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Multiresolution Spline-Based 3D/2D Registration of CT Volume and C-Arm Images for Computer-Assisted Surgery

S. Jonić, P. Thévenaz, M. Unser

Proceedings of the SPIE International Symposium on Medical Imaging: Image Processing (MI'01), San Diego CA, USA, February 17-22, 2001, vol. 4322, part II, pp. 1101-1109.



We propose an algorithm for aligning a preoperative computed tomography (CT) volume and intraoperative C-arm images, with applications in computer-assisted spinal surgery. Our three-dimensional (3D)/two-dimensional (2D) registration algorithm is based on splines and is tuned to a multiresolution strategy. Its goal is to establish the mutual relations of locations in the real-world scene to locations in the 3D CT and inthe 2D C-arm images. The principle of the solution is to simulate a series of C-arm images, using CT data only. Each numerical simulation of a C-arm image is defined by its pose. Our registration algorithm then adjusts this pose until the given C-arm projections and the simulated projections exhibit the greatest degree of similarity. We show the performance of the algorithm for the experiments in a controlled environment which allows for an objective validation of the quality ofour algorithm. For each of 100 randomly generated disturbances around the optimum solution, the 3D/2D registration algorithm was successful and resulted in image registration with subpixel error.


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BOOKTITLE="Progress in Biomedical Optics and Imaging, vol. 2, no.
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