Full text loading...
Incorporation of a laser range scanner into image-guided liver surgery: Surface acquisition, registration, and tracking
1.D. J. Engle and L. D. Lunsford, “Brain tumor resection guided by intraoperative computed tomography,” J. Neuro-Oncol. 4, 361–370 (1987).
2.C. Nimsky, O. Ganslandt, H. Kober, M. Buchfelder, and R. Fahlbusch, “Intraoperative magnetic resonance imaging combined with neuronavigation: a new concept,” Neurosurgery 48, 1082–1089 (2001).
3.P. M. Black, T. Moriarty, E. Alexander III, P. Stieg, E. J. Woodard, P. L. Gleason, C. H. Martin, R. Kikinis, R. B. Schwartz, and F. A. Jolesz, “Development and implementation of intraoperative magnetic resonance imaging and its neurosurgical applications,” Neurosurgery 41, 831–842 (1997).
4.T. Kaibara, S. T. Myles, M. A. Lee, and G. R. Sutherland, “Optimizing epilepsy surgery with intraoperative MR imaging,” Epilepsia 43, 425–429 (2002).
5.S. K. Yrjana, J. P. Katisko, R. O. Ojala, O. Tervonen, H. Schiffbauer, and J. Koivukangas, “Versatile Intraoperative MRI in neurosurgery and radiology,” Acta Neurochir. 144, 271–278 (2002).
6.M. Ferrant, A. Nabavi, B. Macq, F. A. Jolesz, R. Kikinis, and S. K. Warfield, “Registration of 3-D intraoperative MR images of the brain using a finite-element biomechanical model,” IEEE Trans. Med. Imaging 20, 1384–1397 (2001).
7.C. R. Wirtz, V. M. Tronnier, M. M. Bonsanto, M. Knauth, A. Staubert, F. K. Albert, and S. Kunze, “Image-guided neurosurgery with intraoperative MRI: Update of frameless stereotaxy and radicality control,” Stereotact Funct Neurosurg. 68, 39–43 (1997).
8.M. Bernstein, A. R. Al Anazi, W. Kucharczyk, P. Manninen, M. Bronskill, and M. Henkelman, “Brain tumor surgery with the Toronto open magnetic resonance imaging system: Preliminary results for 36 patients and analysis of advantages, disadvantages, and future prospects,” Neurosurgery 46, 900–907 (2000).
9.C. R. Wirtz, M. M. Bonsanto, M. Knauth, V. M. Tronnier, F. K. Albert, A. Staubert, and S. Kunze, “Intraoperative magnetic resonance imaging to update interactive navigation in neurosurgery: method and preliminary experience,” Comput. Aided Surg. 2, 172–179 (1997).
10.M. Knauth, N. Aras, C. R. Wirtz, A. Dorfler, T. Engelhorn, and K. Sartor, “Surgically induced intracranial contrast enhancement: potential source of diagnostic error in intraoperative MR imaging,” Am. J. Neuroradiol. 20, 1547–1553 (1999).
11.R. D. Bucholz, D. D. Yeh, J. Trobaugh, L. L. McDurmont, C. D. Sturm, C. Baumann, J. M. Henderson, A. Levy, and P. Kessman, “The correction of stereotactic inaccuracy caused by brain shift using an intraoperative ultrasound device,” Cvrmed-Mrcas’97, 1997, Vol. 1205, pp. 459–466.
12.R. M. Comeau, A. F. Sadikot, A. Fenster, and T. M. Peters, “Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery,” Med. Phys. 27, 787–800 (2000).
13.D. G. Gobbi, R. M. Comeau, and T. M. Peters, “Ultrasound probe tracking for real-time ultrasound/MRI overlay and visualization of brain shift,” Medical Image Computing and Computer-Assisted Intervention, Miccai’99, Proceedings, 1999, Vol. 1679, pp. 920–927.
14.A. Gronningsaeter, A. Kleven, S. Ommedal, T. E. Aarseth, T. Lie, F. Lindseth, T. Lango, and G. Unsgard, “SonoWand, an ultrasound-based neuronavigation system,” Neurosurgery 47, 1373–1379 (2000).
15.M. A. Biot, “General theory of three-dimensional consolidation,” J. Appl. Phys. 12, 155–164 (1941).
16.K. D. Paulsen, M. I. Miga, F. E. Kennedy, P. J. Hoopes, A. Hartov, and D. W. Roberts, “A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery,” IEEE Trans. Biomed. Eng. 46, 213–225 (1999).
17.M. I. Miga, D. W. Roberts, F. E. Kennedy, L. A. Platenik, A. Hartov, K. E. Lunn, and K. D. Paulsen, “Modeling of retraction and resection for intraoperative updating of images,” Neurosurgery 49, 75–84 (2001).
18.P. J. Edwards, D. L. G. Hill, J. A. Little, and D. J. Hawkes, “Deformation for image guided interventions using a three component tissue model,” Med. Image Anal 2, 355–367 (1998).
19.A. Hagemann, K. Rohr, H. S. Stiehl, U. Spetzger, and J. M. Gilsbach, “Biomechanical modeling of the human head for physically based, nonrigid image registration,” IEEE Trans. Med. Imaging 18, 875–884 (1999).
20.K. Miller and K. Chinzei, “Constitutive modelling of brain tissue: experiment and theory,” J. Biomech. 30, 1115–1121 (1997).
21.J. Marescaux, J. M. Clement, V. Tassetti, C. Koehl, S. Cotin, Y. Russier, D. Mutter, H. Delingette, and N. Ayache, “Virtual reality applied to hepatic surgery simulation: the next revolution,” Ann. Surg. 228, 627–634 (1998).
22.M. Bro-Nielsen, “Fast finite elements for surgery simulation,” Stud. Health Technol. Inform. 39, 395–400 (1997).
23.H. Delingette, “Towards realistic soft tissue modeling in medical simulation,” Proc. IEEE 86, 512–523 (1998).
24.M. Chabanas and Y. Payan, “A 3D finite element model of the face for simulation in plastic and maxillo-facial surgery,” Medical Image Computing and Computer-Assisted Intervention, Miccai 2000, 2000, Vol. 1935, pp. 1068–1075.
25.G. Szekely, C. Brechbuhler, R. Hutter, A. Rhomberg, N. Ironmonger, and P. Schmid, “Modelling of soft tissue deformation for laparoscopic surgery simulation,” Med. Image Anal 4, 57–66 (2000).
26.M. A. Audette, K. Siddiqi, and T. M. Peters, “Level-set surface segmentation and fast cortical range image tracking for computing intrasurgical deformations,” in Ref. 13, pp. 788–797.
27.A. Raabe, R. Krishnan, R. Wolff, E. Hermann, M. Zimmermann, and V. Seifert, “Laser surface scanning for patient registration in intracranial image-guided surgery,” Neurosurgery 50, 797–801 (2002).
28.N. Furushiro, T. Saito, Y. Masutani, and I. Sakuma, “Specification method of surface measurement for surgical navigation: Ridgeline based organ registration,” Medical Image Computing and Computer-Assisted Intervention, Miccai’02, 2002, Vol. 2489, pp. 109–115.
29.T. K. Sinha, D. M. Cash, R. J. Weil, R. L. Galloway, and M. I. Miga, “Cortical surface registration using texture mapped point clouds and mutual information,” in Ref. 28, 2489, pp. 533–540.
30.3D Digital Corporation, “RealScan USB Brochure,” 2001.
31.S. J. Ahn, W. Rauh, and H. J. Warnecke, “Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola,” Pattern Recogn. 34, 2283–2303 (2001).
32.Northern Digital Inc., “OPTOTRAK—Technical Specifications,” http://www.ndigital.com/optotrak_technical.html, 2002.
33.B. K. P. Horn, “Closed-form solution of absolute orientation using unit quaternions,” J. Opt. Soc. Am. 4, 629–642 (1987).
34.P. H. Schönemann and R. M. Carroll, “Fitting one matrix to another under choice of a central dilation and a rigid motion,” Psychometrika 35, 245–255 (1970).
35.P. J. Besl and N. D. Mckay, “A method for registration of 3-D shapes,” IEEE Trans. Pattern Anal. Mach. Intell. 14, 239–256 (1992).
36.Z. Y. Zhang, “Iterative point matching for registration of free-form curves and surfaces,” Int. J. Comput. Vis. 13, 119–152 (1994).
37.J. H. Friedman, J. L. Bentley, and R. A. Finkel, “An algorithm for finding best matches in logarithmic expected time,” ACM Trans. Math. Softw. 3, 209–226 (1977).
38.A. Nabavi, P. M. Black, D. T. Gering, C. F. Westin, V. Mehta, R. S. Pergolizzi, M. Ferrant, S. K. Warfield, N. Hata, R. B. Schwartz, W. M. Wells, R. Kikinis, and F. A. Jolesz, “Serial intraoperative magnetic resonance imaging of brain shift,” Neurosurgery 48, 787–797 (2001).
39.C. Nimsky, O. Ganslandt, S. Cerny, P. Hastreiter, G. Greiner, and R. Fahlbusch, “Quantification of, visualization of, and compensation for brain shift using intraoperative magnetic resonance imaging,” Neurosurgery 47, 1070–1079 (2000).
40.C. Couinaud, Le Foie: Etudes Anatomiques et Chirurgicales (Masson, Paris, 1957).
41.C. R. Maurer, Jr., J. M. Fitzpatrick, M. Y. Wang, R. L. Galloway, Jr., R. J. Maciunas, and G. S. Allen, “Registration of head volume images using implantable fiducial markers,” IEEE Trans. Med. Imaging 16, 447–462 (1997).
42.R. G. Dorsch, G. Hausler, and J. M. Herrmann, “Laser triangulation—fundamental uncertainty in distance measurement,” Appl. Opt. 33, 1306–1314 (1994).
43.H. Y. Feng, Y. X. Liu, and F. F. Xi, “Analysis of digitizing errors of a laser scanning system,” Precision Engineering - J. Inter. Soc. Precision Eng. Nanotechnology 25, 185–191 (2001).
44.F. Xi, Y. Liu, and H. Y. Feng, “Error compensation for three-dimensional line laser scanning data,” Int. J. Adv. Manufacturing Technol. 18, 211–216 (2001).
45.B. Curless and M. Levoy, “Better optical triangulation through spacetime analysis,” IEEE 5th International Conference on Computer Vision, Boston, MA, 1995, pp. 987–994.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Article metrics loading...