Abstract
This paper presents a method for CT-US rigid registration in minimally-invasive computer-assisted orthopaedic surgery, whereby the registration procedure is reformulated to enable effectively real-time registrations. A linear Kalman filter based algorithm is compared to an Unscented Kalman filter based method in simulated and experimental scenarios. The validation schemes demonstrate that the linear Kalman filter is more accurate, more robust, and converges quicker than the UKF, yielding an effectively real-time method for rigid registration applications, circumventing surgeons' waiting times. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Talib, H., Peterhans, M., García, J., Styner, M., & González Ballester, M. A. (2008). Kalman filtering for frame-by-frame CT to ultrasound rigid registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5128 LNCS, pp. 185–192). https://doi.org/10.1007/978-3-540-79982-5_21
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