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

[Ganesh Narayanasamy]

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


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"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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