Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans (original) (raw)

Abstract

We developed an automated system that registers chest CT images temporally. Our registration method matches corresponding anatomical landmarks to obtain initial registration parameters. The initial point-to-point registration is then generalized to an iterative surface-tosurface registration method. Our “goodness-of-fit” measure is evaluated at each step in the iterative scheme until the registration performance is sufficient. We applied our method to register the 3D lung surfaces of 10 pairs of chest CT scans and report a promising registration performance.1

The support of the Office of Naval Research, National Science Foundation, Radiological Society of North America, and the Whitaker Foundation is gratefully acknowledged.

Chapter PDF

References

  1. R. J. Althof, M. G. J. Wind, and J. T. Dobbins III. A rapid and automatic image registration algorithm with subpixel accuracy. IEEE Trans Med Imag, 16(3):308–316, 1997.
    Article Google Scholar
  2. P. J. Besl and N.D. McKay. A method for registration of 3-D shapes. IEEE Trans Pattern Anal Mach Intell, 14(2):239–256, 1992.
    Article Google Scholar
  3. M. Betke, H. Hong, and J. P. Ko. Automatic 3D registration of lung surfaces in computed tomography scans. http://www.cs.bu.edu/techreports, 2001.
  4. M. Betke and J. P. Ko. Detection of pulmonary nodules on CT and volumetric assessment of change over time. In Medical Image Computing and Computer-Assisted Intervention–MICCAI’99, pages 245–252. Springer-Verlag, Berlin, 1999.
    Chapter Google Scholar
  5. M. Betke and N. C. Makris. Recognition, resolution and complexity of objects subject to affine transformation. Int J Comput Vis, 44(1), 2001.
    Google Scholar
  6. L. G. Brown. A survey of image registration techniques. ACM Computing Surveys, 24(4):325–375, December 1992.
    Article Google Scholar
  7. W. R. Fright and A. D. Linney. Registration of 3-D head surfaces using multiple landmarks. IEEE Trans Med Imag, 12(3):515–520, 1993.
    Article Google Scholar
  8. B. K. P. Horn. Closed-form solution of absolute orientation using unit quaternions. J Opt Soc Am, 4(4):629–642, 1987.
    Article MathSciNet Google Scholar
  9. A. Kano, K. Doi, H. MacMahon, D. D. Hassell, and M. L. Giger. Digital image subtraction of temporally sequential chest imagers for detection of interval change. Med Phys, 21(3):453–461, 1994.
    Article Google Scholar
  10. J. P. Ko and M. Betke. Chest CT: Automated nodule detection and assessment of change over time–preliminary experience. Radiology, 218(1):267–273, 2001.
    Google Scholar
  11. C. R. Maurer, G. B. Aboutanos, B. M. Dawant, R. J. Maciunas, and J. M. Fitzpatrick. Registration of 3-D images using weighted geometrical features. IEEE Trans Med Imag, 15(6):836–849, 1996.
    Article Google Scholar
  12. D. N. Metaxas. Physics-Based Deformable Models: Applications to Computer Vision, Graphics, and Medical Imaging. Kluwer Academic Press, Boston, 1997.
    Google Scholar
  13. C. F. Mountain. Revisions in the international system for staging lung cancer. Chest, 111(6):1710–1717, June 1997.
    Article Google Scholar
  14. C. A. Pelizzari, G. T. Chen, D. R. Spelbring, R. R. Weichselbaum, and C. T. Chen. Accurate three-dimensional registration of CT, PET and/or MR images of the brain. J Comput Assist Tomogr, 13:20–26, 1989.
    Article Google Scholar
  15. P. A. Van den Elsen, E.-J. D. Pol, and M. A. Viergever. Medical image matching–A review with classification. IEEE Eng Med Biol Mag, pages 26–39, March 1993.
    Google Scholar

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, Boston University, Boston, MA, 02215, USA
    Margrit Betke PhD & Harrison Hong BA
  2. Department of Radiology, New York University Medical School, New York, NY, 10016, USA
    Jane P. Ko MD

Authors

  1. Margrit Betke PhD
  2. Harrison Hong BA
  3. Jane P. Ko MD

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

Rights and permissions

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Betke, M., Hong, H., Ko, J.P. (2001). Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_87

Download citation

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Publish with us