to each other, I would like to obtain the corresponding deformation fields in XZ and YZ. For every point P in the fixed image, I want to evaluate its new location P' in the moving image (using say, WarpImageFilter).


Thank you,
Ganesh

************************************************************************

"What the mind of man can conceive and believe, It can achieve" - Napolean Hill

-Ganesh 
Narayanasamy,Ph.D., PostDoc-University of Kentucky Cancer Center

Earlier work: 
http://www.sciencedaily.com/releases/2007/05/070504133017.htm

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> Date: Thu, 8 Apr 2010 14:43:28 -0400
> Subject: Re: [Insight-users] Applying two 2D registration transforms into a 3D 	image
> From: luis.ibanez at kitware.com
> To: nganesh76 at hotmail.com
> CC: insight-users at itk.org
> 
> Hi Ganesh,
> 
> Thanks for the detailed description of the problem that you are working on.
> 
> Unfortunately, the deformation fields of the two 2D deformable registrations
> do not carry enough information for you to do a 3D deformation of the T1
> and T2 original 3D-images.
> 
> 
> Any reason for not doing real 3D deformable registration in the
> original images ?
> 
> [...ITK will do registration on N-D images...]
> 
> 
>    Please let us know,
> 
> 
>          Thanks
> 
> 
>                Luis
> 
> 
> 
> ------------------------------------------------------------------------------------
> On Wed, Apr 7, 2010 at 1:06 PM, Ganesh Narayanasamy
> <nganesh76 at hotmail.com> wrote:
> >
> > I have a pair of 3D-CT images acquired on a phantom with some internal
> > changes (known).
> > A 2D-DRR (digitally reconstructed radiograph)  image is constructed such
> > that the pixel value on the DRR image should be given by the accumulated
> > intensities of the 3D image volume along the direction. With the T1 or fixed
> > 3D-CT image, we have created two such DRRs, say along the XZ and YZ axes.
> > Let us call these 2 DRRs as T1DRR_XZ and T1DRR_YZ.
> >
> > Likewise, we have created 2 DRRs from the T2 3D-CT image namely, T2DRR_XZ
> > and T2DRR_YZ.
> >
> > Using a deformable 2D registration model (say, Bspline), we would like to
> > register T1DRR_XZ with T2DRR_XZ and also T1DRR_YZ with T2DRR_YZ. From these
> > 2 transformations along the 2 orthogonal planes (XZ and YZ), is it possible
> > to "compute" the 3D transform between the two 3D-CT images ?
> >
> > Can I then "apply" these two 2D transforms or the single computed 3D
> > transform into the T1 image to obtain a T(T1) image that is comparable with
> > the T2 image.
> >
> > Thanks a ton,
> > -Ganesh
> >
> >
> > ************************************************************************
> > "What the mind of man can conceive and believe, It can achieve" - Napolean
> > Hill
> > -Ganesh Narayanasamy,Ph.D., PostDoc-University of Kentucky Cancer Center
> > Earlier work: http://www.sciencedaily.com/releases/2007/05/070504133017.htm
> > ************************************************************************
> >
> >
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