BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)

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

S. Jonić, P. Thévenaz, G. Zheng, L.-P. Nolte, M. Unser

International Journal of Biomedical Imaging, vol. 2006, ID 47197, 2006.

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. 

@ARTICLE(http://bigwww.epfl.ch/publications/jonic0602.html,
AUTHOR="Joni{\'{c}}, S. and Th{\'{e}}venaz, P. and Zheng, G. and Nolte,
	L.-P. and Unser, M.",
TITLE="An Optimized Spline-Based Registration of a {3D} {CT} to a Set of
	{C}-Arm Images",
JOURNAL="International Journal of Biomedical Imaging",
YEAR="2006",
volume="2006",
number="",
pages="1--12",
month="",
note="paper no.\ 47197")

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