15 May 2003 Multiresolution-based registration of a volume to a set of its projections
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Abstract
We have developed an algorithm for the rigid-body registration of a 3D CT to a set of C-arm images by matching them to computed cone-beam projections of the CT (DRRs). We precomputed rescaled versions (pyramid) of the CT volume and of the C-arm images. We perform the registration of the CT to the C-arm images starting from their coarsest resolution until we reach some finer resolution that offers a good compromise between time and accuracy. To achieve precision, we use a cubic-spline data model to compute the data pyramids, the DRRs, and the gradient and the Hessian of the cost function. We validate our algorithm on a 3D CT and on C-arm images of a cadaver spine using fiducial markers. When registering the CT to two C-arm images, our algorithm operates safely if the angle between the two image planes is larger than 10°. It achieves an accuracy with a mean and a standard deviation of approximately 2.0±1.0 mm.
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Slavica Jonic, Slavica Jonic, Philippe Thevenaz, Philippe Thevenaz, Michael A. Unser, Michael A. Unser, } "Multiresolution-based registration of a volume to a set of its projections", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480241; https://doi.org/10.1117/12.480241
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