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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    Title :

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


    Contributors:
    Jonic, S. (author) / Thévenaz, P. (author) / Zheng, Guoyan (author) / Nolte, Lutz-Peter (author) / Unser, M. (author)

    Publication date :

    2006-01-01


    Remarks:

    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



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



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