Abstract
The quest for providing tissue characterization and functional map** during minimally invasive surgery (MIS) has motivated the development of new surgical tools that extend the current functional capabilities of MIS. Miniaturized optical probes can be inserted into the instrument channel of standard endoscopes to reveal tissue cellular and subcellular microstructures, allowing excision-free optical biopsy. One of the limitations of such a point based imaging and tissue characterization technique is the difficulty of tracking probed sites in vivo. This prohibits large area surveillance and integrated functional map**. The purpose of this paper is to present an image-based tracking framework by combining a semi model-based instrument tracking method with vision-based simultaneous localization and map**. This allows the map** of all spatio-temporally tracked biopsy sites, which can then be re-projected back onto the endoscopic video to provide a live augmented view in vivo, thus facilitating re-targeting and serial examination of potential lesions. The proposed method has been validated on phantom data with known ground truth and the accuracy derived demonstrates the strength and clinical value of the technique. The method facilitates a move from the current point based optical biopsy towards large area multi-scale image integration in a routine clinical environment.
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References
Meining, A., Bajbouj, M., von Delius, S., Prinz, C.: Confocal Laser Scanning Microscopy for in vivo Histopathology of the Gastrointestinal Tract. Arab Journal of Gastroenterology 8, 1–4 (2007)
Thiberville, L., Moreno-Swirc, S., Vercauteren, T., Peltier, E., Cavé, C., Bourg Heckly, G.: In Vivo Imaging of the Bronchial Wall Microstructure Using Fibered Confocal Fluorescence Microscopy. American Journal of Respiratory and Critical Care Medicine 175, 22–31 (2007)
Van Dam, J.: Novel methods of enhanced endoscopic imaging. GUT 52(4) (2003)
Wengert, C., Cattin, P.C., Duff, J.M., Székely, G.: Markerless Endoscopic Registration and Referencing. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 816–823. Springer, Heidelberg (2006)
Wu, C.-H., Sun, Y.-N., Chen, Y.-C., Chang, C.-C.: Endoscopic Feature Tracking and Scale-Invariant Estimation of Soft-Tissue Structures. IEICE Transactions on Information and Systems 2, 351–360 (2008)
Atasoy, S., Noonan, D.P., Benhimane, S., Navab, N., Yang, G.-Z.: A global approach for automatic fibroscopic video mosaicing in minimally invasive diagnosis. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part I. LNCS, vol. 5241, pp. 850–857. Springer, Heidelberg (2008)
Lerotic, M., Chung, A.J., Clark, J., Valibeik, S., Yang, G.-Z.: Dynamic View Expansion for Enhanced Navigation in Natural Orifice Transluminal Endoscopic Surgery. In: Metaxas, D., Axel, L., Fichtinger, G., Székely, G. (eds.) MICCAI 2008, Part II. LNCS, vol. 5242, pp. 467–475. Springer, Heidelberg (2008)
Wengert, C., Bossard, L., Häberling, A., Baur, C., Székely, G., Cattin, P.C.: Endoscopic Navigation for Minimally Invasive Suturing. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007, Part II. LNCS, vol. 4792, pp. 620–627. Springer, Heidelberg (2007)
Krupa, A., Gangloff, J., Doignon, C., de Mathelin, M.F., Morel, G., Leroy, J., Soler, L., Marescaux, J.: Autonomous 3-D positioning of surgical instruments in robotized laparoscopic surgery using visual servoing. IEEE Transactions on Robotics and Automation 19, 842–853 (2003)
Mountney, P., Stoyanov, D., Davison, A.J., Yang, G.-Z.: Simultaneous Stereoscope Localization and Soft-Tissue Map** for Minimal Invasive Surgery. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 347–354. Springer, Heidelberg (2007)
Tsai, R., Lenz, R.: Real Time Versatile Robotic Hand/Eye Calibration using 3D Machine Vision. In: Proc. ICRA 1988, pp. 554–561 (1988)
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Mountney, P., Giannarou, S., Elson, D., Yang, GZ. (2009). Optical Biopsy Map** for Minimally Invasive Cancer Screening. 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_60
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