2D/3D registration using a rotation-invariant cost function based on Zernike moments

Wolfgang Birkfellner; Xinhui Yang; Wolfgang Burgstaller; Bernard Baumann; Augustinus Ludwig Jacob; Peter F. Niederer; Pietro Regazzoni; Peter Messmer

doi:10.1117/12.531976

12 May 2004 2D/3D registration using a rotation-invariant cost function based on Zernike moments

Wolfgang Birkfellner, Xinhui Yang, Wolfgang Burgstaller, Bernard Baumann, Augustinus Ludwig Jacob, Peter F. Niederer, Pietro Regazzoni, Peter Messmer

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.531976
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

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.

Citation Download Citation

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); https://doi.org/10.1117/12.531976

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