High-fidelity haptic and visual rendering for patient-specific simulation of temporal bone surgery

References

• Calhoun PS, Kuszyk BS, Heath DG, et al. Three-dimensional volume rendering of spiral CT data: theory and method. RadioGraphics. 1999;19:745–764.
   Google Scholar
• Rubin GD, Beaulieu CF, Argiro V, et al. Perspective volume rendering of CT and MR images: applications for endoscopic imaging. Radiology. 1996;199:321–330.
   Google Scholar
• Wiet GJ, Bryan J, Dodson E, et al. Virtual temporal bone dissection simulation. Stud Health Technol Informatics. 2000;70:378.
   Google Scholar
• Wiet GJ, Stredney D, Sessanna D, et al. Virtual temporal bone dissection: an interactive surgical simulator. Otolaryngol Head Neck Surg. 2002;127:79–83.
   Google Scholar
• Wiet GJ, Schmalbrock P, Powell K, et al. Use of ultra-high-resolution data for temporal bone dissection simulation. Otolaryngol Head Neck Surg. 2005;133:911–915.
   Google Scholar
• Kerwin T, Shen H-W, Stredney D. Enhancing realism of wet surfaces in temporal bone surgical simulation. IEEE Trans Visual Comp Graph. 2009;15:747–758.
   Google Scholar
• Wiet GJ, Stredney D, Kerwin T, et al. Virtual temporal bone dissection system: OSU virtual temporal bone system: development and testing. Laryngoscope. 2012;122:S1–S12.
   Google Scholar
• Petersik A, Pflesser B, Tiede U. Realistic haptic volume interaction for petrous bone surgery simulation. Comp Assist Radiol Surg. 2002;1:252–257.
   Google Scholar
• Pflesser B, Petersik A, Tiede U, et al. Volume cutting for virtual petrous bone surgery. Comp Aided Surg. 2002;7:74–83.
   Google Scholar
• Tolsdorff B, Petersik A, Pflesser B, et al. Individual models for virtual bone drilling in mastoid surgery. Comp Aided Surg. 2009;14:21–27.
   Google Scholar
• Agus M, Giachetti A, Gobbetti E, et al. A multiprocessor decoupled system for the simulation of temporal bone surgery. Comput Visual Sci. 2002;5:35–43.
   Google Scholar
• Agus M, Giachetti A, Gobbetti E, et al. Real-time haptic and visual simulation of bone dissection. Presence. 2003;12:110–122.
   Google Scholar
• Neri E, Sellari Franceschini S, Berrettini S, et al. IERAPSI project: simulation of a canal wall-up mastoidectomy. Comp Aided Surg. 2006;11:99–102.
   Google Scholar
• Morris D, Sewell C, Blevins N, et al. A collaborative virtual environment for the simulation of temporal bone surgery. Proceedings of Medical Image Computing and Computer-Assisted Intervention. Springer; 2004. p. 319–327.
   Google Scholar
• Morris D, Sewell C, Barbagli F, et al. Visuohaptic simulation of bone surgery for training and evaluation. IEEE Comp Graph Appl. 2006;26:48–57.
   Google Scholar
• Sewell C, Morris D, Blevins NH, et al. Validating metrics for a mastoidectomy simulator. Stud Health Technol Informatics. 2007;125:421–426.
   Google Scholar
• Sewell C, Morris D, Blevins NH, et al. Providing metrics and performance feedback in a surgical simulator. Comp Aided Surg. 2008;13:63–81.
   Google Scholar
• Chan S, Li P, Hoon Lee D, et al. A virtual surgical environment for rehearsal of tympanomastoidectomy. Stud Health Technol Informatics. 2011;163:112–118.
   Google Scholar
• Solvsten Sorensen M, Mosegaard J, Trier P. The visible ear simulator: a public PC application for GPU-accelerated haptic 3D simulation of ear surgery based on the visible ear data. Otol Neurotol. 2009;30:484–487.
   Google Scholar
• Kraut J, Hochman JB, Unger B. Temporal bone surgical simulation employing a multicore architecture. Proceedings of IEEE Canadian Conference of Electrical and Computer Engineering; 2013. p. 1–6.
   Google Scholar
• Eugene Merchant M. Mechanics of the metal cutting process. I. Orthogonal cutting and a type 2 chip. J Appl Phys. 1945;16:267.
   Google Scholar
• Archard JF. Contact and rubbing of flat surfaces. J Appl Phys. 1953;24:981–988.
   Google Scholar
• Jacobs CH, Pope MH, Berry JT, et al. A study of the bone machining process—orthogonal cutting. J Biomech. 1974;7:131–136.
   Google Scholar
• Engel K, Hadwiger M, Kniss JM, et al. Real-time volume graphics. Wellesley (MA): A K Peters; 2006.
   Google Scholar
• Chan S, Conti F, Blevins NH, et al. Constraint-based six degree-of-freedom haptic rendering of volume-embedded isosurfaces. Proceedings of IEEE World Haptics Conference; 2011. p. 89–94.
   Google Scholar
• McNeely WA, Puterbaugh KD, Troy JJ. Six degree-of-freedom haptic rendering using voxel sampling. Proceedings of SIGGRAPH 98; 1999. p. 401–408.
   Google Scholar
• Bruyninckx H, Khatib O. Gauss’ principle and the dynamics of redundant and constrained manipulators. Proceedings of IEEE International Conference on Robotics and Automation; 2000. p. 2563–2568.
   Google Scholar
• Redon S, Kheddar A, Coquillart S. Gauss’ least constraints principle and rigid body simulations. Proceedings of IEEE International Conference on Robotics and Automation; 2002. p. 517–522.
   Google Scholar
• Colgate JE, Stanley MC, Brown JM. Issues in the haptic display of tool use. IEEE/RSJ International Conference on Intelligent Robots and Systems, volume 3; 1995. p. 140–145.
   Google Scholar
• Arbabtafti M, Moghaddam M, Nahvi A, et al. Physics-based haptic simulation of bone machining. IEEE Trans Haptics. 2011;4:39–50.
   Google Scholar
• Wiggins KL, Malkin S. Drilling of bone. J Biomech. 1976;9:553–559.
   Google Scholar
• Krause WR. Orthogonal bone cutting: saw design and operating characteristics. J Biomech Eng. 1987;109:263–271.
   Google Scholar
• Plaskos C, Hodgson AJ, Cinquin P. Modelling and optimization of bone-cutting forces in orthopaedic surgery. Medical Image Computing and Computer-Assisted Intervention; 2003. p. 254–261.
   Google Scholar
• Dillon NP, Kratchman LB, Dietrich MS, et al. An experimental evaluation of the force requirements for robotic mastoidectomy. Otol Neurotol. 2013;34:e93–e102.
   Google Scholar
• Wu J, Yu G, Wang D, et al. Voxel-based interactive haptic simulation of dental drilling. Proceedings of ASME International Design Engineering Technical Conferences & Computers and Information in Engineering; 2009.
   Google Scholar
• Misra A, Finnie I. Some observations on two-body abrasive wear. Wear. 1981;68:41–56.
   Google Scholar
• Weaver JK. The microscopic hardness of bone. J Bone Joint Surg. 1966;48-A:273–288.
   Google Scholar
• Zysset PK, Edward Guo X, Edward Hoffler C, et al. Elastic modulus and hardness of cortical and trabecular bone lamellae measured by nanoindentation in the human femur. J Biomech. 1999;32:1005–1012.
   Google Scholar
• Drebin RA, Carpenter L, Hanrahan P. Volume rendering. Comp Graph. 1988;22:65–74.
   Google Scholar
• Krüger J, Westermann R. Acceleration techniques for GPU-based volume rendering. Proceedings of IEEE Visualization; 2003. p. 287–292.
   Google Scholar
• Tiede U, Schiemann T, Höhne KH. High quality rendering of attributed volume data. Proceedings of IEEE Visualization; 1998. p. 255–262.
   Google Scholar
• Hadwiger M, Berger C, Hauser H. High-quality two-level volume rendering of segmented data sets on consumer graphics hardware. Proceedings of IEEE Visualization; 2003. p. 301–308.
   Google Scholar
• Chen JYC, Thropp JE. Review of low frame rate effects on human performance. IEEE Trans Syst Man Cybernet A Syst Humans. 2007;37:1063–1076.
   Google Scholar
• Li W, Mueller K, Kaufman A. Empty space skipping and occlusion clipping for texture-based volume rendering. Proceedings of IEEE Visualization; 2003. pages 317–324.
   Google Scholar