Advertisement

A Multiscale Morphological Approach to Topology Correction of Cortical Surfaces

  • Kai Li
  • Allen D. Malony
  • Don M. Tucker
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4091)

Abstract

We present a topology correction method for automatic reconstruction of brain cortical surfaces. We take the volume-based approach by first correcting the topology of the white matter volumes followed by extracting the cortical surfaces. A multiscale method is taken so that topology errors are gradually corrected with respect to the correction cost. The special surface-likeness property of white matter and gray matter is considered in evaluating the cost of topology correction.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bertrand, G.: Simple Points, Topological Numbers and Geodesic Neighborhoods in Cubic Grids. Pattern Recognition Letters 15, 1003–1011 (1994)CrossRefGoogle Scholar
  2. 2.
    Han, X., Xu, C., Braga-Neto, U., Prince, J.L.: Topology Correction in Brain Cortex Segmentation Using a Multiscale, Graph-Based Algorithm. IEEE Trans. Medical Imaging 21, 109–121 (2002)CrossRefGoogle Scholar
  3. 3.
    Han, X., Xu, C., Prince, J.L.: A Topology Preserving Level set Method for Geometric Deformable Models. IEEE Trans. Pat. Ana. Mach. Int. 25 (2003)Google Scholar
  4. 4.
    Kong, T.Y., Rosenfeld, A.: Digital topology: Introduction and survey. Comput. Vision Graphics Image Process 46, 357–393 (1989)CrossRefGoogle Scholar
  5. 5.
    Kriegeskorte, N., Goebel, R.: An Efficient Algorithm for Topologically Correct Segmentation of the Cortical Sheet in Anatomical MR Volumes. NeuroImage 14, 329–346 (2001)CrossRefGoogle Scholar
  6. 6.
    Li, K., Malony, A.D., Tucker, D.: Automatic Brain MR Image Segmentation By Relative Thresholding and Morphological Image Analysis. In: Proceedings of International Conference on Computer Vision Theory and Applications (VISAPP) 2006, Setubal, Portugal (February 2006)Google Scholar
  7. 7.
    Natarajan, B.K.: On Generating Topologically Consistent Isosurfaces From Uniform Samples. Visual Computer 11, 52–62 (1994)CrossRefGoogle Scholar
  8. 8.
    Segonne, F., Pons, J., Grimson, E., Fischl, B.: Active Contours Under Topology Control Genus Preserving Level Sets. In: Proceedings of CVIBA 2005, pp. 135–145 (2005)Google Scholar
  9. 9.
    Shattuck, D.W., Leahy, R.M.: Automated Graph-based Analysis and Correction of Cortical Volume Topology. IEEE Trans. Med. Img. 11, 1167–1177 (2001)CrossRefGoogle Scholar
  10. 10.
    Van Essen, D.C., Drury, H.A., Joshi, S., Miller, M.I.: Functional and structural mapping of human cerebral cortex: Solutions are in the surfaces. Proc. Natl. Acad. Sci. USA 95, 788–795 (1995)CrossRefGoogle Scholar
  11. 11.
    Wood, Z., Hoppe, H., Desbrun, M., Schroder, P.: Removing Excess Topology. ACM Trans. Graphics 23, 190–208 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kai Li
    • 1
  • Allen D. Malony
    • 1
  • Don M. Tucker
    • 2
  1. 1.University of OregonEugeneUSA
  2. 2.Electrical Geodesics, Inc. Riverfront Research PartEugeneUSA

Personalised recommendations