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12 May 2004 2D/3D registration using a rotation-invariant cost function based on Zernike moments
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We present a novel in-plane rotation invariant cost function for 2D/3D registration utilizing projection-invariant transformation properties and the decomposition of the X-ray nad the DRR under comparision into orhogonal Zernike moments. As a result, only five dof have to be optimized, and the number of iteration necessary for registration can be significantly reduced. Results in a phantom study show that an accuracy of approximately 0.7° and 2 mm can be achieved using this method. We conclude that reduction of coupled dof and usage of linear independent coefficients for cost function evaluation provide intersting new perspectives for the field of 2D/3D registration.
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Wolfgang Birkfellner, Xinhui Yang, Wolfgang Burgstaller, Bernard Baumann, Augustinus Ludwig Jacob, Peter F. Niederer, Pietro Regazzoni, and Peter Messmer "2D/3D registration using a rotation-invariant cost function based on Zernike moments", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004);

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