Skip to main content

Medical image analysis and simulation

  • Invited Lecturers
  • Conference paper
  • First Online:
Advances in Computing Science — ASIAN'97 (ASIAN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1345))

Included in the following conference series:

Abstract

This article introduces the research field of digital image analysis and simulation applied to medicine.

Although the number of medical images produced in the world increases each year, their quantitative exploitation for diagnosis and therapy remains quite suboptimal.

This article reviews the potentialities offered by the research in digital image analysis and simulation, and presents a short survey of the state of the art.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Taylor, S. Lavallee, G. Burdea, and R. Moesges, editors. Computer Integrated Surgery. MIT Press, 1995.

    Google Scholar 

  2. G. Gerig T. Pun and O. Ratib. Image Analysis and Computer Vision in Medicine. Computerized Medical Imaging and Graphics, 18(2):85–96, 1994.

    Article  PubMed  Google Scholar 

  3. N. Ayache. Medical computer vision, virtual reality and robotics. Image and Vision Computing, 13(4):295–313, 1995. promising research track.Also available at http://www.inria.fr/epidaure/personnel/ayache/ayache.html.

    Article  Google Scholar 

  4. R. Acharya, R. Wasserman, J. Stevens, and C. Hinojosa. Biomedical Imaging modalities: a tutorial. Computerized Medical Imaging and Graphics, 19(1):3–25, 1995.

    Article  PubMed  Google Scholar 

  5. N. Ayache, P. Cinquin, I. Cohen, L. Cohen, F. Leitner, and O. Monga. Segmentation of complex 3D medical objects: a challenge and a requirement for computer assisted surgery planning and performing. In R. Taylor, S. Lavallee, G. Burdea, and R. Moesges, editors, Computer Integrated Surgery, pages 59–74. MIT Press, 1995.

    Google Scholar 

  6. Tim McInerney and Demetri Terzopoulos. Deformable Models in Medical Image Analysis: A Survey. Medical Image Analysis, 1(2):91–108, 1996.

    Article  PubMed  Google Scholar 

  7. W. Barrett and E. Mortensen. Fast, Accurate, and Reproducible Live-Wire Boundary Extraction. Medical Image Analysis, 1(4), 1997.

    Google Scholar 

  8. I. Cohen, L. D. Cohen, and N. Ayache. Using deformable surfaces to segment 3-D images and infer differential structures. Computer Vision, Graphics and Image Processing: Image Understanding, 56(2):242–263, 1992.

    Google Scholar 

  9. H. Delingette. General object reconstruction based on simplex meshes. Technical Report 3111, INRIA, February 1997.

    Google Scholar 

  10. B.M. Ter Haar Romeny. Introduction to scale-space theory: Multiscale geometric image analysis. Technical Report ICU-96-21, Utrecht University, September 1996. http://www.cv.ruu.nl/Conferences/ScaleSpace97.html.

    Google Scholar 

  11. G. Gerig, O. Kübler, R. Kikinis, and F.A. Jolesz. Nonlinear Anisotropic Filtering of MRI Data. IEEE Transactions on medical imaging, 11(2):221–232, 1992.

    Article  Google Scholar 

  12. L.M. Florack, A.H. Salden, B.M. ter Harr Romeny, J.J. Koenderink, and M.A. Viergever. Nonlinear scale-space. Image and Vision Computing, 13(4):279–294, May 1995.

    Article  Google Scholar 

  13. W.J. Niessen, K.L. Vincken, and M.A. Viergever. Comparison of multiscale representations for a linking-based image segmentation model. In Proceedings of MMBIA, pages 263–272, June 1996.

    Google Scholar 

  14. Th.M. Koller, G. Gerig, G. Székely, and D. Dettwiler. Multiscale detection of curvilinear structures in 2-D and 3-D image data. In IEEE, editor, International Conference on Computer Vision (ICCV'95), pages 864–869, 1995.

    Google Scholar 

  15. C. Lorenz, I.C. Carlsen, T.M. Buzug, C. Fassnacht, and J. Weese. Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2d and 3d medical images. In J. Troccaz E. Grimson, R. Moesges, editor, CVRMed-MRCAS: International Conference on medical computer vision, virtual reality, robotics and computer assisted surgery, Grenoble, France, 1997. Springer-Verlag. Lecture Notes in Computer Science.

    Google Scholar 

  16. K. Krissian, G. Malandain, and N. Ayache. Directional anisotropie diffusion applied to segmentation of vessels in 3d images. In First Conference on Scale-Space Theory in Computer Vision, Utrecht, the Netherlands, July 1997.

    Google Scholar 

  17. S. Pizer, D. Eberly, B. Morse, and D. Fritsch. Zoom-invariant vision of figural shape: the mathematics of cores. Technical report, University of North Carolina, 1996. available through S. Pizer:pizer@cs.unc.edu.

    Google Scholar 

  18. K.H. Höhne and W. Hanson. Interactive 3-D segmentation of MRI and CT volumes using morphological operations. Journal of Computer Assisted Tomography, 16(2):285–294, March/April 1992.

    PubMed  Google Scholar 

  19. T. Kapur, W.E.L. Grimson, W. Wells, and R. Kikinis. Segmentation of Brain Tissue from MR Images. Medical Image Analysis, 1(2):109–127, 1996.

    Article  PubMed  Google Scholar 

  20. W.M. Wells III, W.E.L. Grimson, R. Kikinis, and F.A. Jolesz. Adaptive segmentation of MRI data. In N. Ayache, editor, First International conference on computer vision, virtual reality and robotics in medicine, CVRMed'95, Nice, France, 1995. Springer-Verlag. Lecture Notes in Computer Science. To appear in IEEE Tr. on Medical Imaging.

    Google Scholar 

  21. R. Guillemaud and M. Brady. Enhancement of MR Images. In K. H. Höhne and R. Kikinis, editors, Visualization in Biomedical Computing, volume 1131 of Lecture Notes in Computer Science, Hamburg (Germany), September 1996. Springer.

    Google Scholar 

  22. P. Hayton, M. Brady, L. Tarassenko, and N. Moore. Analysis of dynamic MR breast images using a model of contrast enhancement. Medical Image Analysis, 1(3):207–224, 1997.

    Article  PubMed  Google Scholar 

  23. Petra A. van den Elsen J. B. Antoine Maintz and Max A. Viergever. Comparison of edge-based and ridge-based registration of CT and MR brain images. Medical Image Analysis, 1(2):151–161, 1996.

    Article  PubMed  Google Scholar 

  24. J-P Thirion. New feature points based on geometric invariants for 3d image registration. International Journal of Computer Vision, 18(2):121–137, May 1996.

    Article  Google Scholar 

  25. D. Eberly, R. Gardner, B. Morse, S. Pizer, and C. Scharlach. Ridges for image analysis. Mathematical Imaging and Vision, 4:353–373, 1994.

    Article  Google Scholar 

  26. O. Monga, S. Benayoun, and O. Faugeras. From partial derivatives of 3D volumetric images to ridge lines. In IEEE Conf. on Computer Vision and Pattern Recognition, CVPR'92, Urbana Champaign, 1992.

    Google Scholar 

  27. Márta Fidrich. Following feature lines across scale. In First Conference on Scale-Space Theory in Computer Vision, Utrecht, the Netherlands, July 1997.

    Google Scholar 

  28. Wiliam E. Lorensen and Harvey E. Cline. Marching cubes: A high resolution 3d surface reconstruction algorithm. Computer Graphics, 21(4), July 1987.

    Google Scholar 

  29. J-D. Boissonnat and B. Geiger. 3D reconstruction of complex shapes based on the delaunay triangulation. Inria research report, (1697), 1992.

    Google Scholar 

  30. J-P. Thirion and A. Gourdon. The 3d marching lines algorithm. Graphical Models and Image Processing, 58(6):503–509, November 1996.

    Article  Google Scholar 

  31. G. Herman. 3-D Display: a survey from theory to applications. Computerized Medical Imaging and Graphics, 17(4):231–242, 1993.

    Article  PubMed  Google Scholar 

  32. M. Stytz, G. Frieder, and O. Frieder. Three-Dimensional Medical Imaging: Algorithms an Computer Systems. ACM Computing Surveys, 23(4), 1991.

    Google Scholar 

  33. T. Schiemann, J. Nutmann, U. Tiede, and K.H. Hoehne. Segmentation of the visible human for high quality volume based visualisation. Medical Image Analysis, 1(4), 1997.

    Google Scholar 

  34. P.A. van den Elsen, E.J.D. Pol, and M.A. Viergever. Medical image matching — a review with classification. IEEE Engineering in Medicine and Biology, 12(4):26–39, March 1993.

    Article  Google Scholar 

  35. S. Lavallee. Registration for computer integrated surgery: methodology, state of the art. In R. Taylor, S. Lavallee, G. Burdea, and R. Moesges, editors, Computer Integrated Surgery, pages 77–97. MIT Press, 1995.

    Google Scholar 

  36. J. West and al. Comparison and evaluation of retrospective inter-modality registration techniques. Computer Assisted Tomography, 1997. http://cswww.vuse.vanderbilt.edu/ image/registration.

    Google Scholar 

  37. P. van den Elsen, A.J.B. Maintz, E-J.D. Pol, and M.A. Viergever. Automatic Registration of CT and MR Brain Images using Correlation of Geometrical Features. IEEE Trans. on Medical Imaging, 14(2):384–396, June 1995.

    Article  Google Scholar 

  38. A. Guéziec and N. Ayache. Smoothing and matching of 3-D-space curves. Int. Journal of Computer Vision, 12(1):79–104, 1994.

    Article  Google Scholar 

  39. Colin Studholme, D. L. G. Hill, and D. J. Hawkes. Automated 3-D Registration of MR and CT Images of the Head. Medical Image Analysis, 1(2):91–108, 1996.

    Article  PubMed  Google Scholar 

  40. G. Malandain and S. Fernandez-Vidal. Physically based rigid registration of 3-d free-form objects: Aplication to medical imaging. Technical Report 2453, INRIA, Sophia-Antipolis, January 1995.

    Google Scholar 

  41. W.E.L. Grimson, G.J. Ettinger, S.J. White, P.L. Gleason, T. Lozano-Perez, W.M. Wells III, and R. Kikinis. Evaluating and validating an automated registration system for enhanced reality visualization in surgery. In N. Ayache, editor, First In ternational conference on computer vision, virtual reality and robotics in medicine, CVRMed'95, Nice, France, 1995. Springer-Verlag. Lecture Notes in Computer Science. To appear in IEEE Tr. on Medical Imaging.

    Google Scholar 

  42. R.P. Woods, J.C. Mazziotta, and S.R. Cherry. MRI-PET registration with automated algorithm. Journal of Computer Assisted Tomography, 17(4):536–546, 1993.

    PubMed  Google Scholar 

  43. H. Jiang, R. Robb, and K. Holton. A new approach to 3-D registration of multimodality medical images by surface matching. In Visualization in Biomedical Computing, volume 1808 of SPIE proceedings series, pages 196–213. SPIE, 1992.

    Google Scholar 

  44. C.A. Pelizzari and al. Accurate three-dimensional registration of CT, PET and/or MR images of the brain. Journal of Computer Assisted Tomography, 13(1):20–26, 1989.

    PubMed  Google Scholar 

  45. W.M. Wells, P. Viola, Hideki Atsumi, Shin Nakajima, and Ron Kikinis. MultiModal Volume Registration by Maximization of Mutual Information. Medical Image Analysis, 1(1):35–51, 1996.

    Article  Google Scholar 

  46. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens. Multi-Modal Volume Registration by Maximization of Mutual Information. IEEE Trans. on Medical Imaging, 1997. in press.

    Google Scholar 

  47. D. Hill, C. Studholme, and D. Hawkes. Voxel similarity measures for automated image registration. In Richard A. Robb, editor, Third Conf. Visualization in Biomedical Computing VBC'94, october 1994.

    Google Scholar 

  48. X. Pennec and J.P. Thirion. A framework for uncertainty and validation of 3d registration methods based on points and frames. Int. Journal of Computer Vision, 1997. in press.

    Google Scholar 

  49. J. Feldmar, N. Ayache, and F. Betting. 3d-2d projective registration of free-form curves and surfaces. Computer Vision and Image Understanding, 65(3):403–424, 1997. Also INRIA Research Report Number H120, 1995.

    Article  Google Scholar 

  50. R. Szeliski S. Lavallee and L. Brunie. Anatomy based registration of 3-d medical images, range images, x-ray projections, and 3-d models using octree splines. In R. Taylor, S. Lavallee, G. Burdea, and R. Moesges, editors, Computer Integrated Surgery, pages 115–143. MIT Press, 1995.

    Google Scholar 

  51. H. Fuchs, A. State, E. Pisano, W. Garrett, G. Hirota, M. Livingston, M. Whitton, and S. Pizer. Towards performing ultrasound-guided needle biopsies from within a head-mounted display. In K.H. Höhne and R. Kikinis, editors, Visualization in Biomedical Computing VBC'96, volume 1131 of Lec. Notes in Computer Science, pages 591–600, Hamburg, Germany, September 1996. Springer.

    Google Scholar 

  52. A. Colchester, J. Zhao, K. Holton-Tainter, C. Henri, N. Maitland, P. Roberts, C.Harris, and R. Evans. Develpment and preliminary evaluation of VISLAN, a surgical planning and guidance system using intra-operative video imaging. Medical Image Analysis, 1(1):73–90, 1996.

    Article  PubMed  Google Scholar 

  53. B. Geiger and R. Kikinis. Simulation of endoscopy. In Computer Vision, Virtual Reality and Robotics in Medecine, volume 905 of Lecture Notes in Computer Science, pages 277–281, 1995.

    Google Scholar 

  54. R. Szeliski and S. Lavallee. Matching 3-d anatomical surfaces with non-rigid deformations using octree-splines. the International Journal of Computer Vision, 18(2):171–186, 1996.

    Article  Google Scholar 

  55. J. Declerck, G. Subsol, J. Ph. Thirion, and N. Ayache. Automatic retrieval of anatomical structures in 3D medical images. In N. Ayache, editor, First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, CVRMed'95, volume 905 of Lecture Notes in Computer Science, pages 153–162, Nice (France), April 1995. Springer Verlag. Electronic version: http://www.inria.fr/RRRT/RR-2485.html.

    Google Scholar 

  56. J. Declerck, J. Feldmar, M.L. Goris, and F. Betting. Automatic Registration and Alignment on a Template of Cardiac Stress & Rest SPELT Images. In Mathematical Methods in Biomedical Image Analysis, pages 212–221, June 1996. (Also INRIA Research Report # 2770).

    Google Scholar 

  57. J. Feldmar and N. Ayache. Rigid, affine and locally affine registration of free-form surfaces. the International Journal of Computer Vision, 18(2):99–119, 1996.

    Article  Google Scholar 

  58. Gary E. Christensen, Michael 1. Miller, and Michael Vannier. A 3d deformable magnetic resonance textbook based on elasticity. In AAAI Spring Symposium Series: Applications of Computer Vision in Medical Image Processing, pages 153–156 Standford University, March 1994.

    Google Scholar 

  59. J-P Thirion. Non-rigid matching using demons. In Computer Vision and Pattern Recognition, CVPR'96, San Francisco, California USA, June 1996.

    Google Scholar 

  60. M. Bro-Nielsen and C. Gramkow. Fast fluid registration of medical images. In K.H. Höhne and R. Kikinis, editors, Visualization in Biomedical Computing VBC'96, volume 1131 of Lec. Notes in Computer Science, pages 267–276, Hamburg, Germany, September 1996. Springer.

    Google Scholar 

  61. S. Small, editor. The statistical theory of shape. Springer, 1996.

    Google Scholar 

  62. X. Pennec. L'incertitude dans les de problèmes de reconnaissance et de recalage-Applications en imagerie et biologie moléculaire (in French. PhD thesis, Ecole Polytechnique and INRIA, 1996. Electronic version: http//www.inria.fr/epidaure/personnel/pennee/These.html.

    Google Scholar 

  63. X. Pennec and N. Ayache. Uniform distribution, distance and expectation problems for geometric features processing. Journal of Mathematical Imaging and Vision, 1997. in press.

    Google Scholar 

  64. P. Thompson and A.W. Toga. Visualization and Mapping of Anatomic Abnormailities Using a Probabilistic Brain Atlas Based on Random Fluid Transformations. Medical Image Analysis, 1(4), 1997.

    Google Scholar 

  65. A.C. Evans, S. Marrett, J. Torrescorzo, S. Ku, and L. Collins. MRI-PET correlation in three dimensions using a volume-of-interest (voi) atlas. Journal of Cerebral Blood Flow Metabolism, 11:A69–A78, 1991.

    PubMed  Google Scholar 

  66. F. Bookstein. Landmarks methods for forms without landmarks: morphometrics of group differences in outline shape. Medical Image Analysis, 1(3):225–243, 1997.

    Article  PubMed  Google Scholar 

  67. D. Dean, P. Buckley, F. Bookstein, J. Kamath, D. Kwon, L. Friedman, and Ch. Lys. Three Dimensional MR-Based Morphometric Comparison of Schizophrenic and Normal Cerebral Ventricles. In Höhne K.H. and Kikinis, R., editor, Visualization in Biomedical Computing, volume 1131 of Lecture Notes in Computer Science, pages 363–372, Hamburg (Germany), September 1996. Springer.

    Google Scholar 

  68. C. Davatzikos, M. Vaillant, S. Resnick, J.L. Prince, S. Letovsky, and R.N. Bryan. Morphological Analysis of Brain Structure Using Spatial Normalization. Medical Image Analysis, 1(4), 1997.

    Google Scholar 

  69. G. Subsol, J.-Ph. Thirion, and N. Ayache. Application of an Automatically Built 3D Morphometric Brain Atlas: Study of Cerebral Ventricle Shape. In K. H. Höhne and R. Kikinis, editors, Visualization in Biomedical Computing, volume 1131 of Lecture Notes in Computer Science, pages 373–382, Hamburg (Germany), September 1996. Springer.

    Google Scholar 

  70. G. Subsol, N. Roberts, M. Doran, and J. Ph. Thirion. Automatic Analysis of Cerebral Atrophy. Magnetic Resonance Imaging, September 1997.

    Google Scholar 

  71. J.F. Mangin, V. Frouin, I. Bloch, J. Régis, and Lòpez-Krahe J. From 3D Magnetic Resonance Images to Structural Representations of the Cortex Topography using Topology Preserving Deformations. Journal of Mathematical Imaging and Vision, 5:297–318, December 1995.

    Article  Google Scholar 

  72. J. Martin, A. Pentland, and R. Kikinis. Shape Analysis of Brain Structures Using Physical and Experimental Modes. In Computer Vision and Pattern Recognition, pages 752–755, Seattle, Washington (USA), June 1994.

    Google Scholar 

  73. J. W. Martin. Characterization of Neuropathological Shape Deformations. PhD thesis, Massachusetts Institute of Technology, May 1995. Electronic version: http//splweb.bwh.harvard.edu:8000/pages/papers/martin/thesis.ps.Z.

    Google Scholar 

  74. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham. Active Shape Models— Their Training and Application. Computer Vision and Image Understanding, 61(1):38–59, January 1995.

    Article  Google Scholar 

  75. G. Székely, A. Kelemen, Ch. Brechbiihler, and G. Gerig. Segmentation of 2-D and 3-D objects from MRI volume data using constrained elastic defromations of flexible Fourier contour and surface models.Medical Image Analysis, 1(1):19–34, March 1996.

    Article  PubMed  Google Scholar 

  76. N. C. Andreasen, S. Arndt, V. Swayze II, T. Cizadlo, M. Flaum, D. O'Leary, J. C. Ehrhardt, and W. T. C. Yuh. Thalamic Abnormalities in SchizophreniaVisualized Through Magnetic Resonance Image Averaging. Science, 266:294–298, October 1994.

    Google Scholar 

  77. A. Colchester, G. Gerig, T. Crow, N. Ayache, and D. Vandermeulen. Biomorph: Development and validation of techniques for brain morphometry. Technical report, BIOMED2, European Project, 1996. available through A. Colchester: a.colchesterOukc.ac.uk.

    Google Scholar 

  78. K. Hoehne, M. Bomans, M. Riemer, R. Schubert, U. Tiede, and W. Lierse. A volume-based anatomical atlas. IEEE Computer Graphics and Applications, 12(4), 1992.

    Google Scholar 

  79. W. Nowinski, R. Bryan, and R. Raghavan, editors. The electrical clinical brain atlas. Three-dimensional navigation of the human brain. Thieme,N.Y., 1996.

    Google Scholar 

  80. A. Guimond, G. Subsol, and J.-Ph. Thirion. Automatic MRI Database Exploration and Applications. International Journal on Pattern Recognition and Artificial Intelligence, 1997. Accepted for publication.

    Google Scholar 

  81. S. Kumar and D. Goldgof. Automatic Tracking of SPAMM Grid and the Estimation of Deformation Parameters from Cardiac MR Images. In IEEE Transactions on Medical Imaging, pages 122–132, March 1994.

    Google Scholar 

  82. A. Amini and J. Duncan. Bending and Stretching Models for LV wall Motion Analysis from Curves and Surfaces. In Image and Vision Computing, volume 10, pages 418–430, August 1992.

    Article  Google Scholar 

  83. S. Benayoun and N. Ayache. 3D motion analysis using differential geometry constraints. Int. Journal of Computer Vision, 1997. in press.

    Google Scholar 

  84. J.M. Gorce, D. Friboulet, and I. E. Magnin. Estimation of three-dimensional cardiac velocity fields: assessment of a differential method and application to 3-d et data. Medical Image Analysis, 1(3):245–261, 1997.

    Article  PubMed  Google Scholar 

  85. E. McVeigh. MRI of myocardial function: motion tracking techniques. Magnetic Resonance Imaging, 1996.

    Google Scholar 

  86. D. Kraitchman, A. Young, C.N. Chang, and L. Axel. Semi-Automatic Tracking of Myocardial Motion in MR Tagged Images. IEEE Transactions on Medical Imaging, 14(3):422–433, September 1995.

    Article  Google Scholar 

  87. M.A. Guttman, J.L. Prince, and E.R. McVeigh. Tag and Contour Detection in Tagged MR Images of the Left Ventricle. In IEEE Transactions on Medical Imaging, volume 13, pages 74–88, March 1994.

    Article  Google Scholar 

  88. P. Radeva, A. Amini, J. Huang, and E. Marti. Deformable B-Solids and Implicit Snakes for Localization and Tracking of MRI-SPAMM Data. In Mathematical Methods in Biomedical Image Analysis, June 1996. also in a special issue of Computer Vision and Image Understanding, May 1997.

    Google Scholar 

  89. T.S. Denney Jr and J.L. Prince. 3D Displacement Field Reconstruction from Planar Tagged Cardiac MR Images. In IEEE Workshop on Biomedical Image Analysis, pages 51–60, June 1994.

    Google Scholar 

  90. F.G. Meyer, R. Todd Constable, A. Sinusas, and J. Duncan. Tracking Myocardial Deformation Using Spatially-Constrained Velocities. In Y. Bizais et al., editor, Information Processing in Medical Imaging, pages 177–188, 1995.

    Google Scholar 

  91. J.C. McEachen, F. Meyer, R. Constable, A. Nehorai, and J. Duncan. A recursive filter for phase velocity assisted shape-based tracking of cardiac non-rigid motion. In IEEE Fifth International Conference on Computer Vision, pages 653–658, June 1995.

    Google Scholar 

  92. C. Nastar and N. Ayache. Frequency-based nonrigid motion analysis: Application to 4 dimensional medical images. IEEE Transaction on Pattern Analysis and Machine Intelligence (PAMI), 18(11):1067–1079, November 1996.

    Article  Google Scholar 

  93. B. Horowitz and A. Pentland. Recovery of non-rigid motion and structure. In IEEE Conf. on Computer Vision and Pattern Recognition, CVPR'91, pages 325–330, Lahaina, Maui, Hawaii, June 1991.

    Google Scholar 

  94. J. Park, D. Metaxas, and L. Axel. Analysis of left ventricular motion based on volumetric deformable models and MRI-SPAMM. Medical Image Analysis, 1(1):53–71, March 1996.

    Article  PubMed  Google Scholar 

  95. E. Bardinet, L.D. Cohen, and N. Ayache. Tracking and motion analysis of the left ventricle with deformable superquadrics. Medical Image Analysis, 1(2):129–149, 1996. (also INRIA research report #2797).

    Article  PubMed  Google Scholar 

  96. J. Declerck, J. Feldmar, and N. Ayache. Definition of a 4D continuous polar transformation for the tracking and the analysis of LV motion. In J. Troccaz E. Grimson, R. Moesges, editor, CVRMed-MRCAS: International Conference on medical computer vision, virtual reality, robotics and computer assisted surgery, Grenoble, France, 1997. Springer-Verlag. Lecture Notes in Computer Science.

    Google Scholar 

  97. A. Young, D. Kraitchman, L. Dougherty, and L. Axel. Tracking and Finite Element Analysis of Stripe Deformation in Magnetic Resonance Tagging. IEEE Transactions on Medical Imaging, 14(3):413–421, September 1995.

    Article  Google Scholar 

  98. E. McVeigh, M. Guttman, E. Poon, P. Chandrasekhar, C. Moore, E. Zerhouni, M. Solaiyappan, and P. Ann Heng. Visualization and Analysis of Functional Cardiac MRI data. In SPIE, editor, Medical Imaging: Physiology and Function from Multidimensional Images, volume 2168, 1994.

    Google Scholar 

  99. P. Shi, G. Robinson, A. Chakraborty, L. Staib, R. Constable, A. Sinusas, and J. Duncan. A Unified Framework to Assess Myocardial Function from 4D Images. In Computer Vision, Virtual Reality and Robotics in Medicine, volume 905 of Lecture Notes in Computer Science, pages 327–337. Springer-Verlag, April 1995.

    Google Scholar 

  100. R. Baumann and D. Glauser. Force Feedback for Virtual Reality based Minimally Invasive Surgery Simulator. In Medecine Meets Virtual Reality, volume 4, San Diego, CA, January 1996.

    Google Scholar 

  101. P. Meseure and C. Chaillou. Deformable Body Simulation with Adaptative Subdivision and Cuttings. In Proceedings of the WSCG'97, pages 361–370, February 1997.

    Google Scholar 

  102. U.G. Kuehnapfel and B. Neisius. CAD-Based Graphical Computer Simulation in Endoscopic Surgery. End. Surg., 1:181–184, 1993.

    Google Scholar 

  103. S. Gibson, J. Samosky, A. Mor, C. Fyock, E. Grimson, T. Kanade, R. Kikinis, H. Lauer, N. McKenzie, S. Nakajima, H. Ohkami, R. Osborne, and A. Sawada. Simulating arthroscopic knee surgery using volumetric object representations, real-time volume rendering and haptic feedback. In CVRMed-MRCAS: International Conference on medical computer vision, virtual reality, robotics and computer assisted surgery, Lecture Notes in Computer Science, 1997.

    Google Scholar 

  104. S. A. Cover, N. F. Ezquerra, and J. F. O'Brien. Interactively Deformable Models for Surgery Simulation. IEEE Computer Graphics and Applications, pages 68–75, 1993.

    Google Scholar 

  105. M. A. Sagar, D. Bullivant, G. Mallinson, P. Hunter, and I. Hunter. A Virtual Environment and Model of the Eye for Surgical Simulation. In Computer Graphics, Annual Conference Series, pages 205–212, 1994.

    Google Scholar 

  106. Le Tallec, P. and Rahier, C. and Kaiss, A. Three Dimensional Incompressible Viscoelasticity in Large Strains. Computer Methods in Apllied Mechanics and Engineering, 109:233–258, 1993.

    Article  Google Scholar 

  107. M. Bro-Nielsen and S. Cotin. Real-time Volumetric Deformable Models for Surgery Simulation using Finite Elements and Condensation. In Proceedings of Eurographics'96-Computer Forum, volume 15, pages 57–66, 1996.

    Article  Google Scholar 

  108. G. J. Song and N. P. Reddy. Tissue Cutting In Virtual Environment. In Medecine Meets Virtual Reality IV, pages 359–364. IOS Press, 1995.

    Google Scholar 

  109. B. Pflesser, U. Tiede, and Hoehme. Towards realistic visualization for surgery rehearsal. In Computer Vision, Virtual Reality and Robotics in Medecine, volume 905 of Lecture Notes in Computer Science, pages 487–491. Springer, April 1995.

    Google Scholar 

  110. S. Cotin, H. Delingette, J-M. Clöment, V. Tassetti, J. Marescaux, and N. Ayache. Geometric and Physical Representations for a Simulator of Hepatic Surgery. In Medecine Meets Virtual Reality IV, Interactive Technology and the New Paradigm for Healthcare, pages 139–151. IOS Press, January 1996.

    Google Scholar 

  111. S. Cotin, H. Delingette, and N. Ayache. Real Time Volumetric Deformable Models for Surgery Simulation. In K. Hohne and R. Kikinis, editors, Vizualisation in Biomedical Computing, volume 1131 of Lecture Notes in Computer Science, pages 535–540. Springer, 1996.

    Google Scholar 

  112. S. Cotin, H. Delingette, and N. Ayache. Real-time non-linear elastic deformations of soft tissues for surgery simulation. Technical Report 0000, INRIA, March to appear.

    Google Scholar 

  113. H. Delingette. Towards realistic soft tissue modeling in medical simulation. Proceedings of the IEEE, March 1998. in press.

    Google Scholar 

  114. A. Schweikard, J. Adler, and J.C. Latombe. Motion planning in stereotaxic radiosurgery. IEEE. Trans. on robotics and automation, 1995.

    Google Scholar 

  115. C. Cutting, F. Bookstein, and R. Taylor. Applications of simulation, morphometrics and robotics in craniofacial surgery. In R. Taylor, S. Lavallee, G. Burdea, and R. Moesges, editors, Computer Integrated Surgery, pages 641–662. MIT Press, 1995.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

R. K. Shyamasundar K. Ueda

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ayache, N. (1997). Medical image analysis and simulation. In: Shyamasundar, R.K., Ueda, K. (eds) Advances in Computing Science — ASIAN'97. ASIAN 1997. Lecture Notes in Computer Science, vol 1345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63875-X_39

Download citation

  • DOI: https://doi.org/10.1007/3-540-63875-X_39

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63875-9

  • Online ISBN: 978-3-540-69658-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics