Mixed reality neurosurgical microscope for training and intra-operative purposes

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5622 LNCS, Issue , 2009, Pages 542-549

  De Mauro, Alessandro ^a   Raczkowsky, Joerg ^a   Halatsch, Marc Eric ^b   Wörn, Heinz ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

^b UNIVERSITY HOSPITAL HEIDELBERG   (Germany)

Author keywords

Haptic feedback; Neurosurgery; Physical modeling; Training systems; Virtual and augmented reality

Indexed keywords

HAPTIC FEEDBACK; HAPTIC FEEDBACKS; PHYSICAL MODELING; TRAINING SYSTEMS; VIRTUAL AND AUGMENTED REALITY; COMPUTER AIDED SURGERY; IMAGE-GUIDED INTERVENTION; MIXED REALITY SYSTEMS; PHYSICAL MODEL; STEREOSCOPIC VISUALIZATION;

AUGMENTED REALITY; DATA VISUALIZATION; MODELS; NEUROSURGERY; THREE DIMENSIONAL; MEDICAL COMPUTING; STEREO IMAGE PROCESSING; SURGERY; THREE DIMENSIONAL COMPUTER GRAPHICS;

VIRTUAL REALITY;

EID: 76649102078     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02771-0_60     Document Type: Conference Paper

References (27)

1. Ro, C.Y., et al.: The LapSim. A learning environment for both experts and novices. Department of Surgery, St. Luke's-Roosevelt Hospital Center and Columbia University, New York, USA (2005)
2. Hill, D.L.G., Maurer Jr., C.R., Martin, A.J., Sabanathan, S., Hall, W.A., Hawkes, D.J., Rueckert, D., Truwit, C.L.: Assessment of intraoperative brain deformation using interventional MR imaging. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol.1679, pp. 910-919. Springer, Heidelberg (1999)
3. Immersion (status January 2008), http://www.immersion.com/
4. SurgicalScience (status January 2008), http://www.surgical-science.com/
5. Mentice (status January 2008), http://www.mentice.com/
6. Reachin (status January 2008), http://www.reachin.se/
7. Basdogan, C., Ho, C., Srinivasan, M.A.: Virtual Environments for Medical Training: Graphical and Haptic Simulation of Common Bile Duct Exploration. IEEE-ASME Trans. Mechatronics 6(3), 26-285 (2001)
8. Çakmak, H.K., Kühnapfel, U.: Animation and Simulation Techniques for VR-Training Systems in Endoscopic Surgery. In: Proc. Eurographics Workshop Animation and Simulation (EGCAS 2000), pp. 173-185 (2000)
9. Brown, J., et al.: Algorithmic Tools for Real-Time Microsurgery Simulation. Medical Image Analysis 6(3), 289-300 (2002)
10. Cotin, S., Delingette, H., Ayache, H.: Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation. IEEE Trans. Visualization and Computer Graphics 5(1), 62-73 (1999)
11. Wu, X., et al.: Adaptive Nonlinear Finite Elements for Deformable Body Simulation Using Dynamic Progressive Meshes. In: Chalmers, A., Rhyne, T.-M. (eds.) Proc. Eurographics, Computer Graphics Forum, vol.20(3), pp. 349-358 (2001)
12. Székely, G., Brechbühler, C., Hutter, R., Rhomberg, A., Schmid, P.: Modelling of Soft Tissue Deformation for Laparoscopic Surgery Simulation. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol.1496, pp. 550-561. Springer, Heidelberg (1998)
13. O'Toole, R., et al.: Measuring and Developing Suturing Technique with a Virtual Reality Surgical Simulator. J. Am. College of Surgery 189, 114-128 (1999)
14. Webster, R., Haluck, R.S., Zoppeti, G., et al.: A haptic surgical simulator for laparoscopic cholecystectomy using real-time deformable organs. In: Proc. IASTED International Conference on Biomedical Engineering, Salzburg, Austria, June 25-27 (2003)
15. Montgomery, K., et al.: Surgical simulator for operative hysteroscopy. In: IEEE Visualization 2001, pp. 14-17 (2001)
16. Cotin, S., Dawson, S.L., Meglan, D., Shaffer, D.W., Farrell, M.A., Bardsley, R.S., Morgan, F.M., Nagano, T., Nikom, J., Sherman, P., Walterman, M.T., Wendlandt, J.: ICTS: An Interventional Cardiology Training System. In: Proceedings of Medicine Meets Virtual Reality, pp. 59-65 (2000)
17. De, S., Kim, J., Manivannan, M., Srinivasan, M.A., Rattner, D.: Multimodal Simulation of Laparoscopic Heller Myotomy Using a Meshless Technique. In: Proceedings of Medicine Meets Virtual Reality (MMVR), Newport Beach, pp. 127-132 (2002)
18. Goh, K.Y.C.: Virtual reality application in neurosurgery. In: Proceedings of the 2005 IEEE, Engineering in Medicine and Biology 27th Annual Conference, Shanghai (2005)
19. Luciano, C., Banerjee, P., Lemole, M.G., Charbel, F.: Second generation haptic ventriculostomy simulator using the immersivetouchTM system. In: Proceedings of Medicine Meets Virtual Reality 14, Long Beach, CA (2008)
20. Sato, D., Kobayashi, R., Kobayashi, A., Fujino, S., Uchiyama, M.: Soft tissue pushing operation using a haptic interface for simulation of brain tumor resection. Journal of robotics and mechatronics 18, 634-642 (2006)
21. Wiet, G., Bryan, J., Sessanna, D., Streadney, D., Schmalbrock, P., Welling, B.: Virtual temporal bone dissection simulation. In: Westwood, J.D. (ed.) Medicine Meets Virtual Reality 2000, Amsterdam, The Netherlands, pp. 378-384 (2000)
22. 3DSlicer (status January 2008), http://www.slicer.org/
23. Faro (status January 2008), http://www.faro.com
24. H3D (status January 2008), http://www.h3dapi.org/
25. Van den Bergen, C.: Collision detection in interactive 3D environment. Elsevier Morgan Kaufmann, S. Francisco, USA (2004)
26. OpenHaptics (status March 2009), http://www.sensable.com/products- openhaptics-toolkit.htm
27. Aschke, M., et al.: Augmented reality in operating microscopes for neurosurgical interventions. In: Wolf, Strock (eds.) Proceedings of 1st International IEEE EMBS Conference on Neural Engineering, pp. 652-655 (2003)