Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis

  • Authors:
  • E. Bas;D. Erdogmus;R. W. Draft;J. W. Lichtman

  • Affiliations:
  • Department of Electrical and Computer Engineering, Northeastern University, 360 Huntington Ave., 409 Dana Research Center, Boston, MA 02148, United States;Department of Electrical and Computer Engineering, Northeastern University, 360 Huntington Ave., 409 Dana Research Center, Boston, MA 02148, United States;Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA 02138, United States;Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, MA 02138, United States

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2012

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Abstract

In this study, we compare two vectorial tracing methods for 3D color images: (i) a conventional piecewise linear generalized cylinder algorithm that uses color and edge information and (ii) a principal curve tracing algorithm that uses the gradient and Hessian of a given density estimate. We tested the algorithms on synthetic and Brainbow dataset to show the effectiveness of the proposed algorithms. Results indicate that the proposed methods can successfully trace multiple axons in dense neighborhoods.