A Binary Entropy Measure to Assess Nonrigid Registration Algorithms (original) (raw)

References

  1. M. I. Miller, G. E. Christensen, Y. Amit, and U. Grenander, “Mathematical textbook of deformable neuroanatomies,” Proc. Natl. Acad. Sci. USA, vol. 90, pp. 11944–11948, December 1993.
    Article MATH Google Scholar
  2. P. M. Thompson, J. N. Giedd, R. P. Woods, D. MacDonald, A. C. Evans, and A. W. Toga, “Growth patterns in the developing brain detected by using continuum mechanical tensor maps,” Nature, vol. 404, pp. 190–193, 2000.
    Article Google Scholar
  3. T. Paus, A. Zijdenbos, K. Worsley, D. L. Collins, J. Blumenthal, J. N. Gledd, J. L. Rapoport, and A. C. Evans, “Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo Study,” Science, vol. 283, pp. 1908–1911, 19 March 1999.
    Article Google Scholar
  4. P. M. Thompson, D. MacDonald, M. S. Mega, C. J. Holmes, A. C. Evans, and A. W. Toga, “Detection and Mapping of Abnormal Brain Structures with a Probabilistic Atlas of Cortical Surfaces,” Journal of Computer Assisted Tomography, vol. 21,no. 4, pp. 567–581, 1997.
    Article Google Scholar
  5. A. W. Toga, ed., Brain Warping. Academic Press, San Diego, USA, 1999.
    Google Scholar
  6. R. Bajcsy and S. Kovačič, “Multiresolution Elastic Matching,” Computer Vision, Graphics, and Image Processing, vol. 46, pp. 1–21, 1989.
    Article Google Scholar
  7. J. Dengler and M. Schmidt, “The Dynamic Pyramid–A Model for Motion Analysis with Controlled Continuity,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 2,no. 2, pp.275–286, 1988.
    Article Google Scholar
  8. S.K. Warfield, A. Robatino, J. Dengler, F. A. Jolesz, and R. Kikinis, “Nonlinear Registration and Template Driven Segmentation,” in Brain Warping (A. W. Toga, ed.), ch. 4, pp. 67–84, San Diego, USA: Academic Press, 1999.
    Chapter Google Scholar
  9. G. E. Christensen, R. D. Rabbitt, and M. I. Miller, “3D brain mapping using a deformable neuroanatomy,” Phys. Med. Biol., vol. 39, pp. 609–618, 1994.
    Article Google Scholar
  10. J. C. Gee, M. Reivich, and R. Bajcsy, “Elastically Deforming 3D Atlas to Match Anatomical Brain Images,” Journal of Computer Assisted Tomography, vol. 17,no. 2, pp. 225–236, 1993.
    Article Google Scholar
  11. D. L. Collins, 3D Model-based segmentation of individual brain structures from magnetic resonance imaging data. PhD thesis, McGill University, 1994.
    Google Scholar
  12. J. Thirion, “Image matching as a di.usion process: an analogy with maxwell’s demons,” Medical Image Analysis, vol. 2,no. 3, pp. 243–260, 1998.
    Article Google Scholar
  13. J. Ashburner and K. J. Friston, “Spatial Normalization,” in Brain Warping (A. W. Toga, ed.), ch. 2, pp. 27–44, San Diego, USA: Academic Press, 1999.
    Chapter Google Scholar
  14. T. Cover and J. Thomas, Elements of Information Theory. Wiley, 1991.
    Google Scholar
  15. A. Collignon, D. Vandermuelen, P. Suetens, and G. Marchal, “3D multi-modality medical image registration using feature space clustering,” in Computer Vision, Virtual Reality and Robotics in Medicine (N. Ayache, ed.), pp. 195–204, Springer Verlag, 1995.
    Google Scholar
  16. P. Viola and W. M. Wells, “Alignment by maximization of mutual information,” in Fifth Intl. Conf. Computer Vision (ICCV), pp. 16–23, IEEE Press, 1995.
    Google Scholar
  17. E. Miller, N. Matsakis, and P. Viola, “Learning from One Example Through Shared Densities on Transforms,” in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition, vol. 1, pp. 464–471, 2000.
    Google Scholar
  18. P. Hüppi, S. Warfield, R. Kikinis, P. D. Barnes, G. P. Zientara, F. A. Jolesz, M. K. Tsuji, and J. J. Volpe, “Quantitative Magnetic Resonance Imaging of Brain Development in Premature and Mature Newborns,” Ann. Neurol., vol. 43, pp. 224–235, Feb 1998.
    Article Google Scholar
  19. S. K. Warfield, M. Kaus, F. A. Jolesz, and R. Kikinis, “Adaptive, Template Moderated, Spatially Varying Statistical Classification,” Med Image Anal, vol. 4, pp. 43–55, Mar 2000.
    Article Google Scholar
  20. S. K. Warfield, F. Jolesz, and R. Kikinis, “A High Performance Computing Approach to the Registration of Medical Imaging Data,” Parallel Computing, vol. 24, pp. 1345–1368, Sep 1998.
    Article Google Scholar
  21. M. Ferrant, S. K. Warfield, A. Nabavi, B. Macq, and R. Kikinis, “Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model,” in MICCAI 2000: Third International Conference on Medical Robotics, Imaging And Computer Assisted Surgery; 2000 Oct 11–14; Pittsburgh, USA (A. M. DiGioia and S. Delp, eds.), (Heidelberg, Germany), pp. 19–28, Springer-Verlag, 2000.
    Google Scholar

Download references