We have developed an algorithm for the rigid-body registration of a CT volume to a set of C-arm images. The algorithm uses a gradient-based iterative minimization of a least-squares measure of dissimilarity between the C-arm images and projections of the CT volume. To compute projections, we use a novel method for fast integration of the volume along rays. To improve robustness and speed, we take advantage of a coarse-to-fine processing of the volume/image pyramids. To compute the projections of the volume, the gradient of the dissimilarity measure, and the multiresolution data pyramids, we use a continuous image/volume model based on cubic B-splines, which ensures a high interpolation accuracy and a gradient of the dissimilarity measure that is well defined everywhere. We show the performance of our algorithm on a human spine phantom, where the true alignment is determined using a set of fiducial markers.


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    Titel :

    An Optimized Spline-Based Registration of a 3D CT to a Set of C-Arm Images


    Beteiligte:
    Jonic, S. (Autor:in) / Thévenaz, P. (Autor:in) / Zheng, Guoyan (Autor:in) / Nolte, Lutz-Peter (Autor:in) / Unser, M. (Autor:in)

    Erscheinungsdatum :

    2006-01-01


    Anmerkungen:

    Jonic, S.; Thévenaz, P.; Zheng, Guoyan; Nolte, Lutz-Peter; Unser, M. (2006). An Optimized Spline-Based Registration of a 3D CT to a Set of C-Arm Images. International journal of biomedical imaging, 2006, pp. 1-12. Hindawi Publishing Corporation 10.1155/IJBI/2006/47197



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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