Abstract
Purpose
To support preoperative planning of bone drilling for Microendoscopic Discectomy, we present a set of interactive bone-drilling methods using a general 2D pointing device.
Methods
Unlike the existing methods, our framework has the following features: (1) the user can directly cut away arbitrary 3D regions on the volumetrically rendered image, (2) in order to provide a simple interface to end-users, our algorithms make 3D drilling possible through only a general-purpose wheel mouse, (3) to reduce both over-drilling and unnatural drilling of an unintended region, we introduce a smart depth control to ensure the continuity of the cutting operation and (4) a GPU-based rendering scheme for high-quality shading of clipped boundaries.
Results
We applied our techniques to some CT data of specific patients. Several experiments confirmed that the user was able to directly drill a 3D complex region on a volumetrically rendered lumber spine through simple mouse operation. Also, our rendering scheme clearly visualizes time-varying drilled surfaces at interactive rates. By comparing simulation results to actual postoperative CT images, we confirmed the user interactively simulates similar cutting to that carried out in real surgery.
Conclusion
We concluded our techniques perform mouse-based, direct drilling of complex 3D regions with high-quality rendering of drilled boundaries and contribute to preoperative planning of Microendoscopic Discectomy.
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References
Nakagawa Y, Yoshida M, Maio K (2006) Microendoscopic discectomy (MED) for surgical management of lumbar disc disease: technical note. Int J Spine Surgery 2(2). http://www.ispub.com/ostia/index.php?xmlFilePath=journals/ijss/vol2n2/med.xml
Nakatani N (2008) Computer-assisted navigation system in microendoscopic laminotomy for patients with lumbar spinal canal stenosis. Cent Jpn J Orthop Traumat 51(3): 491–492
Minamide A, Yoshida M, Yamada H, Nakagawa Y, Maio K, Keho H, Kawai M, Iwasaki H, Nakao S, Kawakami M, Ando M (2007) The usefulness of computed-assisted navigation system for microendoscopic decompression surgery for extraforaminal stenosis at L5-S1. In: 7th annual meeting of pacific and Asian society of minimally invasive spine surgery. Gyeongju, Korea
Kordelle J, Millis M, Jolesz FA, Kikinis R, Richolt JA (2001) Three-dimensional analysis of the proximal femur in patients with slipped capital femoral epiphysis based on the computed tomography. J Pediat Orthop 21: 179–182
Richolt JA, Teschner M, Everett P, Girod B, Millis M, Kikinis R (1998) Planning and evaluation of reorienting osteotomies of the proximal femur in cases of SCFE using virtual three-dimensional models. LNCS 1496: 1–8
Loncaric S, Kovacevic D, Sorantin E (2000) Semi-automatic active contour approach to segmentation of computed tomography volumes. Proc SPIE 3979: 917–924
Hamarneh G, Yang J, McIntosh C, Langille M (2005) 3D live-wire-based semi-automatic segmentation of medical images. SPIE Med Imaging 5747: 1597–1603
Galyean TA, Hughes JF (1991) Sculpting: an interactive volumetric modeling technique. In: Proceedings of SIGGRAPH, vol 91. pp 267–274
Avila RS, Sobierajskim LM (1996) A haptic interaction method for volume visualization. In: Proceedings of IEEE Visualization. pp 197–204
Wang SW, Kaufman AE (1995) Volume sculpting. In: Proceedings of the 1995 symposium on interactive 3D graphics. pp 151–156
Kim L, Park SH (2006) Haptic interaction and volume modeling techniques for realistic dental simulation. Vis Comput 22: 90–98
Agus M, Giachetti A, Gobbettiet E (2003) Adaptive techniques for real-time haptic and visual simu-lation of bone dissection. In: Proceedings of IEEE VR. pp 102–109
Prior A (2006) “On-the-fly” voxelization for 6 degrees-of-freedom haptic virtual sculpting. In: Proceedings of ACM VRCIA. pp 263–270
Petersik A, Pflesser B, Tiede U, Hohne K-H, Leuwer R (2003) Realistic haptic interaction in volume sculpting for surgery simulation. Surgery simulation and soft tissue modeling, International Symposium. IS4TM, pp 192–202
Pflesser B, Leuwer R, Tiede U, Höhne KH (2000) Planning and rehearsal of surgical interventions in the volume model. Stud Health Tech Inform 70: 259–264
Sorensen MS, Mosegaard J, Trier P (2009) 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 30(4): 484–487
Huff R, Dietrich CA, Nedel LP, Freitas CMDS, Comba JLD, Olabarriaga SD (2006) Erasing, digging and clipping in volumetric datasets with one or two hands. In: Proceedings of the ACM international conference on virtual reality continuum and its applications. pp 271–278
Chen H-L et al (2008) GPU-based point radiation for interactive volume sculpting and segmentation. Vis Comput 24(7–9): 689–698
Cabral B, Cam N, Foran J (1994) Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. In: Proceedings volume visualization symposium. pp 91–98
Levoy M (1990) Efficient ray-tracing of volume data. ACM Trans Graph 9(3): 256–261
Weiskopf D, Engel K, Ertl T (2003) Interactive clipping techniques for texture-based volume visualization and volume shading. IEEE Trans Vis Comput Graph 9: 298–312
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Imanishi, K., Nakao, M., Kioka, M. et al. Interactive bone drilling using a 2D pointing device to support Microendoscopic Discectomy planning. Int J CARS 5, 461–469 (2010). https://doi.org/10.1007/s11548-010-0413-z
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DOI: https://doi.org/10.1007/s11548-010-0413-z