Abstract
To improve therapy research against cancer, we propose a robotized computer assisted system for needle insertion devoted to the small animal. The system is composed of a robotic arm on which the needle is attached and two cameras rigidly linked. It needs a preoperative CT acquisition in which the biologist defines an entry point and the target he wants to reach. The needle guidance is ensured by a visual servoing and the needle is registered in the CT frame using radio-opaque markers stuck beforehand on the small animal.
Biologists estimate that such a system can be beneficial if the time preparation per animal remains below 15 minutes and if the insertion accuracy is within 1 mm. Several error sources can be identified : the error due to the system only, the organ repositioning error (due to breathing motions) and the error induced by the needle insertion.
In this paper, we report an evaluation on living rats of the system error and of the organ repositioning error. Encouraging results show that a global accuracy of 0.9 mm may be reached with an acceptable preparation time.
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References
Ayadi, A., Nicolau, S., Bayle, B., Graebling, P., Gangloff, J.: Fully automatic needle calibration for robotic-assisted puncture on small animals. In: IEEE Workshop Life Science Systems and Applications Workshop, LISSA 2007, pp. 85–88 (2007)
Boctor, E.M., Taylor, R., Fichtinger, G., Choti, M.: Robotically assisted intraoperative ultrasound with application to ablative therapy of liver cancer. In: SPIE Annual Conference on Medical Imaging 2003, vol. 5029, pp. 281–291 (2003)
Espiau, B., Chaumette, F., Rives, P.: A new approach to visual servoing in robotics. IEEE Transactions on Robotics and Automation 8, 313–326 (1992)
Fiala, M.: Artag, a fiducial marker system using digital techniques. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), pp. 590–596 (2005)
Fichtinger, G., DeWeese, T., Patriciu, A., Tanacs, A., Mazilu, D., Anderson, J., Masamune, K., Taylor, R., Stoianovici, D.: System for robotically assisted prostate biopsy and therapy with intraoperative CT guidance. Journal of Academic Radiology 9(1), 60–74 (2002)
Hutchinson, S., Hager, G.D., Corke, P.I.: A tutorial on visual servo control. Robotics and Automation 12(5), 651–670 (1996)
Kazanzides, P., Chang, J., Iordachita, I., Li, J., Ling, C., Fichtinger, G.: Design and validation of an image-guided robot for small animal research. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 50–57. Springer, Heidelberg (2006)
Lapreste, J.T., Jurie, F., Dhome, M., Chaumette, F.: An efficient method to compute the inverse jacobian matrix in visual servoing. In: ICRA, Avril, vol. 1, pp. 727–732 (2004)
Lavalle, S., Cinquin, P., Troccaz, J.: Computer Integrated Surgery and Therapy: State of the Art. ch. 10, Roux and J.L. Coatrieux edn., pp. 239–310. IS Press, Amsterdam (1997)
Li, J.C., Iordachita, I., Balogh, E., Fichtinger, G., Kazanzides, P.: Validation of an image-guided robot system for measurement, biopsy and injection in rodents. In: Proceedings of the IEEE 31st Annual Northeast Bioengineering Conference, pp. 131–133 (2005)
Nicolau, S., Garcia, A., Pennec, X., Soler, L., Ayache, N.: An augmented reality system to guide radio-frequency tumor ablation. In the Journal of Computer Animation and Virtual World 16(1), 1–10 (2005)
Nicolau, S., Goffin, L., Soler, L.: A low cost and accurate guidance system for laparoscopic surgery: Validation on an abdominal phantom. In: Proceedings of ACM Symposium on Virtual Reality Software and Technology (VRST 2005), Monterey, pp. 124–133 (2005)
Patriciu, A., Solomon, S., Kavoussi, L.R., Stoianovici, D.: Robotic kidney and spine percutaneous procedures using a new laser-based ct registration method. In: Niessen, W.J., Viergever, M.A. (eds.) MICCAI 2001. LNCS, vol. 2208, pp. 249–257. Springer, Heidelberg (2001)
Waspe, A., Cakiroglu, H., Lacefield, J., Fenster, A.: Design and validation of a robotic needle positioning system for small animal imaging applications. In: Engineering in Medicine and Biology Society, pp. 412–415 (2006)
Waspe, A., Cakiroglu, H., Lacefield, J., Fenster, A.: Design, calibration and evaluation of a robotic needle-positioning system for small animal imaging applications. Physics in Medicine and Biology 52, 1863–1878 (2007)
Zhang, Z.: Flexible camera calibration by viewing a plane from unknown orientations. In: Proceedings of the Nineth International Conference on Computer Vision (ICCV 1999), pp. 666–673 (1999)
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Nicolau, S.A., Mendoza-Burgos, L., Soler, L., Mutter, D., Marescaux, J. (2008). In Vivo Evaluation of a Guidance System for Computer Assisted Robotized Needle Insertion Devoted to Small Animals. In: Dohi, T., Sakuma, I., Liao, H. (eds) Medical Imaging and Augmented Reality. MIAR 2008. Lecture Notes in Computer Science, vol 5128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79982-5_27
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DOI: https://doi.org/10.1007/978-3-540-79982-5_27
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