Abstract
The paper discusses rigid registration of a 3D volume to 2D projections based on Mutual-Information similarity measures. The experiments we conducted are similar to those of Zoellei. However, in order to obtain a stopping criterion we use the Resilient Backpropagation as optimizer. Performing the registration on artificial images we obtain a speedup of approx. a factor of 10. We applied the matching approach to calibrate C-arm positions and found lateral movements of the detector of 0.5-1 mm in a given set of projections.
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Müller, U., Bruck, S., Hesser, J., Männer, R. (2003). Correction of C-Arm Projection Matrices by 3D-2D Rigid Registration of CT-Images Using Mutual Information. In: Gee, J.C., Maintz, J.B.A., Vannier, M.W. (eds) Biomedical Image Registration. WBIR 2003. Lecture Notes in Computer Science, vol 2717. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39701-4_17
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DOI: https://doi.org/10.1007/978-3-540-39701-4_17
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