Abstract
The Computer-Assisted Transbronchial Biopsy project involves the registration, without any external localization device, of a pre-operative 3D CT scan of the thoracic cavity (showing a tumor that requires a needle biopsy), and an intra-operative endoscopic 2D image sequence, in order to provide an assistance to a transbronchial puncture of the tumor. Because of the specific difficulties resulting from the processed data, original image processing methods were elaborated and a multi-level strategy is introduced. For each analysis level, the relevant information to process and the corresponding algorithms are defined. This multi-level strategy then achieves the best possible accuracy.
The results presented here demonstrate that it is possible to localize precisely the endoscopic camera within the CT data coordinate system. The computer can thus synthesize in near real-time the CT-derived virtual view that corresponds to the actual endoscopie real view.
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References
J. F. Turner and Ko-Pen Wang, “Staging of mediastinal involvement in lung cancer by bronchoscopic needle aspiration,” Journal of Bronchology, vol. 3, pp. 74–76, 1996.
Edward F. Haponik and Deborah Shure, “Underutilization of transbronchial needle aspiration,” Chest, vol. 112, no. 1, July 1997.
H.P. McAdams, P.C. Goodman, and P. Kussin, “Virtual bronchoscopy for directing transbronchial needle aspiration of malignant hilar and mediastinal lymph nodes,” in Radiological Society of North America, Chicago, 1996.
Ivan Bricault, Gilbert Ferretti, and Philippe Cinquin, “Computer-Assisted Bronchoscopy: Aims and Research Perspectives,” Computer Aided Surgery (formerly: Journal of Image Guided Surgery), vol. 1, no. 4, pp. 217–225, 1995, [Also in MRCAS’95 proceedings].
Jean-Philippe Thirion, “Fast intensity based non rigid matching,” in Medical Robotics and Computer assisted Surgery, Baltimore, november 1995, pp. 47–54.
Ivan Bricault, “A Fast Morphology-Based Registration — Application to Computer-Assisted Bronchoscopy,” in CVRMed-MRCAS, J. Troccaz, E. Grimson, and R. Mösges, Eds. march 1997, Lecture Notes in Computer Science, Springer-Verlag.
Ron Kimmel and Alfred M. Bruckstein, “Global Shape from Shading,” Computer Vision and Image Understanding, vol. 62, no. 3, pp. 360–369, november 1995.
Takayuki Okatani and Koichiro Deguchi, “Shape Reconstruction from an Endoscope Image by Shape from Shading Technique for a Point Light Source at the Projection Center,” Computer Vision and Image Understanding, vol. 66, no. 2, pp. 119–131, may 1997.
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© 1998 Springer-Verlag Berlin Heidelberg
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Bricault, I., Ferretti, G., Cinquin, P. (1998). Multi-level strategy for Computer-Assisted Transbronchial Biopsy. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056209
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DOI: https://doi.org/10.1007/BFb0056209
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