Abstract
This paper describes a computer system to visualize the location and alignment of an arthroscope using augmented virtuality. A 3D computer model of the patient’s joint (from CT) is shown, along with a model of the tracked arthroscopic probe and the projection of the camera image onto the virtual joint. A user study, using plastic bones instead of live patients, was made to determine the effectiveness of this navigated display; the study showed that the navigated display improves target localization in novice residents.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Tonet, O., Megali, G., D’Attanasio, S., Dario, P., Carrozza, M.C., Marcacci, M., Martelli, S., La Palombara, P.F.: An augmented reality navigation system for computer assisted arthroscopic surgery of the knee. In: Delp, S.L., DiGoia, A.M., Jaramaz, B. (eds.) MICCAI 2000. LNCS, vol. 1935, pp. 1158–1162. Springer, Heidelberg (2000)
Monahan, E., Shimada, K.: A study of user performance employing a computer-aided navigation system for arthroscopic hip surgery. International Journal of Computer Assisted Radiology and Surgery 2(3-4), 245–252 (2007)
Heng, P.A., Cheng, C.Y., Wong, T.T., Xu, Y., Chui, Y.P., Chan, K.M., Tso, S.K.: A virtual-reality training system for knee arthroscopic surgery. IEEE Transactions on Information Technology in Biomedicine 8(2), 217–227 (2004)
Bayona, S., Fernández-Arroyo, J.M., Martín, I., Bayona, P.: Assessment study of insight ARTHRO VR arthroscopy virtual training simulator: face, content, and construct validities. Journal of Robotic Surgery 2(3), 151–158 (2008)
Paul, P., Fleig, O., Jannin, P.: Augmented virtuality based on stereoscopic reconstruction in multimodal image-guided neurosurgery: methods and performance evaluation. IEEE Transactions on Medical Imaging 24(11), 1500–1511 (2005)
Dey, D., Gobbi, D.G., Slomka, P.J., Surry, K.J.M., Peters, T.M.: Automatic fusion of freehand endoscopic brain images to three-dimensional surfaces: creating stereoscopic panoramas. IEEE Transactions on Medical Imaging 21(1), 23–30 (2002)
Liao, H., Tsuzuki, M., Mochizuki, T., Kobayashi, E., Chiba, T., Sakuma, I.: Fast image mapping of endoscopic image mosaics with three-dimensional ultrasound image for intrauterine fetal surgery. Minimally Invasive Therapy & Allied Technologies 18(6), 332–340 (2009)
Nicolau, S.A., Goffin, L., Soler, L.: A Low Cost and Accurate Guidance System for Laparoscopic Surgery: Validation on an Abdominal Phantom. In: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, pp. 124–133. ACM, New York (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, J.M., Bardana, D.D., Stewart, A.J. (2011). Augmented Virtuality for Arthroscopic Knee Surgery. 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_24
Download citation
DOI: https://doi.org/10.1007/978-3-642-23623-5_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23622-8
Online ISBN: 978-3-642-23623-5
eBook Packages: Computer ScienceComputer Science (R0)