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3D Dendrite Reconstruction and Spine Identification

  • Wengang Zhou
  • Houqiang Li
  • Xiaobo Zhou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5242)

Abstract

In neuron-biology, 3D neuron dendrite reconstruction followed by spine identification is indispensable for the study of neuronal functions and biophysical properties. In this paper, we propose an automatic dendrite reconstruction method to with a surface representation of the neuron on the basis of a novel level set approach. Our novel level set approach can effectively tackle the problem of segmentation under blurring and intensity in-homogeneity. Then spines are detected based on dendrite medial axis and a label-based thinning strategy is proposed to accurately extract the dendrite skeleton for spine identification. Experimental results reveal that our method works well.

Keywords

Dendrite spine reconstruction level set segmentation skeleton 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Wengang Zhou
    • 1
  • Houqiang Li
    • 1
  • Xiaobo Zhou
    • 2
  1. 1.Department of EEISUniversity of Science and Technology of ChinaHefeiP.R. China
  2. 2.Center of Biotechnology and Informatics, The Methodist HospitalResearch Institute & Weill Medical College of Cornell UniversityHouston

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