Stereopsis-guided brain shift compensation

IEEE Transactions on Medical Imaging

Volumn 24, Issue 8, 2005, Pages 1039-1052

  Sun, Hai ^a   Lunn, Karen E ^b   Farid, Hany ^c   Wu, Ziji ^d   Roberts, David W ^e,f   Hartov, Alex ^d,f   Paulsen, Keith D ^d,e,f  

^a DARTMOUTH MEDICAL SCHOOL   (United States)

^b Denver School of Science and Technology   (United States)

^c Dartmouth Department of Computer Science_Dartmouth College   (United States)

^d DARTMOUTH COLLEGE   (United States)

^e DARTMOUTH HITCHCOCK MEDICAL CENTER   (United States)

^f NORRIS COTTON CANCER CENTER   (United States)

Author keywords

Brain deformation; Brain modeling; Image guided neurosurgery; Stereopsis

Indexed keywords

BIOMECHANICS; COMPUTERIZED TOMOGRAPHY; DATA ACQUISITION; MAGNETIC RESONANCE IMAGING; MICROSCOPIC EXAMINATION; NEUROSURGERY; STEREO VISION; TISSUE;

BRAIN DEFORMATION; BRAIN MODELING; IMAGE GUIDED NEUROSURGERY; STEREOPSIS;

BRAIN MODELS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN CORTEX; CASE REPORT; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED SURGERY; COMPUTER SIMULATION; DEPTH PERCEPTION; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; NEURONAVIGATION; NUCLEAR MAGNETIC RESONANCE IMAGING; PHOTOGRAPHY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBRAL CORTEX; COMPUTER SIMULATION; DEPTH PERCEPTION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; NEURONAVIGATION; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAMMETRY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED;

EID: 23844493446     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2005.852075     Document Type: Article

References (44)

1. 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., vol. 46, no. 2, pp. 213-225, Feb. 1999.
2. A. Hagemann, K. Rohr, H. S. Stiehl, U. Spetzger, and J. M. Gilsbach, "Biomechanical modeling of the human head for physically based, non-rigid image registration," IEEE Trans. Med. Imag., vol. 18, no. 10, pp. 875-884, Oct. 1999.
3. 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," in Lecture Notes in Computer Science, Duncan and Gindi, Eds. Berlin, Germany: Springer-Verlag, 1997, vol. 1230, Proc. 15th International Converence for Information Processing in Medical Imaging, pp. 218-231.
4. 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. Imag., vol. 20, no. 12, pp. 1384-1397, Dec. 2001.
5. O. Skrinjar, A. Nabavi, and J. Duncan, "Model-driven brain shift compensation," Med. Image Anal., vol. 6, pp. 361-373, 2002.
6. C. Davatzikos, D. Shen, A. Mohamed, and S. K. Kyriacou, "A framework for predictive modeling of anatomical deformations," IEEE Trans. Med. Imag., vol. 20, no. 8, pp. 836-843, Aug. 2001.
7. T. Hartkens, D. Hill, A. Castellano-Smith, D. J. Hawkes, C. R. Maurer, A. Martin, W. A. Hall, H. Liu, and C. L. Truwit, "Measurement and analysis of brain deformation during neurosurgery," IEEE Trans. Med. Imag., vol. 22, no. 1, pp. 82-92, Jan. 2003.
8. K. E. Lunn, A. Hartov, D. W. Roberts, H. Sun, and K. D. Paulsen, "Extracting displacement data from co-registered ultrasound for brain modeling," Proc. SPIE (Medical Imaging, Visualization, Display, and Image-Guided Procedures), vol. 4681, pp. 30-38, 2002.
9. H. Sun, H. Farid, K. Rick, A. Hartov, D. W. Roberts, and K. D. Paulsen, "Estimating cortical surface motion using stereopsis for brain deformation models," in Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 2003, vol. 2878, Medical Image Computing and Computer-Assisted Intervention, pp. 794-801.
10. C. R. Maurer, D. L. G. Hill, A. J. Martin, H. Liu, M. McCue, D. Rueckert, D. Lloret, W. A. Hall, R. E. Maxwell, D. J. Hawkes, and C. L. Truwit, "Investigation of intraoperative brain deformation using a 1.5-T interventional MR system: Preliminary results," IEEE Trans. Med. Imag., vol. 17, no. 5, pp. 817-825, Oct. 1998.
11. P. M. Black, E. Alexander III, C. Martin, T. Moriarty, A. Nabavi, T. Z. Wong, R. B. Schwartz, and F. Jolesz, "Craniotomy for tumor treatment in an intraoperative magnetic resonance imaging unit," Neurosurgery, vol. 45, pp. 423-433, 1999.
12. M. Hadani, R. Spiegelmen, Z. Feldman, H. Berkenstadt, and Z. Ram, "Novel, compact, intraoperative magnetic resonance imaging-guided system for conventional neurosurgical operating rooms," Neurosurgery, vol. 48, pp. 799-809, 2001.
13. W. A. Hall, H. Liu, A. J. Martin, C. H. Pozza, R. E. Maxwell, and C. L. Truwit, "Safety, efficacy, and functionality of high-field strength interventional magnetic resonance imaging for neurosurgery," Neurosurgery, vol. 46, pp. 632-642, 2000.
14. G. J. Rubino, K. Farahani, D. McGill, B. Van de Wiele, J. P. Villabianca, and A. Wang-Mathieson, "Magnetic resonance imaging-guided neurosurgery in the magnetic fringe fields: The next step in neuronavigation," Neurosurgery, vol. 46, pp. 643-654, 2000.
15. 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. Aid. Surg., vol. 2, pp. 172-179, 1997.
16. L. D. Lunsford, D. Kondziolka, and D. J. Bissonette, "Intraoperative imaging of the brain," Stereotactic Functional Neurosurg., vol. 66, pp. 58-64, 1996.
17. 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., vol. 27, pp. 787-800, 2000.
18. M. M. Bonsanto, A. Staubert, C. R. Wirtz, V. Tronnier, and S. Kunze, "Initial experience with an ultrasound-integrated single-rack neuronavigation system," Acta Neurochirurgica, vol. 143, no. 11, pp. 1127-1132, 2001.
19. A. Jödicke, W. Deinsberger, H. Erbe, A. Kriete, and D.-K. Böker, "Intraoperative three-dimensional ultrasonography: An approach to register brain shift using multidimensional image processing," Minimally Invasive Neurosurg., vol. 41, pp. 13-19, 1998.
20. J. Koivukangas, Y. Louhisalmi, J. Alakuijala, and J. Okarinenen, "Ultra-sound-controlled neuronavigator-guided brain surgery," J. Neurosurg., vol. 79, pp. 36-42, 1993.
21. G. Unsgaard, A. Gronningsaeter, S. Ommedal, and T. Hernes, "Brain operations guided by real-time two-dimensional ultrasound: New possibilities as a result of improved image quality," Neurosurgery, vol. 51, no. 2, pp. 402-412, 2002.
22. K. E. Lunn, K. D. Paulsen, D. W. Roberts, F. E. Kennedy, A. Hartov, and J. D. West, "Displacement estimation with co-registered ultrasound for image guided neurosurgery: A quantitative in vivo porcine study," IEEE Trans. Med. Imag., vol. 22, no. 11, pp. 1358-1368, Nov. 2003.
23. M. A. Audette, K. Siddiqi, and T. M. Peters, "Level-set surface segmentation and fast cortical range image tracking for computing intrasurgical deformations," in Lecture Notes in Computer Science: Springer-Verlag, 1999, Medical Image Computing and Computer-Assisted Intervention, pp. 788-797.
24. M. I. Miga, T. K. Sinha, D. M. Cash, R. L. Galloway, and R. J. Weil, "Cortical surface registration for image-guided neurosurgery using laser-range scanning," IEEE Trans. Med. Imag., vol. 22, no. 8, pp. 973-985, Aug. 2003.
25. O. Skrinjar, H. Tagare, and J. Duncan, "Surface growing from stereo images," in Proc. IEEE Computer Society Conf. Computer Vision and Pattern Recognition, 2000, pp. 571-576.
26. O. Skrinjar, "Deformable models in image-guided neurosurgery," Ph.D. dissertation, Yale Univ., New Haven, CT, 2002.
27. O. Skrinjar and J. Duncan, "Stereo-guided volumetric deformation recovery," in Proc. Int. Symp. Biomeddal Imaging, 2002, pp. 863-866.
28. R. Y. Tsai, "A versatile camera calibration technique for high-accuracy 3-D machine vision metrology using off-the-shelf TV cameras and lenses," IEEE J. Robot. Autom., vol. 3, pp. 323-344, 1987.
29. R. Willson. (1995) Computer Code for Tsai's Camera Calibration Algorithm. [Online]. Available: http://www-2.cs.cmu.edu/afs/cs.cmu.edu/user/rgw/www/TsaiCode.html
30. O. Faugeras, Three-Dimensional Computer Vision. Cambridge, MA: MIT Press, 1993.
31. E. Trucco and A. Verri, Introductory Techniques for 3-D Computer Vision. Upper Saddle River, NJ: Prentice-Hall, 1998.
32. U. R. Dhond and J. K. Aggarwal, "Structure from stereo - A review," IEEE Trans. Syst., Man, Cybern., vol. 19, no. 6, pp. 1489-1510, Nov.-Dec. 1989.
33. R. Hartley and R. Gupta, "Computing matched-epipolar projections," in Proc. IEEE Conf. Computer Vision and Pattern Recognition, 1993, pp. 549-555.
34. W. E. Lorensen and H. E. Cline, "Marching cubes: A high resolution 3D surface construction algorithm," Comput. Graphics, vol. 21, pp. 163-169, 1987.
35. J. M. Sullivan, G. Charron, and K. D. Paulsen, "A three-dimensional mesh generator for arbitrary multiple material domains," Finite Elements Anal. Design, vol. 25, pp. 219-241, 1997.
36. H. Sun, H. Farid, A. Hartov, K. E. Lunn, D. W. Roberts, and K. D. Paulsen, "Real-time correction scheme for calibration and implementation of microscope-based image-guided neurosurgery," Proc. SPIE (Medical Imaging, Visualization, Display, and Image-Guided Procedures), vol. 4681, pp. 47-54, 2002.
37. P. J. Besl and N. D. McKay, "A method for registration of 3-D shapes," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 2, pp. 239-256, Feb. 1992.
38. M. Biot, "General theory of three-dimensional consolidation," J. Appl. Phys., vol. 12, pp. 155-164, 1941.
39. H. Sun, D. W. Roberts, H. Farid, Z. Wu, A. Hartov, and K. D. Paulsen, "Cortical surface tracking using a stereoscopic operating microscope, " Neurosurgery (Suppl. Operative Neurosurgery), vol. 56, no. 1, pp. 86-97, 2005.
40. (2000) Products of NDI: Polaris. Northern Digital Inc.. [Online]. Available: http://www.ndigital.com/polaris.html
41. J. M. Fitzpatrick, J. B. West, and C. R. Maurer Jr., "Predicting error in rigid-body point-based registration," IEEE Trans. Med. Imag., vol. 17, no. 5, pp. 694-702, Oct. 1998.
42. M. I. Miga, "Development and quantification of a 3D brain deformation model for model-updated image-guided stereotactic neurosurgery," Ph.D. dissertation, Thayer Seh. Eng., Dartmouth Coll., Hanover, NH, 1998.
43. H. Sun, F. E. Kennedy, E. J. Carlson, A. Hartov, D. W. Roberts, and K. D. Paulsen, "Modeling of brain tissue retraction using intraoperative data," in Lecture Notes in Computer Science. Berlin, Germany: Springer-Verlag, 2004, vol. 3217, Medical Image Computing and Computer-Assisted Intervention, pp. 225-233.
44. K. E. Lunn, K. D. Paulsen, D. W. Roberts, F. E. Kennedy, and A. Hartov, "Inverse technique for combined model and sparse data estimates of brain motion," Proc. SPIE (Medical Imaging, Visualization, Display, and Image-Guided Procedures), vol. 4, no. 20, pp. 87-97, 2003.