Abstract
We present a method for realtime online 3d reconstruction of a guide-wire or catheter using 2d X-ray images, which do not have to be recorded from different viewpoints. No special catheters or sensors are needed. Given a 3d patient data set and the projection parameters, we use recursive probability density propagation to estimate a probability distribution of the current positions of guide-wire parts. Based on this distribution, we extract the optimal guide-wire position using regularization techniques. We describe the guide-wire position by a uniform cubic B-spline. Experiments on simulated and phantom data demonstrate the high accuracy and robustness of our approach.
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References
Doucet, A., DeFreitas, N., Gordon, N.: Sequential Monte Carlo Methods in Practice. Springer, Heidelberg (2001)
Arulampalam, M., Maskell, S., Gordon, N., Clapp, T., Sci, D., Organ, T., Adelaide, S.: A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. on Signal Processing 50(2), 174–188 (2002)
Engl, H., Hanke, M., Neubauer, A.: Regularization of Inverse Problems. Kluwer Academic Publishers, Dordrecht (1996)
de Boor, C.: A Practical Guide to Splines. Springer, Heidelberg (1978)
Solomon, S., Dickfeld, T., Calkins, H.: Real-Time Cardiac Catheter Navigation on Three-Dimensional CT Images. J. of Interv. Card. Electrophys. 8(1), 27–36 (2003)
Wood, B., Zhang, H., Durrani, A., Glossop, N., Ranjan, S., Lindisch, D., Levy, E., Banovac, F., Borgert, J., Krueger, S., et al.: Navigation with Electromagnetic Tracking for Interventional Radiology Procedures: A Feasibility Study. J. of Vascular and Interv. Radiology 16(4), 493–505 (2005)
Bender, H.J., Männer, R., Poliwoda, C., Roth, S., Walz, M.: Reconstruction of 3D Catheter Paths from 2D X-ray Projections. In: Proc. of the Second Int. Conference on Med. Image Computing and Computer-Assisted Intervention, pp. 981–989 (1999)
Baert, S., van de Kraats, E., van Walsum, T., Viergever, M., Niessen, W.: Three-dimensional guide-wire reconstruction from biplane image sequences for integrated display in 3-D vasculature. IEEE Trans. on Med. Imaging 22(10), 1252–1258 (2003)
van Walsum, T., Baert, S., Niessen, W.: Guide wire reconstruction and visualization in 3DRA using monoplane fluoroscopic imaging. IEEE Trans. on Med. Imaging 24(5), 612–623 (2005)
Platzer, E.S., Deinzer, F., Paulus, D., Denzler, J.: 3D Blood Flow Reconstruction from 2D Angiograms. In: Bildverarbeitung für die Medizin 2008 - Algorithmen, Systeme, Anwendungen. Informatik aktuell, pp. 288–292. Springer, Heidelberg (2008)
Powell, M.J.D.: An efficient method for finding the minimum of a function of several variables without calculating derivatives. The Comp. J. 7(2), 155–162 (1964)
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Brückner, M., Deinzer, F., Denzler, J. (2009). Temporal Estimation of the 3d Guide-Wire Position Using 2d X-ray Images. In: Yang, GZ., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009. MICCAI 2009. Lecture Notes in Computer Science, vol 5761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04268-3_48
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DOI: https://doi.org/10.1007/978-3-642-04268-3_48
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