Bronchoscope Tracking Based on Image Registration Using Multiple Initial Starting Points Estimated by Motion Prediction

Author:

Mori Kensaku,Deguchi Daisuke,Kitasaka Takayuki,Suenaga Yasuhito,Takabatake Hirotsugu,Mori Masaki,Natori Hiroshi,Maurer Calvin R.

Publisher

Springer Berlin Heidelberg

Reference8 articles.

1. Schneider, A., Hautmann, H., Barfuss, H., Pinkau, T., Peltz, F., Feussner, H., Wichert, A.: Real-time image tracking of a flexible bronchoscope. In: Proc. of CAR 2004, pp. 753–757 (2004)

2. Bricault, I., Ferretti, G., Cinquin, P.: Registration of real and CT-derived virtual bronchoscopic images to assist transbronchial biopsy. IEEE Trans. Med. Imaging 17, 703–714 (1998)

3. Helferty, J.P., Higgins, W.E.: Technique for Registering 3D Virtual CT Images to Endoscopic Video. In: Proceedings of ICIP (International Conference on Image Processing), pp. 893–896 (2001)

4. Chung, A.J., Deligianni, F., Shah, A., Wells, A., Yang, G.Z.: VIS-a-VE: Visual Augmentation for Virtual Environments in Surgical Training. In: Data Visualization 2005, Eurographics / IEEE VGTC Symposium on Visualization, pp. 101–108 (2005)

5. Mori, K., Deguchi, D., Sugiyama, J., Suenaga, Y., Toriwaki, J., Maurer Jr., C.R., Takabatake, H., Natori, H.: Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images. Medical Image Analysis 6, 321–336 (2002)

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