Abstract
In this paper we introduce a novel hybrid graph-based approach for Guide-wire tracking. The image support is captured by steerable filters and improved through tensor voting. Then, a graphical model is considered that represents guide-wire extraction/tracking through a B-spline control-point model. Points with strong geometric interest (landmarks) are automatically determined and anchored to such a representation. Tracking is then performed through discrete MRFs that optimize the spatio-temporal positions of the control points while establishing landmark temporal correspondences. Promising results demonstrate the potentials of our method.
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Baert, S.A.M., Viergever, M.A., Niessen, W.J.: Guide-wire tracking during endovascular interventions. IEEE TMI 22(8), 965–972 (2003)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Franken, E., van Almsick, M., Rongen, P., Florack, L.M.J., ter Haar Romeny, B.M.: An efficient method for tensor voting using steerable filters. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 228–240. Springer, Heidelberg (2006)
Guy, G., Medioni, G.: Inferring global perceptual contours from local features. International Journal of Computer Vision 20, 113–133 (1996)
Harris, C.G., Stevens, M.J.: A combined corner and edge detector. In: 4th Alvey Vision Conference (1988)
Hauke Heibel, T., Glocker, B., Groher, M., Paragios, N., Komodakis, N., Navab, N.: Discrete tracking of parametrized curves. In: CVPR, pp. 1754–1761 (2009)
Honnorat, N., Vaillant, R., Paragios, N.: Guide-wire extraction through perceptual organization of local segments in fluoroscopic images. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6363, pp. 440–448. Springer, Heidelberg (2010)
Isard, M., Blake, A.: Condensation conditional density propagation for visual tracking. IJCV 29 (1998)
Jacob, M., Unser, M.: Design of steerable filters for feature detection using canny-like criteria. IEEE PAMI 26(8), 1007–1019 (2004)
Komodakis, N., Tziritas, G., Paragios, N.: Performance vs computational efficiency for optimizing single and dynamic mrfs: Setting the state of the art with primal-dual strategies. CVIU 112, 14–29 (2008)
Pauly, O., Heibel, H., Navab, N.: A machine learning approach for deformable guide-wire tracking in fluoroscopic sequences. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6363, pp. 343–350. Springer, Heidelberg (2010)
Slabaugh, G., Kong, K., Unal, G., Fang, T.: Variational guidewire tracking using phase congruency. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 612–619. Springer, Heidelberg (2007)
Sotiras, A., Ou, Y., Glocker, B., Davatzikos, C., Paragios, N.: Simultaneous geometric - iconic registration. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6362, pp. 676–683. Springer, Heidelberg (2010)
Wang, P., Chen, T., Zhu, Y., Zhang, W., Zhou, S.K., Comaniciu, D.: Robust guidewire tracking in fluoroscopy. In: CVPR (2009)
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Honnorat, N., Vaillant, R., Paragios, N. (2011). Graph-Based Geometric-Iconic Guide-Wire Tracking. In: Fichtinger, G., Martel, A., Peters, T. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. MICCAI 2011. Lecture Notes in Computer Science, vol 6891. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23623-5_2
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DOI: https://doi.org/10.1007/978-3-642-23623-5_2
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