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Proceedings Paper

Multiresolution-based registration of a volume to a set of its projections
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Paper 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.

Paper Details

Date Published: 15 May 2003
PDF: 4 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480241
Show Author Affiliations
Slavica Jonic, Swiss Federal Institute of Technology Lausanne (Switzerland)
Philippe Thevenaz, Swiss Federal Institute of Technology Lausanne (Switzerland)
Michael A. Unser, Swiss Federal Institute of Technology Lausanne (Switzerland)


Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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